what problem solving technique

35 problem-solving techniques and methods for solving complex problems

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How do you identify problems?

How do you identify the right solution.

Tips for more effective problem-solving

Complete problem-solving methods

Problem-solving techniques to identify and analyze problems
Problem-solving techniques for developing solutions

Problem-solving warm-up activities

Closing activities for a problem-solving process.

Before you can move towards finding the right solution for a given problem, you first need to identify and define the problem you wish to solve.

Here, you want to clearly articulate what the problem is and allow your group to do the same. Remember that everyone in a group is likely to have differing perspectives and alignment is necessary in order to help the group move forward.

Identifying a problem accurately also requires that all members of a group are able to contribute their views in an open and safe manner. It can be scary for people to stand up and contribute, especially if the problems or challenges are emotive or personal in nature. Be sure to try and create a psychologically safe space for these kinds of discussions.

Remember that problem analysis and further discussion are also important. Not taking the time to fully analyze and discuss a challenge can result in the development of solutions that are not fit for purpose or do not address the underlying issue.

Successfully identifying and then analyzing a problem means facilitating a group through activities designed to help them clearly and honestly articulate their thoughts and produce usable insight.

With this data, you might then produce a problem statement that clearly describes the problem you wish to be addressed and also state the goal of any process you undertake to tackle this issue.

Finding solutions is the end goal of any process. Complex organizational challenges can only be solved with an appropriate solution but discovering them requires using the right problem-solving tool.

After you’ve explored a problem and discussed ideas, you need to help a team discuss and choose the right solution. Consensus tools and methods such as those below help a group explore possible solutions before then voting for the best. They’re a great way to tap into the collective intelligence of the group for great results!

Remember that the process is often iterative. Great problem solvers often roadtest a viable solution in a measured way to see what works too. While you might not get the right solution on your first try, the methods below help teams land on the most likely to succeed solution while also holding space for improvement.

Every effective problem solving process begins with an agenda . A well-structured workshop is one of the best methods for successfully guiding a group from exploring a problem to implementing a solution.

In SessionLab, it’s easy to go from an idea to a complete agenda . Start by dragging and dropping your core problem solving activities into place . Add timings, breaks and necessary materials before sharing your agenda with your colleagues.

The resulting agenda will be your guide to an effective and productive problem solving session that will also help you stay organized on the day!

Tips for more effective problem solving

Problem-solving activities are only one part of the puzzle. While a great method can help unlock your team’s ability to solve problems, without a thoughtful approach and strong facilitation the solutions may not be fit for purpose.

Let’s take a look at some problem-solving tips you can apply to any process to help it be a success!

Clearly define the problem

Jumping straight to solutions can be tempting, though without first clearly articulating a problem, the solution might not be the right one. Many of the problem-solving activities below include sections where the problem is explored and clearly defined before moving on.

This is a vital part of the problem-solving process and taking the time to fully define an issue can save time and effort later. A clear definition helps identify irrelevant information and it also ensures that your team sets off on the right track.

Don’t jump to conclusions

It’s easy for groups to exhibit cognitive bias or have preconceived ideas about both problems and potential solutions. Be sure to back up any problem statements or potential solutions with facts, research, and adequate forethought.

The best techniques ask participants to be methodical and challenge preconceived notions. Make sure you give the group enough time and space to collect relevant information and consider the problem in a new way. By approaching the process with a clear, rational mindset, you’ll often find that better solutions are more forthcoming.

Try different approaches

Problems come in all shapes and sizes and so too should the methods you use to solve them. If you find that one approach isn’t yielding results and your team isn’t finding different solutions, try mixing it up. You’ll be surprised at how using a new creative activity can unblock your team and generate great solutions.

Don’t take it personally

Depending on the nature of your team or organizational problems, it’s easy for conversations to get heated. While it’s good for participants to be engaged in the discussions, ensure that emotions don’t run too high and that blame isn’t thrown around while finding solutions.

You’re all in it together, and even if your team or area is seeing problems, that isn’t necessarily a disparagement of you personally. Using facilitation skills to manage group dynamics is one effective method of helping conversations be more constructive.

Get the right people in the room

Your problem-solving method is often only as effective as the group using it. Getting the right people on the job and managing the number of people present is important too!

If the group is too small, you may not get enough different perspectives to effectively solve a problem. If the group is too large, you can go round and round during the ideation stages.

Creating the right group makeup is also important in ensuring you have the necessary expertise and skillset to both identify and follow up on potential solutions. Carefully consider who to include at each stage to help ensure your problem-solving method is followed and positioned for success.

Document everything

The best solutions can take refinement, iteration, and reflection to come out. Get into a habit of documenting your process in order to keep all the learnings from the session and to allow ideas to mature and develop. Many of the methods below involve the creation of documents or shared resources. Be sure to keep and share these so everyone can benefit from the work done!

Bring a facilitator

Facilitation is all about making group processes easier. With a subject as potentially emotive and important as problem-solving, having an impartial third party in the form of a facilitator can make all the difference in finding great solutions and keeping the process moving. Consider bringing a facilitator to your problem-solving session to get better results and generate meaningful solutions!

Develop your problem-solving skills

It takes time and practice to be an effective problem solver. While some roles or participants might more naturally gravitate towards problem-solving, it can take development and planning to help everyone create better solutions.

You might develop a training program, run a problem-solving workshop or simply ask your team to practice using the techniques below. Check out our post on problem-solving skills to see how you and your group can develop the right mental process and be more resilient to issues too!

Design a great agenda

Workshops are a great format for solving problems. With the right approach, you can focus a group and help them find the solutions to their own problems. But designing a process can be time-consuming and finding the right activities can be difficult.

Check out our workshop planning guide to level-up your agenda design and start running more effective workshops. Need inspiration? Check out templates designed by expert facilitators to help you kickstart your process!

In this section, we’ll look at in-depth problem-solving methods that provide a complete end-to-end process for developing effective solutions. These will help guide your team from the discovery and definition of a problem through to delivering the right solution.

If you’re looking for an all-encompassing method or problem-solving model, these processes are a great place to start. They’ll ask your team to challenge preconceived ideas and adopt a mindset for solving problems more effectively.

Six Thinking Hats
Lightning Decision Jam
Problem Definition Process
Discovery & Action Dialogue

Design Sprint 2.0

Open Space Technology

1. Six Thinking Hats

Individual approaches to solving a problem can be very different based on what team or role an individual holds. It can be easy for existing biases or perspectives to find their way into the mix, or for internal politics to direct a conversation.

Six Thinking Hats is a classic method for identifying the problems that need to be solved and enables your team to consider them from different angles, whether that is by focusing on facts and data, creative solutions, or by considering why a particular solution might not work.

Like all problem-solving frameworks, Six Thinking Hats is effective at helping teams remove roadblocks from a conversation or discussion and come to terms with all the aspects necessary to solve complex problems.

2. Lightning Decision Jam

Featured courtesy of Jonathan Courtney of AJ&Smart Berlin, Lightning Decision Jam is one of those strategies that should be in every facilitation toolbox. Exploring problems and finding solutions is often creative in nature, though as with any creative process, there is the potential to lose focus and get lost.

Unstructured discussions might get you there in the end, but it’s much more effective to use a method that creates a clear process and team focus.

In Lightning Decision Jam, participants are invited to begin by writing challenges, concerns, or mistakes on post-its without discussing them before then being invited by the moderator to present them to the group.

From there, the team vote on which problems to solve and are guided through steps that will allow them to reframe those problems, create solutions and then decide what to execute on.

By deciding the problems that need to be solved as a team before moving on, this group process is great for ensuring the whole team is aligned and can take ownership over the next stages.

Lightning Decision Jam (LDJ) #action #decision making #problem solving #issue analysis #innovation #design #remote-friendly The problem with anything that requires creative thinking is that it’s easy to get lost—lose focus and fall into the trap of having useless, open-ended, unstructured discussions. Here’s the most effective solution I’ve found: Replace all open, unstructured discussion with a clear process. What to use this exercise for: Anything which requires a group of people to make decisions, solve problems or discuss challenges. It’s always good to frame an LDJ session with a broad topic, here are some examples: The conversion flow of our checkout Our internal design process How we organise events Keeping up with our competition Improving sales flow

3. Problem Definition Process

While problems can be complex, the problem-solving methods you use to identify and solve those problems can often be simple in design.

By taking the time to truly identify and define a problem before asking the group to reframe the challenge as an opportunity, this method is a great way to enable change.

Begin by identifying a focus question and exploring the ways in which it manifests before splitting into five teams who will each consider the problem using a different method: escape, reversal, exaggeration, distortion or wishful. Teams develop a problem objective and create ideas in line with their method before then feeding them back to the group.

This method is great for enabling in-depth discussions while also creating space for finding creative solutions too!

Problem Definition #problem solving #idea generation #creativity #online #remote-friendly A problem solving technique to define a problem, challenge or opportunity and to generate ideas.

4. The 5 Whys

Sometimes, a group needs to go further with their strategies and analyze the root cause at the heart of organizational issues. An RCA or root cause analysis is the process of identifying what is at the heart of business problems or recurring challenges.

The 5 Whys is a simple and effective method of helping a group go find the root cause of any problem or challenge and conduct analysis that will deliver results.

By beginning with the creation of a problem statement and going through five stages to refine it, The 5 Whys provides everything you need to truly discover the cause of an issue.

The 5 Whys #hyperisland #innovation This simple and powerful method is useful for getting to the core of a problem or challenge. As the title suggests, the group defines a problems, then asks the question “why” five times, often using the resulting explanation as a starting point for creative problem solving.

5. World Cafe

World Cafe is a simple but powerful facilitation technique to help bigger groups to focus their energy and attention on solving complex problems.

World Cafe enables this approach by creating a relaxed atmosphere where participants are able to self-organize and explore topics relevant and important to them which are themed around a central problem-solving purpose. Create the right atmosphere by modeling your space after a cafe and after guiding the group through the method, let them take the lead!

Making problem-solving a part of your organization’s culture in the long term can be a difficult undertaking. More approachable formats like World Cafe can be especially effective in bringing people unfamiliar with workshops into the fold.

World Cafe #hyperisland #innovation #issue analysis World Café is a simple yet powerful method, originated by Juanita Brown, for enabling meaningful conversations driven completely by participants and the topics that are relevant and important to them. Facilitators create a cafe-style space and provide simple guidelines. Participants then self-organize and explore a set of relevant topics or questions for conversation.

6. Discovery & Action Dialogue (DAD)

One of the best approaches is to create a safe space for a group to share and discover practices and behaviors that can help them find their own solutions.

With DAD, you can help a group choose which problems they wish to solve and which approaches they will take to do so. It’s great at helping remove resistance to change and can help get buy-in at every level too!

This process of enabling frontline ownership is great in ensuring follow-through and is one of the methods you will want in your toolbox as a facilitator.

Discovery & Action Dialogue (DAD) #idea generation #liberating structures #action #issue analysis #remote-friendly DADs make it easy for a group or community to discover practices and behaviors that enable some individuals (without access to special resources and facing the same constraints) to find better solutions than their peers to common problems. These are called positive deviant (PD) behaviors and practices. DADs make it possible for people in the group, unit, or community to discover by themselves these PD practices. DADs also create favorable conditions for stimulating participants’ creativity in spaces where they can feel safe to invent new and more effective practices. Resistance to change evaporates as participants are unleashed to choose freely which practices they will adopt or try and which problems they will tackle. DADs make it possible to achieve frontline ownership of solutions.

7. Design Sprint 2.0

Want to see how a team can solve big problems and move forward with prototyping and testing solutions in a few days? The Design Sprint 2.0 template from Jake Knapp, author of Sprint, is a complete agenda for a with proven results.

Developing the right agenda can involve difficult but necessary planning. Ensuring all the correct steps are followed can also be stressful or time-consuming depending on your level of experience.

Use this complete 4-day workshop template if you are finding there is no obvious solution to your challenge and want to focus your team around a specific problem that might require a shortcut to launching a minimum viable product or waiting for the organization-wide implementation of a solution.

8. Open space technology

Open space technology- developed by Harrison Owen – creates a space where large groups are invited to take ownership of their problem solving and lead individual sessions. Open space technology is a great format when you have a great deal of expertise and insight in the room and want to allow for different takes and approaches on a particular theme or problem you need to be solved.

Start by bringing your participants together to align around a central theme and focus their efforts. Explain the ground rules to help guide the problem-solving process and then invite members to identify any issue connecting to the central theme that they are interested in and are prepared to take responsibility for.

Once participants have decided on their approach to the core theme, they write their issue on a piece of paper, announce it to the group, pick a session time and place, and post the paper on the wall. As the wall fills up with sessions, the group is then invited to join the sessions that interest them the most and which they can contribute to, then you’re ready to begin!

Everyone joins the problem-solving group they’ve signed up to, record the discussion and if appropriate, findings can then be shared with the rest of the group afterward.

Open Space Technology #action plan #idea generation #problem solving #issue analysis #large group #online #remote-friendly Open Space is a methodology for large groups to create their agenda discerning important topics for discussion, suitable for conferences, community gatherings and whole system facilitation

Techniques to identify and analyze problems

Using a problem-solving method to help a team identify and analyze a problem can be a quick and effective addition to any workshop or meeting.

While further actions are always necessary, you can generate momentum and alignment easily, and these activities are a great place to get started.

We’ve put together this list of techniques to help you and your team with problem identification, analysis, and discussion that sets the foundation for developing effective solutions.

Let’s take a look!

The Creativity Dice
Fishbone Analysis
Problem Tree
SWOT Analysis
Agreement-Certainty Matrix
The Journalistic Six
LEGO Challenge
What, So What, Now What?
Journalists

Individual and group perspectives are incredibly important, but what happens if people are set in their minds and need a change of perspective in order to approach a problem more effectively?

Flip It is a method we love because it is both simple to understand and run, and allows groups to understand how their perspectives and biases are formed.

Participants in Flip It are first invited to consider concerns, issues, or problems from a perspective of fear and write them on a flip chart. Then, the group is asked to consider those same issues from a perspective of hope and flip their understanding.

No problem and solution is free from existing bias and by changing perspectives with Flip It, you can then develop a problem solving model quickly and effectively.

Flip It! #gamestorming #problem solving #action Often, a change in a problem or situation comes simply from a change in our perspectives. Flip It! is a quick game designed to show players that perspectives are made, not born.

10. The Creativity Dice

One of the most useful problem solving skills you can teach your team is of approaching challenges with creativity, flexibility, and openness. Games like The Creativity Dice allow teams to overcome the potential hurdle of too much linear thinking and approach the process with a sense of fun and speed.

In The Creativity Dice, participants are organized around a topic and roll a dice to determine what they will work on for a period of 3 minutes at a time. They might roll a 3 and work on investigating factual information on the chosen topic. They might roll a 1 and work on identifying the specific goals, standards, or criteria for the session.

Encouraging rapid work and iteration while asking participants to be flexible are great skills to cultivate. Having a stage for idea incubation in this game is also important. Moments of pause can help ensure the ideas that are put forward are the most suitable.

The Creativity Dice #creativity #problem solving #thiagi #issue analysis Too much linear thinking is hazardous to creative problem solving. To be creative, you should approach the problem (or the opportunity) from different points of view. You should leave a thought hanging in mid-air and move to another. This skipping around prevents premature closure and lets your brain incubate one line of thought while you consciously pursue another.

11. Fishbone Analysis

Organizational or team challenges are rarely simple, and it’s important to remember that one problem can be an indication of something that goes deeper and may require further consideration to be solved.

Fishbone Analysis helps groups to dig deeper and understand the origins of a problem. It’s a great example of a root cause analysis method that is simple for everyone on a team to get their head around.

Participants in this activity are asked to annotate a diagram of a fish, first adding the problem or issue to be worked on at the head of a fish before then brainstorming the root causes of the problem and adding them as bones on the fish.

Using abstractions such as a diagram of a fish can really help a team break out of their regular thinking and develop a creative approach.

Fishbone Analysis #problem solving ##root cause analysis #decision making #online facilitation A process to help identify and understand the origins of problems, issues or observations.

12. Problem Tree

Encouraging visual thinking can be an essential part of many strategies. By simply reframing and clarifying problems, a group can move towards developing a problem solving model that works for them.

In Problem Tree, groups are asked to first brainstorm a list of problems – these can be design problems, team problems or larger business problems – and then organize them into a hierarchy. The hierarchy could be from most important to least important or abstract to practical, though the key thing with problem solving games that involve this aspect is that your group has some way of managing and sorting all the issues that are raised.

Once you have a list of problems that need to be solved and have organized them accordingly, you’re then well-positioned for the next problem solving steps.

Problem tree #define intentions #create #design #issue analysis A problem tree is a tool to clarify the hierarchy of problems addressed by the team within a design project; it represents high level problems or related sublevel problems.

13. SWOT Analysis

Chances are you’ve heard of the SWOT Analysis before. This problem-solving method focuses on identifying strengths, weaknesses, opportunities, and threats is a tried and tested method for both individuals and teams.

Start by creating a desired end state or outcome and bare this in mind – any process solving model is made more effective by knowing what you are moving towards. Create a quadrant made up of the four categories of a SWOT analysis and ask participants to generate ideas based on each of those quadrants.

Once you have those ideas assembled in their quadrants, cluster them together based on their affinity with other ideas. These clusters are then used to facilitate group conversations and move things forward.

SWOT analysis #gamestorming #problem solving #action #meeting facilitation The SWOT Analysis is a long-standing technique of looking at what we have, with respect to the desired end state, as well as what we could improve on. It gives us an opportunity to gauge approaching opportunities and dangers, and assess the seriousness of the conditions that affect our future. When we understand those conditions, we can influence what comes next.

14. Agreement-Certainty Matrix

Not every problem-solving approach is right for every challenge, and deciding on the right method for the challenge at hand is a key part of being an effective team.

The Agreement Certainty matrix helps teams align on the nature of the challenges facing them. By sorting problems from simple to chaotic, your team can understand what methods are suitable for each problem and what they can do to ensure effective results.

If you are already using Liberating Structures techniques as part of your problem-solving strategy, the Agreement-Certainty Matrix can be an invaluable addition to your process. We’ve found it particularly if you are having issues with recurring problems in your organization and want to go deeper in understanding the root cause.

Agreement-Certainty Matrix #issue analysis #liberating structures #problem solving You can help individuals or groups avoid the frequent mistake of trying to solve a problem with methods that are not adapted to the nature of their challenge. The combination of two questions makes it possible to easily sort challenges into four categories: simple, complicated, complex , and chaotic . A problem is simple when it can be solved reliably with practices that are easy to duplicate. It is complicated when experts are required to devise a sophisticated solution that will yield the desired results predictably. A problem is complex when there are several valid ways to proceed but outcomes are not predictable in detail. Chaotic is when the context is too turbulent to identify a path forward. A loose analogy may be used to describe these differences: simple is like following a recipe, complicated like sending a rocket to the moon, complex like raising a child, and chaotic is like the game “Pin the Tail on the Donkey.” The Liberating Structures Matching Matrix in Chapter 5 can be used as the first step to clarify the nature of a challenge and avoid the mismatches between problems and solutions that are frequently at the root of chronic, recurring problems.

Organizing and charting a team’s progress can be important in ensuring its success. SQUID (Sequential Question and Insight Diagram) is a great model that allows a team to effectively switch between giving questions and answers and develop the skills they need to stay on track throughout the process.

Begin with two different colored sticky notes – one for questions and one for answers – and with your central topic (the head of the squid) on the board. Ask the group to first come up with a series of questions connected to their best guess of how to approach the topic. Ask the group to come up with answers to those questions, fix them to the board and connect them with a line. After some discussion, go back to question mode by responding to the generated answers or other points on the board.

It’s rewarding to see a diagram grow throughout the exercise, and a completed SQUID can provide a visual resource for future effort and as an example for other teams.

SQUID #gamestorming #project planning #issue analysis #problem solving When exploring an information space, it’s important for a group to know where they are at any given time. By using SQUID, a group charts out the territory as they go and can navigate accordingly. SQUID stands for Sequential Question and Insight Diagram.

16. Speed Boat

To continue with our nautical theme, Speed Boat is a short and sweet activity that can help a team quickly identify what employees, clients or service users might have a problem with and analyze what might be standing in the way of achieving a solution.

Methods that allow for a group to make observations, have insights and obtain those eureka moments quickly are invaluable when trying to solve complex problems.

In Speed Boat, the approach is to first consider what anchors and challenges might be holding an organization (or boat) back. Bonus points if you are able to identify any sharks in the water and develop ideas that can also deal with competitors!

Speed Boat #gamestorming #problem solving #action Speedboat is a short and sweet way to identify what your employees or clients don’t like about your product/service or what’s standing in the way of a desired goal.

17. The Journalistic Six

Some of the most effective ways of solving problems is by encouraging teams to be more inclusive and diverse in their thinking.

Based on the six key questions journalism students are taught to answer in articles and news stories, The Journalistic Six helps create teams to see the whole picture. By using who, what, when, where, why, and how to facilitate the conversation and encourage creative thinking, your team can make sure that the problem identification and problem analysis stages of the are covered exhaustively and thoughtfully. Reporter’s notebook and dictaphone optional.

The Journalistic Six – Who What When Where Why How #idea generation #issue analysis #problem solving #online #creative thinking #remote-friendly A questioning method for generating, explaining, investigating ideas.

18. LEGO Challenge

Now for an activity that is a little out of the (toy) box. LEGO Serious Play is a facilitation methodology that can be used to improve creative thinking and problem-solving skills.

The LEGO Challenge includes giving each member of the team an assignment that is hidden from the rest of the group while they create a structure without speaking.

What the LEGO challenge brings to the table is a fun working example of working with stakeholders who might not be on the same page to solve problems. Also, it’s LEGO! Who doesn’t love LEGO!

LEGO Challenge #hyperisland #team A team-building activity in which groups must work together to build a structure out of LEGO, but each individual has a secret “assignment” which makes the collaborative process more challenging. It emphasizes group communication, leadership dynamics, conflict, cooperation, patience and problem solving strategy.

19. What, So What, Now What?

If not carefully managed, the problem identification and problem analysis stages of the problem-solving process can actually create more problems and misunderstandings.

The What, So What, Now What? problem-solving activity is designed to help collect insights and move forward while also eliminating the possibility of disagreement when it comes to identifying, clarifying, and analyzing organizational or work problems.

Facilitation is all about bringing groups together so that might work on a shared goal and the best problem-solving strategies ensure that teams are aligned in purpose, if not initially in opinion or insight.

Throughout the three steps of this game, you give everyone on a team to reflect on a problem by asking what happened, why it is important, and what actions should then be taken.

This can be a great activity for bringing our individual perceptions about a problem or challenge and contextualizing it in a larger group setting. This is one of the most important problem-solving skills you can bring to your organization.

W³ – What, So What, Now What? #issue analysis #innovation #liberating structures You can help groups reflect on a shared experience in a way that builds understanding and spurs coordinated action while avoiding unproductive conflict. It is possible for every voice to be heard while simultaneously sifting for insights and shaping new direction. Progressing in stages makes this practical—from collecting facts about What Happened to making sense of these facts with So What and finally to what actions logically follow with Now What . The shared progression eliminates most of the misunderstandings that otherwise fuel disagreements about what to do. Voila!

20. Journalists

Problem analysis can be one of the most important and decisive stages of all problem-solving tools. Sometimes, a team can become bogged down in the details and are unable to move forward.

Journalists is an activity that can avoid a group from getting stuck in the problem identification or problem analysis stages of the process.

In Journalists, the group is invited to draft the front page of a fictional newspaper and figure out what stories deserve to be on the cover and what headlines those stories will have. By reframing how your problems and challenges are approached, you can help a team move productively through the process and be better prepared for the steps to follow.

Journalists #vision #big picture #issue analysis #remote-friendly This is an exercise to use when the group gets stuck in details and struggles to see the big picture. Also good for defining a vision.

Problem-solving techniques for developing solutions

The success of any problem-solving process can be measured by the solutions it produces. After you’ve defined the issue, explored existing ideas, and ideated, it’s time to narrow down to the correct solution.

Use these problem-solving techniques when you want to help your team find consensus, compare possible solutions, and move towards taking action on a particular problem.

Improved Solutions
Four-Step Sketch
15% Solutions
How-Now-Wow matrix
Impact Effort Matrix

21. Mindspin

Brainstorming is part of the bread and butter of the problem-solving process and all problem-solving strategies benefit from getting ideas out and challenging a team to generate solutions quickly.

With Mindspin, participants are encouraged not only to generate ideas but to do so under time constraints and by slamming down cards and passing them on. By doing multiple rounds, your team can begin with a free generation of possible solutions before moving on to developing those solutions and encouraging further ideation.

This is one of our favorite problem-solving activities and can be great for keeping the energy up throughout the workshop. Remember the importance of helping people become engaged in the process – energizing problem-solving techniques like Mindspin can help ensure your team stays engaged and happy, even when the problems they’re coming together to solve are complex.

MindSpin #teampedia #idea generation #problem solving #action A fast and loud method to enhance brainstorming within a team. Since this activity has more than round ideas that are repetitive can be ruled out leaving more creative and innovative answers to the challenge.

22. Improved Solutions

After a team has successfully identified a problem and come up with a few solutions, it can be tempting to call the work of the problem-solving process complete. That said, the first solution is not necessarily the best, and by including a further review and reflection activity into your problem-solving model, you can ensure your group reaches the best possible result.

One of a number of problem-solving games from Thiagi Group, Improved Solutions helps you go the extra mile and develop suggested solutions with close consideration and peer review. By supporting the discussion of several problems at once and by shifting team roles throughout, this problem-solving technique is a dynamic way of finding the best solution.

Improved Solutions #creativity #thiagi #problem solving #action #team You can improve any solution by objectively reviewing its strengths and weaknesses and making suitable adjustments. In this creativity framegame, you improve the solutions to several problems. To maintain objective detachment, you deal with a different problem during each of six rounds and assume different roles (problem owner, consultant, basher, booster, enhancer, and evaluator) during each round. At the conclusion of the activity, each player ends up with two solutions to her problem.

23. Four Step Sketch

Creative thinking and visual ideation does not need to be confined to the opening stages of your problem-solving strategies. Exercises that include sketching and prototyping on paper can be effective at the solution finding and development stage of the process, and can be great for keeping a team engaged.

By going from simple notes to a crazy 8s round that involves rapidly sketching 8 variations on their ideas before then producing a final solution sketch, the group is able to iterate quickly and visually. Problem-solving techniques like Four-Step Sketch are great if you have a group of different thinkers and want to change things up from a more textual or discussion-based approach.

Four-Step Sketch #design sprint #innovation #idea generation #remote-friendly The four-step sketch is an exercise that helps people to create well-formed concepts through a structured process that includes: Review key information Start design work on paper, Consider multiple variations , Create a detailed solution . This exercise is preceded by a set of other activities allowing the group to clarify the challenge they want to solve. See how the Four Step Sketch exercise fits into a Design Sprint

24. 15% Solutions

Some problems are simpler than others and with the right problem-solving activities, you can empower people to take immediate actions that can help create organizational change.

Part of the liberating structures toolkit, 15% solutions is a problem-solving technique that focuses on finding and implementing solutions quickly. A process of iterating and making small changes quickly can help generate momentum and an appetite for solving complex problems.

Problem-solving strategies can live and die on whether people are onboard. Getting some quick wins is a great way of getting people behind the process.

It can be extremely empowering for a team to realize that problem-solving techniques can be deployed quickly and easily and delineate between things they can positively impact and those things they cannot change.

15% Solutions #action #liberating structures #remote-friendly You can reveal the actions, however small, that everyone can do immediately. At a minimum, these will create momentum, and that may make a BIG difference. 15% Solutions show that there is no reason to wait around, feel powerless, or fearful. They help people pick it up a level. They get individuals and the group to focus on what is within their discretion instead of what they cannot change. With a very simple question, you can flip the conversation to what can be done and find solutions to big problems that are often distributed widely in places not known in advance. Shifting a few grains of sand may trigger a landslide and change the whole landscape.

25. How-Now-Wow Matrix

The problem-solving process is often creative, as complex problems usually require a change of thinking and creative response in order to find the best solutions. While it’s common for the first stages to encourage creative thinking, groups can often gravitate to familiar solutions when it comes to the end of the process.

When selecting solutions, you don’t want to lose your creative energy! The How-Now-Wow Matrix from Gamestorming is a great problem-solving activity that enables a group to stay creative and think out of the box when it comes to selecting the right solution for a given problem.

Problem-solving techniques that encourage creative thinking and the ideation and selection of new solutions can be the most effective in organisational change. Give the How-Now-Wow Matrix a go, and not just for how pleasant it is to say out loud.

How-Now-Wow Matrix #gamestorming #idea generation #remote-friendly When people want to develop new ideas, they most often think out of the box in the brainstorming or divergent phase. However, when it comes to convergence, people often end up picking ideas that are most familiar to them. This is called a ‘creative paradox’ or a ‘creadox’. The How-Now-Wow matrix is an idea selection tool that breaks the creadox by forcing people to weigh each idea on 2 parameters.

26. Impact and Effort Matrix

All problem-solving techniques hope to not only find solutions to a given problem or challenge but to find the best solution. When it comes to finding a solution, groups are invited to put on their decision-making hats and really think about how a proposed idea would work in practice.

The Impact and Effort Matrix is one of the problem-solving techniques that fall into this camp, empowering participants to first generate ideas and then categorize them into a 2×2 matrix based on impact and effort.

Activities that invite critical thinking while remaining simple are invaluable. Use the Impact and Effort Matrix to move from ideation and towards evaluating potential solutions before then committing to them.

Impact and Effort Matrix #gamestorming #decision making #action #remote-friendly In this decision-making exercise, possible actions are mapped based on two factors: effort required to implement and potential impact. Categorizing ideas along these lines is a useful technique in decision making, as it obliges contributors to balance and evaluate suggested actions before committing to them.

27. Dotmocracy

If you’ve followed each of the problem-solving steps with your group successfully, you should move towards the end of your process with heaps of possible solutions developed with a specific problem in mind. But how do you help a group go from ideation to putting a solution into action?

Dotmocracy – or Dot Voting -is a tried and tested method of helping a team in the problem-solving process make decisions and put actions in place with a degree of oversight and consensus.

One of the problem-solving techniques that should be in every facilitator’s toolbox, Dot Voting is fast and effective and can help identify the most popular and best solutions and help bring a group to a decision effectively.

Dotmocracy #action #decision making #group prioritization #hyperisland #remote-friendly Dotmocracy is a simple method for group prioritization or decision-making. It is not an activity on its own, but a method to use in processes where prioritization or decision-making is the aim. The method supports a group to quickly see which options are most popular or relevant. The options or ideas are written on post-its and stuck up on a wall for the whole group to see. Each person votes for the options they think are the strongest, and that information is used to inform a decision.

All facilitators know that warm-ups and icebreakers are useful for any workshop or group process. Problem-solving workshops are no different.

Use these problem-solving techniques to warm up a group and prepare them for the rest of the process. Activating your group by tapping into some of the top problem-solving skills can be one of the best ways to see great outcomes from your session.

Check-in/Check-out
Doodling Together
Show and Tell
Constellations
Draw a Tree

28. Check-in / Check-out

Solid processes are planned from beginning to end, and the best facilitators know that setting the tone and establishing a safe, open environment can be integral to a successful problem-solving process.

Check-in / Check-out is a great way to begin and/or bookend a problem-solving workshop. Checking in to a session emphasizes that everyone will be seen, heard, and expected to contribute.

If you are running a series of meetings, setting a consistent pattern of checking in and checking out can really help your team get into a groove. We recommend this opening-closing activity for small to medium-sized groups though it can work with large groups if they’re disciplined!

Check-in / Check-out #team #opening #closing #hyperisland #remote-friendly Either checking-in or checking-out is a simple way for a team to open or close a process, symbolically and in a collaborative way. Checking-in/out invites each member in a group to be present, seen and heard, and to express a reflection or a feeling. Checking-in emphasizes presence, focus and group commitment; checking-out emphasizes reflection and symbolic closure.

29. Doodling Together

Thinking creatively and not being afraid to make suggestions are important problem-solving skills for any group or team, and warming up by encouraging these behaviors is a great way to start.

Doodling Together is one of our favorite creative ice breaker games – it’s quick, effective, and fun and can make all following problem-solving steps easier by encouraging a group to collaborate visually. By passing cards and adding additional items as they go, the workshop group gets into a groove of co-creation and idea development that is crucial to finding solutions to problems.

Doodling Together #collaboration #creativity #teamwork #fun #team #visual methods #energiser #icebreaker #remote-friendly Create wild, weird and often funny postcards together & establish a group’s creative confidence.

30. Show and Tell

You might remember some version of Show and Tell from being a kid in school and it’s a great problem-solving activity to kick off a session.

Asking participants to prepare a little something before a workshop by bringing an object for show and tell can help them warm up before the session has even begun! Games that include a physical object can also help encourage early engagement before moving onto more big-picture thinking.

By asking your participants to tell stories about why they chose to bring a particular item to the group, you can help teams see things from new perspectives and see both differences and similarities in the way they approach a topic. Great groundwork for approaching a problem-solving process as a team!

Show and Tell #gamestorming #action #opening #meeting facilitation Show and Tell taps into the power of metaphors to reveal players’ underlying assumptions and associations around a topic The aim of the game is to get a deeper understanding of stakeholders’ perspectives on anything—a new project, an organizational restructuring, a shift in the company’s vision or team dynamic.

31. Constellations

Who doesn’t love stars? Constellations is a great warm-up activity for any workshop as it gets people up off their feet, energized, and ready to engage in new ways with established topics. It’s also great for showing existing beliefs, biases, and patterns that can come into play as part of your session.

Using warm-up games that help build trust and connection while also allowing for non-verbal responses can be great for easing people into the problem-solving process and encouraging engagement from everyone in the group. Constellations is great in large spaces that allow for movement and is definitely a practical exercise to allow the group to see patterns that are otherwise invisible.

Constellations #trust #connection #opening #coaching #patterns #system Individuals express their response to a statement or idea by standing closer or further from a central object. Used with teams to reveal system, hidden patterns, perspectives.

32. Draw a Tree

Problem-solving games that help raise group awareness through a central, unifying metaphor can be effective ways to warm-up a group in any problem-solving model.

Draw a Tree is a simple warm-up activity you can use in any group and which can provide a quick jolt of energy. Start by asking your participants to draw a tree in just 45 seconds – they can choose whether it will be abstract or realistic.

Once the timer is up, ask the group how many people included the roots of the tree and use this as a means to discuss how we can ignore important parts of any system simply because they are not visible.

All problem-solving strategies are made more effective by thinking of problems critically and by exposing things that may not normally come to light. Warm-up games like Draw a Tree are great in that they quickly demonstrate some key problem-solving skills in an accessible and effective way.

Draw a Tree #thiagi #opening #perspectives #remote-friendly With this game you can raise awarness about being more mindful, and aware of the environment we live in.

Each step of the problem-solving workshop benefits from an intelligent deployment of activities, games, and techniques. Bringing your session to an effective close helps ensure that solutions are followed through on and that you also celebrate what has been achieved.

Here are some problem-solving activities you can use to effectively close a workshop or meeting and ensure the great work you’ve done can continue afterward.

One Breath Feedback
Who What When Matrix
Response Cards

How do I conclude a problem-solving process?

All good things must come to an end. With the bulk of the work done, it can be tempting to conclude your workshop swiftly and without a moment to debrief and align. This can be problematic in that it doesn’t allow your team to fully process the results or reflect on the process.

At the end of an effective session, your team will have gone through a process that, while productive, can be exhausting. It’s important to give your group a moment to take a breath, ensure that they are clear on future actions, and provide short feedback before leaving the space.

The primary purpose of any problem-solving method is to generate solutions and then implement them. Be sure to take the opportunity to ensure everyone is aligned and ready to effectively implement the solutions you produced in the workshop.

Remember that every process can be improved and by giving a short moment to collect feedback in the session, you can further refine your problem-solving methods and see further success in the future too.

33. One Breath Feedback

Maintaining attention and focus during the closing stages of a problem-solving workshop can be tricky and so being concise when giving feedback can be important. It’s easy to incur “death by feedback” should some team members go on for too long sharing their perspectives in a quick feedback round.

One Breath Feedback is a great closing activity for workshops. You give everyone an opportunity to provide feedback on what they’ve done but only in the space of a single breath. This keeps feedback short and to the point and means that everyone is encouraged to provide the most important piece of feedback to them.

One breath feedback #closing #feedback #action This is a feedback round in just one breath that excels in maintaining attention: each participants is able to speak during just one breath … for most people that’s around 20 to 25 seconds … unless of course you’ve been a deep sea diver in which case you’ll be able to do it for longer.

34. Who What When Matrix

Matrices feature as part of many effective problem-solving strategies and with good reason. They are easily recognizable, simple to use, and generate results.

The Who What When Matrix is a great tool to use when closing your problem-solving session by attributing a who, what and when to the actions and solutions you have decided upon. The resulting matrix is a simple, easy-to-follow way of ensuring your team can move forward.

Great solutions can’t be enacted without action and ownership. Your problem-solving process should include a stage for allocating tasks to individuals or teams and creating a realistic timeframe for those solutions to be implemented or checked out. Use this method to keep the solution implementation process clear and simple for all involved.

Who/What/When Matrix #gamestorming #action #project planning With Who/What/When matrix, you can connect people with clear actions they have defined and have committed to.

35. Response cards

Group discussion can comprise the bulk of most problem-solving activities and by the end of the process, you might find that your team is talked out!

Providing a means for your team to give feedback with short written notes can ensure everyone is head and can contribute without the need to stand up and talk. Depending on the needs of the group, giving an alternative can help ensure everyone can contribute to your problem-solving model in the way that makes the most sense for them.

Response Cards is a great way to close a workshop if you are looking for a gentle warm-down and want to get some swift discussion around some of the feedback that is raised.

Response Cards #debriefing #closing #structured sharing #questions and answers #thiagi #action It can be hard to involve everyone during a closing of a session. Some might stay in the background or get unheard because of louder participants. However, with the use of Response Cards, everyone will be involved in providing feedback or clarify questions at the end of a session.

Save time and effort discovering the right solutions

A structured problem solving process is a surefire way of solving tough problems, discovering creative solutions and driving organizational change. But how can you design for successful outcomes?

With SessionLab, it’s easy to design engaging workshops that deliver results. Drag, drop and reorder blocks to build your agenda. When you make changes or update your agenda, your session timing adjusts automatically , saving you time on manual adjustments.

Collaborating with stakeholders or clients? Share your agenda with a single click and collaborate in real-time. No more sending documents back and forth over email.

Explore how to use SessionLab to design effective problem solving workshops or watch this five minute video to see the planner in action!

Over to you

The problem-solving process can often be as complicated and multifaceted as the problems they are set-up to solve. With the right problem-solving techniques and a mix of creative exercises designed to guide discussion and generate purposeful ideas, we hope we’ve given you the tools to find the best solutions as simply and easily as possible.

Is there a problem-solving technique that you are missing here? Do you have a favorite activity or method you use when facilitating? Let us know in the comments below, we’d love to hear from you!

thank you very much for these excellent techniques

Certainly wonderful article, very detailed. Shared!

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What is Problem Solving? (Steps, Techniques, Examples)

By Status.net Editorial Team on May 7, 2023 — 5 minutes to read

What Is Problem Solving?

Definition and importance.

Problem solving is the process of finding solutions to obstacles or challenges you encounter in your life or work. It is a crucial skill that allows you to tackle complex situations, adapt to changes, and overcome difficulties with ease. Mastering this ability will contribute to both your personal and professional growth, leading to more successful outcomes and better decision-making.

Problem-Solving Steps

The problem-solving process typically includes the following steps:

Identify the issue : Recognize the problem that needs to be solved.
Analyze the situation : Examine the issue in depth, gather all relevant information, and consider any limitations or constraints that may be present.
Generate potential solutions : Brainstorm a list of possible solutions to the issue, without immediately judging or evaluating them.
Evaluate options : Weigh the pros and cons of each potential solution, considering factors such as feasibility, effectiveness, and potential risks.
Select the best solution : Choose the option that best addresses the problem and aligns with your objectives.
Implement the solution : Put the selected solution into action and monitor the results to ensure it resolves the issue.
Review and learn : Reflect on the problem-solving process, identify any improvements or adjustments that can be made, and apply these learnings to future situations.

Defining the Problem

To start tackling a problem, first, identify and understand it. Analyzing the issue thoroughly helps to clarify its scope and nature. Ask questions to gather information and consider the problem from various angles. Some strategies to define the problem include:

Brainstorming with others
Asking the 5 Ws and 1 H (Who, What, When, Where, Why, and How)
Analyzing cause and effect
Creating a problem statement

Generating Solutions

Once the problem is clearly understood, brainstorm possible solutions. Think creatively and keep an open mind, as well as considering lessons from past experiences. Consider:

Creating a list of potential ideas to solve the problem
Grouping and categorizing similar solutions
Prioritizing potential solutions based on feasibility, cost, and resources required
Involving others to share diverse opinions and inputs

Evaluating and Selecting Solutions

Evaluate each potential solution, weighing its pros and cons. To facilitate decision-making, use techniques such as:

SWOT analysis (Strengths, Weaknesses, Opportunities, Threats)
Decision-making matrices
Pros and cons lists
Risk assessments

After evaluating, choose the most suitable solution based on effectiveness, cost, and time constraints.

Implementing and Monitoring the Solution

Implement the chosen solution and monitor its progress. Key actions include:

Communicating the solution to relevant parties
Setting timelines and milestones
Assigning tasks and responsibilities
Monitoring the solution and making adjustments as necessary
Evaluating the effectiveness of the solution after implementation

Utilize feedback from stakeholders and consider potential improvements. Remember that problem-solving is an ongoing process that can always be refined and enhanced.

Problem-Solving Techniques

During each step, you may find it helpful to utilize various problem-solving techniques, such as:

Brainstorming : A free-flowing, open-minded session where ideas are generated and listed without judgment, to encourage creativity and innovative thinking.
Root cause analysis : A method that explores the underlying causes of a problem to find the most effective solution rather than addressing superficial symptoms.
SWOT analysis : A tool used to evaluate the strengths, weaknesses, opportunities, and threats related to a problem or decision, providing a comprehensive view of the situation.
Mind mapping : A visual technique that uses diagrams to organize and connect ideas, helping to identify patterns, relationships, and possible solutions.

Brainstorming

When facing a problem, start by conducting a brainstorming session. Gather your team and encourage an open discussion where everyone contributes ideas, no matter how outlandish they may seem. This helps you:

Generate a diverse range of solutions
Encourage all team members to participate
Foster creative thinking

When brainstorming, remember to:

Reserve judgment until the session is over
Encourage wild ideas
Combine and improve upon ideas

Root Cause Analysis

For effective problem-solving, identifying the root cause of the issue at hand is crucial. Try these methods:

5 Whys : Ask “why” five times to get to the underlying cause.
Fishbone Diagram : Create a diagram representing the problem and break it down into categories of potential causes.
Pareto Analysis : Determine the few most significant causes underlying the majority of problems.

SWOT Analysis

SWOT analysis helps you examine the Strengths, Weaknesses, Opportunities, and Threats related to your problem. To perform a SWOT analysis:

List your problem’s strengths, such as relevant resources or strong partnerships.
Identify its weaknesses, such as knowledge gaps or limited resources.
Explore opportunities, like trends or new technologies, that could help solve the problem.
Recognize potential threats, like competition or regulatory barriers.

SWOT analysis aids in understanding the internal and external factors affecting the problem, which can help guide your solution.

Mind Mapping

A mind map is a visual representation of your problem and potential solutions. It enables you to organize information in a structured and intuitive manner. To create a mind map:

Write the problem in the center of a blank page.
Draw branches from the central problem to related sub-problems or contributing factors.
Add more branches to represent potential solutions or further ideas.

Mind mapping allows you to visually see connections between ideas and promotes creativity in problem-solving.

Examples of Problem Solving in Various Contexts

In the business world, you might encounter problems related to finances, operations, or communication. Applying problem-solving skills in these situations could look like:

Identifying areas of improvement in your company’s financial performance and implementing cost-saving measures
Resolving internal conflicts among team members by listening and understanding different perspectives, then proposing and negotiating solutions
Streamlining a process for better productivity by removing redundancies, automating tasks, or re-allocating resources

In educational contexts, problem-solving can be seen in various aspects, such as:

Addressing a gap in students’ understanding by employing diverse teaching methods to cater to different learning styles
Developing a strategy for successful time management to balance academic responsibilities and extracurricular activities
Seeking resources and support to provide equal opportunities for learners with special needs or disabilities

Everyday life is full of challenges that require problem-solving skills. Some examples include:

Overcoming a personal obstacle, such as improving your fitness level, by establishing achievable goals, measuring progress, and adjusting your approach accordingly
Navigating a new environment or city by researching your surroundings, asking for directions, or using technology like GPS to guide you
Dealing with a sudden change, like a change in your work schedule, by assessing the situation, identifying potential impacts, and adapting your plans to accommodate the change.
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5 Effective Problem-Solving Strategies

Got a problem you’re trying to solve? Strategies like trial and error, gut instincts, and “working backward” can help. We look at some examples and how to use them.

We all face problems daily. Some are simple, like deciding what to eat for dinner. Others are more complex, like resolving a conflict with a loved one or figuring out how to overcome barriers to your goals.

No matter what problem you’re facing, these five problem-solving strategies can help you develop an effective solution.

An infographic showing five effective problem-solving strategies

What are problem-solving strategies?

To effectively solve a problem, you need a problem-solving strategy .

If you’ve had to make a hard decision before then you know that simply ruminating on the problem isn’t likely to get you anywhere. You need an effective strategy — or a plan of action — to find a solution.

In general, effective problem-solving strategies include the following steps:

Define the problem.
Come up with alternative solutions.
Decide on a solution.
Implement the solution.

Problem-solving strategies don’t guarantee a solution, but they do help guide you through the process of finding a resolution.

Using problem-solving strategies also has other benefits . For example, having a strategy you can turn to can help you overcome anxiety and distress when you’re first faced with a problem or difficult decision.

The key is to find a problem-solving strategy that works for your specific situation, as well as your personality. One strategy may work well for one type of problem but not another. In addition, some people may prefer certain strategies over others; for example, creative people may prefer to depend on their insights than use algorithms.

It’s important to be equipped with several problem-solving strategies so you use the one that’s most effective for your current situation.

1. Trial and error

One of the most common problem-solving strategies is trial and error. In other words, you try different solutions until you find one that works.

For example, say the problem is that your Wi-Fi isn’t working. You might try different things until it starts working again, like restarting your modem or your devices until you find or resolve the problem. When one solution isn’t successful, you try another until you find what works.

Trial and error can also work for interpersonal problems . For example, if your child always stays up past their bedtime, you might try different solutions — a visual clock to remind them of the time, a reward system, or gentle punishments — to find a solution that works.

2. Heuristics

Sometimes, it’s more effective to solve a problem based on a formula than to try different solutions blindly.

Heuristics are problem-solving strategies or frameworks people use to quickly find an approximate solution. It may not be the optimal solution, but it’s faster than finding the perfect resolution, and it’s “good enough.”

Algorithms or equations are examples of heuristics.

An algorithm is a step-by-step problem-solving strategy based on a formula guaranteed to give you positive results. For example, you might use an algorithm to determine how much food is needed to feed people at a large party.

However, many life problems have no formulaic solution; for example, you may not be able to come up with an algorithm to solve the problem of making amends with your spouse after a fight.

3. Gut instincts (insight problem-solving)

While algorithm-based problem-solving is formulaic, insight problem-solving is the opposite.

When we use insight as a problem-solving strategy we depend on our “gut instincts” or what we know and feel about a situation to come up with a solution. People might describe insight-based solutions to problems as an “aha moment.”

For example, you might face the problem of whether or not to stay in a relationship. The solution to this problem may come as a sudden insight that you need to leave. In insight problem-solving, the cognitive processes that help you solve a problem happen outside your conscious awareness.

4. Working backward

Working backward is a problem-solving approach often taught to help students solve problems in mathematics. However, it’s useful for real-world problems as well.

Working backward is when you start with the solution and “work backward” to figure out how you got to the solution. For example, if you know you need to be at a party by 8 p.m., you might work backward to problem-solve when you must leave the house, when you need to start getting ready, and so on.

5. Means-end analysis

Means-end analysis is a problem-solving strategy that, to put it simply, helps you get from “point A” to “point B” by examining and coming up with solutions to obstacles.

When using means-end analysis you define the current state or situation (where you are now) and the intended goal. Then, you come up with solutions to get from where you are now to where you need to be.

For example, a student might be faced with the problem of how to successfully get through finals season . They haven’t started studying, but their end goal is to pass all of their finals. Using means-end analysis, the student can examine the obstacles that stand between their current state and their end goal (passing their finals).

They could see, for example, that one obstacle is that they get distracted from studying by their friends. They could devise a solution to this obstacle by putting their phone on “do not disturb” mode while studying.

Let’s recap

Whether they’re simple or complex, we’re faced with problems every day. To successfully solve these problems we need an effective strategy. There are many different problem-solving strategies to choose from.

Although problem-solving strategies don’t guarantee a solution, they can help you feel less anxious about problems and make it more likely that you come up with an answer.

Last medically reviewed on November 1, 2022

8 sources collapsed

Chu Y, et al. (2011). Human performance on insight problem-solving: A review. https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1094&context=jps
Dumper K, et al. (n.d.) Chapter 7.3: Problem-solving in introductory psychology. https://opentext.wsu.edu/psych105/chapter/7-4-problem-solving/
Foulds LR. (2017). The heuristic problem-solving approach. https://www.tandfonline.com/doi/abs/10.1057/jors.1983.205
Gick ML. (1986). Problem-solving strategies. https://www.tandfonline.com/doi/abs/10.1080/00461520.1986.9653026
Montgomery ME. (2015). Problem solving using means-end analysis. https://sites.psu.edu/psych256sp15/2015/04/19/problem-solving-using-means-end-analysis/
Posamentier A, et al. (2015). Problem-solving strategies in mathematics. Chapter 3: Working backwards. https://www.worldscientific.com/doi/10.1142/9789814651646_0003
Sarathy V. (2018). Real world problem-solving. https://www.frontiersin.org/articles/10.3389/fnhum.2018.00261/full
Woods D. (2000). An evidence-based strategy for problem solving. https://www.researchgate.net/publication/245332888_An_Evidence-Based_Strategy_for_Problem_Solving

10 Problem-solving strategies to turn challenges on their head

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What is an example of problem-solving?

What are the 5 steps to problem-solving, 10 effective problem-solving strategies, what skills do efficient problem solvers have, how to improve your problem-solving skills.

Problems come in all shapes and sizes — from workplace conflict to budget cuts.

Creative problem-solving is one of the most in-demand skills in all roles and industries. It can boost an organization’s human capital and give it a competitive edge.

Problem-solving strategies are ways of approaching problems that can help you look beyond the obvious answers and find the best solution to your problem .

Let’s take a look at a five-step problem-solving process and how to combine it with proven problem-solving strategies. This will give you the tools and skills to solve even your most complex problems.

Good problem-solving is an essential part of the decision-making process . To see what a problem-solving process might look like in real life, let’s take a common problem for SaaS brands — decreasing customer churn rates.

To solve this problem, the company must first identify it. In this case, the problem is that the churn rate is too high.

Next, they need to identify the root causes of the problem. This could be anything from their customer service experience to their email marketing campaigns. If there are several problems, they will need a separate problem-solving process for each one.

Let’s say the problem is with email marketing — they’re not nurturing existing customers. Now that they’ve identified the problem, they can start using problem-solving strategies to look for solutions.

This might look like coming up with special offers, discounts, or bonuses for existing customers. They need to find ways to remind them to use their products and services while providing added value. This will encourage customers to keep paying their monthly subscriptions.

They might also want to add incentives, such as access to a premium service at no extra cost after 12 months of membership. They could publish blog posts that help their customers solve common problems and share them as an email newsletter.

The company should set targets and a time frame in which to achieve them. This will allow leaders to measure progress and identify which actions yield the best results.

Perhaps you’ve got a problem you need to tackle. Or maybe you want to be prepared the next time one arises. Either way, it’s a good idea to get familiar with the five steps of problem-solving.

Use this step-by-step problem-solving method with the strategies in the following section to find possible solutions to your problem.

1. Identify the problem

The first step is to know which problem you need to solve. Then, you need to find the root cause of the problem.

The best course of action is to gather as much data as possible, speak to the people involved, and separate facts from opinions.

Once this is done, formulate a statement that describes the problem. Use rational persuasion to make sure your team agrees .

2. Break the problem down

Identifying the problem allows you to see which steps need to be taken to solve it.

First, break the problem down into achievable blocks. Then, use strategic planning to set a time frame in which to solve the problem and establish a timeline for the completion of each stage.

3. Generate potential solutions

At this stage, the aim isn’t to evaluate possible solutions but to generate as many ideas as possible.

Encourage your team to use creative thinking and be patient — the best solution may not be the first or most obvious one.

Use one or more of the different strategies in the following section to help come up with solutions — the more creative, the better.

4. Evaluate the possible solutions

Once you’ve generated potential solutions, narrow them down to a shortlist. Then, evaluate the options on your shortlist.

There are usually many factors to consider. So when evaluating a solution, ask yourself the following questions:

Will my team be on board with the proposition?
Does the solution align with organizational goals ?
Is the solution likely to achieve the desired outcomes?
Is the solution realistic and possible with current resources and constraints?
Will the solution solve the problem without causing additional unintended problems?

woman-helping-her-colleague-problem-solving-strategies

5. Implement and monitor the solutions

Once you’ve identified your solution and got buy-in from your team, it’s time to implement it.

But the work doesn’t stop there. You need to monitor your solution to see whether it actually solves your problem.

Request regular feedback from the team members involved and have a monitoring and evaluation plan in place to measure progress.

If the solution doesn’t achieve your desired results, start this step-by-step process again.

There are many different ways to approach problem-solving. Each is suitable for different types of problems.

The most appropriate problem-solving techniques will depend on your specific problem. You may need to experiment with several strategies before you find a workable solution.

Here are 10 effective problem-solving strategies for you to try:

Use a solution that worked before
Brainstorming
Work backward
Use the Kipling method
Draw the problem
Use trial and error
Sleep on it
Get advice from your peers
Use the Pareto principle
Add successful solutions to your toolkit

Let’s break each of these down.

1. Use a solution that worked before

It might seem obvious, but if you’ve faced similar problems in the past, look back to what worked then. See if any of the solutions could apply to your current situation and, if so, replicate them.

2. Brainstorming

The more people you enlist to help solve the problem, the more potential solutions you can come up with.

Use different brainstorming techniques to workshop potential solutions with your team. They’ll likely bring something you haven’t thought of to the table.

3. Work backward

Working backward is a way to reverse engineer your problem. Imagine your problem has been solved, and make that the starting point.

Then, retrace your steps back to where you are now. This can help you see which course of action may be most effective.

4. Use the Kipling method

This is a method that poses six questions based on Rudyard Kipling’s poem, “ I Keep Six Honest Serving Men .”

What is the problem?
Why is the problem important?
When did the problem arise, and when does it need to be solved?
How did the problem happen?
Where is the problem occurring?
Who does the problem affect?

Answering these questions can help you identify possible solutions.

5. Draw the problem

Sometimes it can be difficult to visualize all the components and moving parts of a problem and its solution. Drawing a diagram can help.

This technique is particularly helpful for solving process-related problems. For example, a product development team might want to decrease the time they take to fix bugs and create new iterations. Drawing the processes involved can help you see where improvements can be made.

woman-drawing-mind-map-problem-solving-strategies

6. Use trial-and-error

A trial-and-error approach can be useful when you have several possible solutions and want to test them to see which one works best.

7. Sleep on it

Finding the best solution to a problem is a process. Remember to take breaks and get enough rest . Sometimes, a walk around the block can bring inspiration, but you should sleep on it if possible.

A good night’s sleep helps us find creative solutions to problems. This is because when you sleep, your brain sorts through the day’s events and stores them as memories. This enables you to process your ideas at a subconscious level.

If possible, give yourself a few days to develop and analyze possible solutions. You may find you have greater clarity after sleeping on it. Your mind will also be fresh, so you’ll be able to make better decisions.

8. Get advice from your peers

Getting input from a group of people can help you find solutions you may not have thought of on your own.

For solo entrepreneurs or freelancers, this might look like hiring a coach or mentor or joining a mastermind group.

For leaders , it might be consulting other members of the leadership team or working with a business coach .

It’s important to recognize you might not have all the skills, experience, or knowledge necessary to find a solution alone.

9. Use the Pareto principle

The Pareto principle — also known as the 80/20 rule — can help you identify possible root causes and potential solutions for your problems.

Although it’s not a mathematical law, it’s a principle found throughout many aspects of business and life. For example, 20% of the sales reps in a company might close 80% of the sales.

You may be able to narrow down the causes of your problem by applying the Pareto principle. This can also help you identify the most appropriate solutions.

10. Add successful solutions to your toolkit

Every situation is different, and the same solutions might not always work. But by keeping a record of successful problem-solving strategies, you can build up a solutions toolkit.

These solutions may be applicable to future problems. Even if not, they may save you some of the time and work needed to come up with a new solution.

three-colleagues-looking-at-computer-problem-solving-strategies

Improving problem-solving skills is essential for professional development — both yours and your team’s. Here are some of the key skills of effective problem solvers:

Critical thinking and analytical skills
Communication skills , including active listening
Decision-making
Planning and prioritization
Emotional intelligence , including empathy and emotional regulation
Time management
Data analysis
Research skills
Project management

And they see problems as opportunities. Everyone is born with problem-solving skills. But accessing these abilities depends on how we view problems. Effective problem-solvers see problems as opportunities to learn and improve.

Ready to work on your problem-solving abilities? Get started with these seven tips.

1. Build your problem-solving skills

One of the best ways to improve your problem-solving skills is to learn from experts. Consider enrolling in organizational training , shadowing a mentor , or working with a coach .

2. Practice

Practice using your new problem-solving skills by applying them to smaller problems you might encounter in your daily life.

Alternatively, imagine problematic scenarios that might arise at work and use problem-solving strategies to find hypothetical solutions.

3. Don’t try to find a solution right away

Often, the first solution you think of to solve a problem isn’t the most appropriate or effective.

Instead of thinking on the spot, give yourself time and use one or more of the problem-solving strategies above to activate your creative thinking.

two-colleagues-talking-at-corporate-event-problem-solving-strategies

4. Ask for feedback

Receiving feedback is always important for learning and growth. Your perception of your problem-solving skills may be different from that of your colleagues. They can provide insights that help you improve.

5. Learn new approaches and methodologies

There are entire books written about problem-solving methodologies if you want to take a deep dive into the subject.

We recommend starting with “ Fixed — How to Perfect the Fine Art of Problem Solving ” by Amy E. Herman.

6. Experiment

Tried-and-tested problem-solving techniques can be useful. However, they don’t teach you how to innovate and develop your own problem-solving approaches.

Sometimes, an unconventional approach can lead to the development of a brilliant new idea or strategy. So don’t be afraid to suggest your most “out there” ideas.

7. Analyze the success of your competitors

Do you have competitors who have already solved the problem you’re facing? Look at what they did, and work backward to solve your own problem.

For example, Netflix started in the 1990s as a DVD mail-rental company. Its main competitor at the time was Blockbuster.

But when streaming became the norm in the early 2000s, both companies faced a crisis. Netflix innovated, unveiling its streaming service in 2007.

If Blockbuster had followed Netflix’s example, it might have survived. Instead, it declared bankruptcy in 2010.

Use problem-solving strategies to uplevel your business

When facing a problem, it’s worth taking the time to find the right solution.

Otherwise, we risk either running away from our problems or headlong into solutions. When we do this, we might miss out on other, better options.

Use the problem-solving strategies outlined above to find innovative solutions to your business’ most perplexing problems.

If you’re ready to take problem-solving to the next level, request a demo with BetterUp . Our expert coaches specialize in helping teams develop and implement strategies that work.

Elizabeth Perry

Content Marketing Manager, ACC

8 creative solutions to your most challenging problems

5 problem-solving questions to prepare you for your next interview, what are metacognitive skills examples in everyday life, what is lateral thinking 7 techniques to encourage creative ideas, 31 examples of problem solving performance review phrases, learn what process mapping is and how to create one (+ examples), leadership activities that encourage employee engagement, can dreams help you solve problems 6 ways to try, how much do distractions cost 8 effects of lack of focus, similar articles, the pareto principle: how the 80/20 rule can help you do more with less, thinking outside the box: 8 ways to become a creative problem solver, effective problem statements have these 5 components, contingency planning: 4 steps to prepare for the unexpected, learn to sweat the small stuff: how to improve attention to detail, stay connected with betterup, get our newsletter, event invites, plus product insights and research..

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Problem-Solving Strategies and Obstacles

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Sean is a fact-checker and researcher with experience in sociology, field research, and data analytics.

JGI / Jamie Grill / Getty Images

Application
Improvement

From deciding what to eat for dinner to considering whether it's the right time to buy a house, problem-solving is a large part of our daily lives. Learn some of the problem-solving strategies that exist and how to use them in real life, along with ways to overcome obstacles that are making it harder to resolve the issues you face.

What Is Problem-Solving?

In cognitive psychology , the term 'problem-solving' refers to the mental process that people go through to discover, analyze, and solve problems.

A problem exists when there is a goal that we want to achieve but the process by which we will achieve it is not obvious to us. Put another way, there is something that we want to occur in our life, yet we are not immediately certain how to make it happen.

Maybe you want a better relationship with your spouse or another family member but you're not sure how to improve it. Or you want to start a business but are unsure what steps to take. Problem-solving helps you figure out how to achieve these desires.

The problem-solving process involves:

Discovery of the problem
Deciding to tackle the issue
Seeking to understand the problem more fully
Researching available options or solutions
Taking action to resolve the issue

Before problem-solving can occur, it is important to first understand the exact nature of the problem itself. If your understanding of the issue is faulty, your attempts to resolve it will also be incorrect or flawed.

Problem-Solving Mental Processes

Several mental processes are at work during problem-solving. Among them are:

Perceptually recognizing the problem
Representing the problem in memory
Considering relevant information that applies to the problem
Identifying different aspects of the problem
Labeling and describing the problem

Problem-Solving Strategies

There are many ways to go about solving a problem. Some of these strategies might be used on their own, or you may decide to employ multiple approaches when working to figure out and fix a problem.

An algorithm is a step-by-step procedure that, by following certain "rules" produces a solution. Algorithms are commonly used in mathematics to solve division or multiplication problems. But they can be used in other fields as well.

In psychology, algorithms can be used to help identify individuals with a greater risk of mental health issues. For instance, research suggests that certain algorithms might help us recognize children with an elevated risk of suicide or self-harm.

One benefit of algorithms is that they guarantee an accurate answer. However, they aren't always the best approach to problem-solving, in part because detecting patterns can be incredibly time-consuming.

There are also concerns when machine learning is involved—also known as artificial intelligence (AI)—such as whether they can accurately predict human behaviors.

Heuristics are shortcut strategies that people can use to solve a problem at hand. These "rule of thumb" approaches allow you to simplify complex problems, reducing the total number of possible solutions to a more manageable set.

If you find yourself sitting in a traffic jam, for example, you may quickly consider other routes, taking one to get moving once again. When shopping for a new car, you might think back to a prior experience when negotiating got you a lower price, then employ the same tactics.

While heuristics may be helpful when facing smaller issues, major decisions shouldn't necessarily be made using a shortcut approach. Heuristics also don't guarantee an effective solution, such as when trying to drive around a traffic jam only to find yourself on an equally crowded route.

Trial and Error

A trial-and-error approach to problem-solving involves trying a number of potential solutions to a particular issue, then ruling out those that do not work. If you're not sure whether to buy a shirt in blue or green, for instance, you may try on each before deciding which one to purchase.

This can be a good strategy to use if you have a limited number of solutions available. But if there are many different choices available, narrowing down the possible options using another problem-solving technique can be helpful before attempting trial and error.

In some cases, the solution to a problem can appear as a sudden insight. You are facing an issue in a relationship or your career when, out of nowhere, the solution appears in your mind and you know exactly what to do.

Insight can occur when the problem in front of you is similar to an issue that you've dealt with in the past. Although, you may not recognize what is occurring since the underlying mental processes that lead to insight often happen outside of conscious awareness .

Research indicates that insight is most likely to occur during times when you are alone—such as when going on a walk by yourself, when you're in the shower, or when lying in bed after waking up.

How to Apply Problem-Solving Strategies in Real Life

If you're facing a problem, you can implement one or more of these strategies to find a potential solution. Here's how to use them in real life:

Create a flow chart . If you have time, you can take advantage of the algorithm approach to problem-solving by sitting down and making a flow chart of each potential solution, its consequences, and what happens next.
Recall your past experiences . When a problem needs to be solved fairly quickly, heuristics may be a better approach. Think back to when you faced a similar issue, then use your knowledge and experience to choose the best option possible.
Start trying potential solutions . If your options are limited, start trying them one by one to see which solution is best for achieving your desired goal. If a particular solution doesn't work, move on to the next.
Take some time alone . Since insight is often achieved when you're alone, carve out time to be by yourself for a while. The answer to your problem may come to you, seemingly out of the blue, if you spend some time away from others.

Obstacles to Problem-Solving

Problem-solving is not a flawless process as there are a number of obstacles that can interfere with our ability to solve a problem quickly and efficiently. These obstacles include:

Assumptions: When dealing with a problem, people can make assumptions about the constraints and obstacles that prevent certain solutions. Thus, they may not even try some potential options.
Functional fixedness : This term refers to the tendency to view problems only in their customary manner. Functional fixedness prevents people from fully seeing all of the different options that might be available to find a solution.
Irrelevant or misleading information: When trying to solve a problem, it's important to distinguish between information that is relevant to the issue and irrelevant data that can lead to faulty solutions. The more complex the problem, the easier it is to focus on misleading or irrelevant information.
Mental set: A mental set is a tendency to only use solutions that have worked in the past rather than looking for alternative ideas. A mental set can work as a heuristic, making it a useful problem-solving tool. However, mental sets can also lead to inflexibility, making it more difficult to find effective solutions.

How to Improve Your Problem-Solving Skills

In the end, if your goal is to become a better problem-solver, it's helpful to remember that this is a process. Thus, if you want to improve your problem-solving skills, following these steps can help lead you to your solution:

Recognize that a problem exists . If you are facing a problem, there are generally signs. For instance, if you have a mental illness , you may experience excessive fear or sadness, mood changes, and changes in sleeping or eating habits. Recognizing these signs can help you realize that an issue exists.
Decide to solve the problem . Make a conscious decision to solve the issue at hand. Commit to yourself that you will go through the steps necessary to find a solution.
Seek to fully understand the issue . Analyze the problem you face, looking at it from all sides. If your problem is relationship-related, for instance, ask yourself how the other person may be interpreting the issue. You might also consider how your actions might be contributing to the situation.
Research potential options . Using the problem-solving strategies mentioned, research potential solutions. Make a list of options, then consider each one individually. What are some pros and cons of taking the available routes? What would you need to do to make them happen?
Take action . Select the best solution possible and take action. Action is one of the steps required for change . So, go through the motions needed to resolve the issue.
Try another option, if needed . If the solution you chose didn't work, don't give up. Either go through the problem-solving process again or simply try another option.

You can find a way to solve your problems as long as you keep working toward this goal—even if the best solution is simply to let go because no other good solution exists.

Sarathy V. Real world problem-solving . Front Hum Neurosci . 2018;12:261. doi:10.3389/fnhum.2018.00261

Dunbar K. Problem solving . A Companion to Cognitive Science . 2017. doi:10.1002/9781405164535.ch20

Stewart SL, Celebre A, Hirdes JP, Poss JW. Risk of suicide and self-harm in kids: The development of an algorithm to identify high-risk individuals within the children's mental health system . Child Psychiat Human Develop . 2020;51:913-924. doi:10.1007/s10578-020-00968-9

Rosenbusch H, Soldner F, Evans AM, Zeelenberg M. Supervised machine learning methods in psychology: A practical introduction with annotated R code . Soc Personal Psychol Compass . 2021;15(2):e12579. doi:10.1111/spc3.12579

Mishra S. Decision-making under risk: Integrating perspectives from biology, economics, and psychology . Personal Soc Psychol Rev . 2014;18(3):280-307. doi:10.1177/1088868314530517

Csikszentmihalyi M, Sawyer K. Creative insight: The social dimension of a solitary moment . In: The Systems Model of Creativity . 2015:73-98. doi:10.1007/978-94-017-9085-7_7

Chrysikou EG, Motyka K, Nigro C, Yang SI, Thompson-Schill SL. Functional fixedness in creative thinking tasks depends on stimulus modality . Psychol Aesthet Creat Arts . 2016;10(4):425‐435. doi:10.1037/aca0000050

Huang F, Tang S, Hu Z. Unconditional perseveration of the short-term mental set in chunk decomposition . Front Psychol . 2018;9:2568. doi:10.3389/fpsyg.2018.02568

National Alliance on Mental Illness. Warning signs and symptoms .

Mayer RE. Thinking, problem solving, cognition, 2nd ed .

Schooler JW, Ohlsson S, Brooks K. Thoughts beyond words: When language overshadows insight. J Experiment Psychol: General . 1993;122:166-183. doi:10.1037/0096-3445.2.166

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

How to master the seven-step problem-solving process

In this episode of the McKinsey Podcast , Simon London speaks with Charles Conn, CEO of venture-capital firm Oxford Sciences Innovation, and McKinsey senior partner Hugo Sarrazin about the complexities of different problem-solving strategies.

Podcast transcript

Simon London: Hello, and welcome to this episode of the McKinsey Podcast , with me, Simon London. What’s the number-one skill you need to succeed professionally? Salesmanship, perhaps? Or a facility with statistics? Or maybe the ability to communicate crisply and clearly? Many would argue that at the very top of the list comes problem solving: that is, the ability to think through and come up with an optimal course of action to address any complex challenge—in business, in public policy, or indeed in life.

Looked at this way, it’s no surprise that McKinsey takes problem solving very seriously, testing for it during the recruiting process and then honing it, in McKinsey consultants, through immersion in a structured seven-step method. To discuss the art of problem solving, I sat down in California with McKinsey senior partner Hugo Sarrazin and also with Charles Conn. Charles is a former McKinsey partner, entrepreneur, executive, and coauthor of the book Bulletproof Problem Solving: The One Skill That Changes Everything [John Wiley & Sons, 2018].

Charles and Hugo, welcome to the podcast. Thank you for being here.

Hugo Sarrazin: Our pleasure.

Charles Conn: It’s terrific to be here.

Simon London: Problem solving is a really interesting piece of terminology. It could mean so many different things. I have a son who’s a teenage climber. They talk about solving problems. Climbing is problem solving. Charles, when you talk about problem solving, what are you talking about?

Charles Conn: For me, problem solving is the answer to the question “What should I do?” It’s interesting when there’s uncertainty and complexity, and when it’s meaningful because there are consequences. Your son’s climbing is a perfect example. There are consequences, and it’s complicated, and there’s uncertainty—can he make that grab? I think we can apply that same frame almost at any level. You can think about questions like “What town would I like to live in?” or “Should I put solar panels on my roof?”

You might think that’s a funny thing to apply problem solving to, but in my mind it’s not fundamentally different from business problem solving, which answers the question “What should my strategy be?” Or problem solving at the policy level: “How do we combat climate change?” “Should I support the local school bond?” I think these are all part and parcel of the same type of question, “What should I do?”

I’m a big fan of structured problem solving. By following steps, we can more clearly understand what problem it is we’re solving, what are the components of the problem that we’re solving, which components are the most important ones for us to pay attention to, which analytic techniques we should apply to those, and how we can synthesize what we’ve learned back into a compelling story. That’s all it is, at its heart.

I think sometimes when people think about seven steps, they assume that there’s a rigidity to this. That’s not it at all. It’s actually to give you the scope for creativity, which often doesn’t exist when your problem solving is muddled.

Simon London: You were just talking about the seven-step process. That’s what’s written down in the book, but it’s a very McKinsey process as well. Without getting too deep into the weeds, let’s go through the steps, one by one. You were just talking about problem definition as being a particularly important thing to get right first. That’s the first step. Hugo, tell us about that.

Hugo Sarrazin: It is surprising how often people jump past this step and make a bunch of assumptions. The most powerful thing is to step back and ask the basic questions—“What are we trying to solve? What are the constraints that exist? What are the dependencies?” Let’s make those explicit and really push the thinking and defining. At McKinsey, we spend an enormous amount of time in writing that little statement, and the statement, if you’re a logic purist, is great. You debate. “Is it an ‘or’? Is it an ‘and’? What’s the action verb?” Because all these specific words help you get to the heart of what matters.

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Simon London: So this is a concise problem statement.

Hugo Sarrazin: Yeah. It’s not like “Can we grow in Japan?” That’s interesting, but it is “What, specifically, are we trying to uncover in the growth of a product in Japan? Or a segment in Japan? Or a channel in Japan?” When you spend an enormous amount of time, in the first meeting of the different stakeholders, debating this and having different people put forward what they think the problem definition is, you realize that people have completely different views of why they’re here. That, to me, is the most important step.

Charles Conn: I would agree with that. For me, the problem context is critical. When we understand “What are the forces acting upon your decision maker? How quickly is the answer needed? With what precision is the answer needed? Are there areas that are off limits or areas where we would particularly like to find our solution? Is the decision maker open to exploring other areas?” then you not only become more efficient, and move toward what we call the critical path in problem solving, but you also make it so much more likely that you’re not going to waste your time or your decision maker’s time.

How often do especially bright young people run off with half of the idea about what the problem is and start collecting data and start building models—only to discover that they’ve really gone off half-cocked.

Hugo Sarrazin: Yeah.

Charles Conn: And in the wrong direction.

Simon London: OK. So step one—and there is a real art and a structure to it—is define the problem. Step two, Charles?

Charles Conn: My favorite step is step two, which is to use logic trees to disaggregate the problem. Every problem we’re solving has some complexity and some uncertainty in it. The only way that we can really get our team working on the problem is to take the problem apart into logical pieces.

What we find, of course, is that the way to disaggregate the problem often gives you an insight into the answer to the problem quite quickly. I love to do two or three different cuts at it, each one giving a bit of a different insight into what might be going wrong. By doing sensible disaggregations, using logic trees, we can figure out which parts of the problem we should be looking at, and we can assign those different parts to team members.

Simon London: What’s a good example of a logic tree on a sort of ratable problem?

Charles Conn: Maybe the easiest one is the classic profit tree. Almost in every business that I would take a look at, I would start with a profit or return-on-assets tree. In its simplest form, you have the components of revenue, which are price and quantity, and the components of cost, which are cost and quantity. Each of those can be broken out. Cost can be broken into variable cost and fixed cost. The components of price can be broken into what your pricing scheme is. That simple tree often provides insight into what’s going on in a business or what the difference is between that business and the competitors.

If we add the leg, which is “What’s the asset base or investment element?”—so profit divided by assets—then we can ask the question “Is the business using its investments sensibly?” whether that’s in stores or in manufacturing or in transportation assets. I hope we can see just how simple this is, even though we’re describing it in words.

When I went to work with Gordon Moore at the Moore Foundation, the problem that he asked us to look at was “How can we save Pacific salmon?” Now, that sounds like an impossible question, but it was amenable to precisely the same type of disaggregation and allowed us to organize what became a 15-year effort to improve the likelihood of good outcomes for Pacific salmon.

Simon London: Now, is there a danger that your logic tree can be impossibly large? This, I think, brings us onto the third step in the process, which is that you have to prioritize.

Charles Conn: Absolutely. The third step, which we also emphasize, along with good problem definition, is rigorous prioritization—we ask the questions “How important is this lever or this branch of the tree in the overall outcome that we seek to achieve? How much can I move that lever?” Obviously, we try and focus our efforts on ones that have a big impact on the problem and the ones that we have the ability to change. With salmon, ocean conditions turned out to be a big lever, but not one that we could adjust. We focused our attention on fish habitats and fish-harvesting practices, which were big levers that we could affect.

People spend a lot of time arguing about branches that are either not important or that none of us can change. We see it in the public square. When we deal with questions at the policy level—“Should you support the death penalty?” “How do we affect climate change?” “How can we uncover the causes and address homelessness?”—it’s even more important that we’re focusing on levers that are big and movable.

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Simon London: Let’s move swiftly on to step four. You’ve defined your problem, you disaggregate it, you prioritize where you want to analyze—what you want to really look at hard. Then you got to the work plan. Now, what does that mean in practice?

Hugo Sarrazin: Depending on what you’ve prioritized, there are many things you could do. It could be breaking the work among the team members so that people have a clear piece of the work to do. It could be defining the specific analyses that need to get done and executed, and being clear on time lines. There’s always a level-one answer, there’s a level-two answer, there’s a level-three answer. Without being too flippant, I can solve any problem during a good dinner with wine. It won’t have a whole lot of backing.

Simon London: Not going to have a lot of depth to it.

Hugo Sarrazin: No, but it may be useful as a starting point. If the stakes are not that high, that could be OK. If it’s really high stakes, you may need level three and have the whole model validated in three different ways. You need to find a work plan that reflects the level of precision, the time frame you have, and the stakeholders you need to bring along in the exercise.

Charles Conn: I love the way you’ve described that, because, again, some people think of problem solving as a linear thing, but of course what’s critical is that it’s iterative. As you say, you can solve the problem in one day or even one hour.

Charles Conn: We encourage our teams everywhere to do that. We call it the one-day answer or the one-hour answer. In work planning, we’re always iterating. Every time you see a 50-page work plan that stretches out to three months, you know it’s wrong. It will be outmoded very quickly by that learning process that you described. Iterative problem solving is a critical part of this. Sometimes, people think work planning sounds dull, but it isn’t. It’s how we know what’s expected of us and when we need to deliver it and how we’re progressing toward the answer. It’s also the place where we can deal with biases. Bias is a feature of every human decision-making process. If we design our team interactions intelligently, we can avoid the worst sort of biases.

Simon London: Here we’re talking about cognitive biases primarily, right? It’s not that I’m biased against you because of your accent or something. These are the cognitive biases that behavioral sciences have shown we all carry around, things like anchoring, overoptimism—these kinds of things.

Both: Yeah.

Charles Conn: Availability bias is the one that I’m always alert to. You think you’ve seen the problem before, and therefore what’s available is your previous conception of it—and we have to be most careful about that. In any human setting, we also have to be careful about biases that are based on hierarchies, sometimes called sunflower bias. I’m sure, Hugo, with your teams, you make sure that the youngest team members speak first. Not the oldest team members, because it’s easy for people to look at who’s senior and alter their own creative approaches.

Hugo Sarrazin: It’s helpful, at that moment—if someone is asserting a point of view—to ask the question “This was true in what context?” You’re trying to apply something that worked in one context to a different one. That can be deadly if the context has changed, and that’s why organizations struggle to change. You promote all these people because they did something that worked well in the past, and then there’s a disruption in the industry, and they keep doing what got them promoted even though the context has changed.

Simon London: Right. Right.

Hugo Sarrazin: So it’s the same thing in problem solving.

Charles Conn: And it’s why diversity in our teams is so important. It’s one of the best things about the world that we’re in now. We’re likely to have people from different socioeconomic, ethnic, and national backgrounds, each of whom sees problems from a slightly different perspective. It is therefore much more likely that the team will uncover a truly creative and clever approach to problem solving.

Simon London: Let’s move on to step five. You’ve done your work plan. Now you’ve actually got to do the analysis. The thing that strikes me here is that the range of tools that we have at our disposal now, of course, is just huge, particularly with advances in computation, advanced analytics. There’s so many things that you can apply here. Just talk about the analysis stage. How do you pick the right tools?

Charles Conn: For me, the most important thing is that we start with simple heuristics and explanatory statistics before we go off and use the big-gun tools. We need to understand the shape and scope of our problem before we start applying these massive and complex analytical approaches.

Simon London: Would you agree with that?

Hugo Sarrazin: I agree. I think there are so many wonderful heuristics. You need to start there before you go deep into the modeling exercise. There’s an interesting dynamic that’s happening, though. In some cases, for some types of problems, it is even better to set yourself up to maximize your learning. Your problem-solving methodology is test and learn, test and learn, test and learn, and iterate. That is a heuristic in itself, the A/B testing that is used in many parts of the world. So that’s a problem-solving methodology. It’s nothing different. It just uses technology and feedback loops in a fast way. The other one is exploratory data analysis. When you’re dealing with a large-scale problem, and there’s so much data, I can get to the heuristics that Charles was talking about through very clever visualization of data.

You test with your data. You need to set up an environment to do so, but don’t get caught up in neural-network modeling immediately. You’re testing, you’re checking—“Is the data right? Is it sound? Does it make sense?”—before you launch too far.

Simon London: You do hear these ideas—that if you have a big enough data set and enough algorithms, they’re going to find things that you just wouldn’t have spotted, find solutions that maybe you wouldn’t have thought of. Does machine learning sort of revolutionize the problem-solving process? Or are these actually just other tools in the toolbox for structured problem solving?

Charles Conn: It can be revolutionary. There are some areas in which the pattern recognition of large data sets and good algorithms can help us see things that we otherwise couldn’t see. But I do think it’s terribly important we don’t think that this particular technique is a substitute for superb problem solving, starting with good problem definition. Many people use machine learning without understanding algorithms that themselves can have biases built into them. Just as 20 years ago, when we were doing statistical analysis, we knew that we needed good model definition, we still need a good understanding of our algorithms and really good problem definition before we launch off into big data sets and unknown algorithms.

Simon London: Step six. You’ve done your analysis.

Charles Conn: I take six and seven together, and this is the place where young problem solvers often make a mistake. They’ve got their analysis, and they assume that’s the answer, and of course it isn’t the answer. The ability to synthesize the pieces that came out of the analysis and begin to weave those into a story that helps people answer the question “What should I do?” This is back to where we started. If we can’t synthesize, and we can’t tell a story, then our decision maker can’t find the answer to “What should I do?”

Simon London: But, again, these final steps are about motivating people to action, right?

Charles Conn: Yeah.

Simon London: I am slightly torn about the nomenclature of problem solving because it’s on paper, right? Until you motivate people to action, you actually haven’t solved anything.

Charles Conn: I love this question because I think decision-making theory, without a bias to action, is a waste of time. Everything in how I approach this is to help people take action that makes the world better.

Simon London: Hence, these are absolutely critical steps. If you don’t do this well, you’ve just got a bunch of analysis.

Charles Conn: We end up in exactly the same place where we started, which is people speaking across each other, past each other in the public square, rather than actually working together, shoulder to shoulder, to crack these important problems.

Simon London: In the real world, we have a lot of uncertainty—arguably, increasing uncertainty. How do good problem solvers deal with that?

Hugo Sarrazin: At every step of the process. In the problem definition, when you’re defining the context, you need to understand those sources of uncertainty and whether they’re important or not important. It becomes important in the definition of the tree.

You need to think carefully about the branches of the tree that are more certain and less certain as you define them. They don’t have equal weight just because they’ve got equal space on the page. Then, when you’re prioritizing, your prioritization approach may put more emphasis on things that have low probability but huge impact—or, vice versa, may put a lot of priority on things that are very likely and, hopefully, have a reasonable impact. You can introduce that along the way. When you come back to the synthesis, you just need to be nuanced about what you’re understanding, the likelihood.

Often, people lack humility in the way they make their recommendations: “This is the answer.” They’re very precise, and I think we would all be well-served to say, “This is a likely answer under the following sets of conditions” and then make the level of uncertainty clearer, if that is appropriate. It doesn’t mean you’re always in the gray zone; it doesn’t mean you don’t have a point of view. It just means that you can be explicit about the certainty of your answer when you make that recommendation.

Simon London: So it sounds like there is an underlying principle: “Acknowledge and embrace the uncertainty. Don’t pretend that it isn’t there. Be very clear about what the uncertainties are up front, and then build that into every step of the process.”

Hugo Sarrazin: Every step of the process.

Simon London: Yeah. We have just walked through a particular structured methodology for problem solving. But, of course, this is not the only structured methodology for problem solving. One that is also very well-known is design thinking, which comes at things very differently. So, Hugo, I know you have worked with a lot of designers. Just give us a very quick summary. Design thinking—what is it, and how does it relate?

Hugo Sarrazin: It starts with an incredible amount of empathy for the user and uses that to define the problem. It does pause and go out in the wild and spend an enormous amount of time seeing how people interact with objects, seeing the experience they’re getting, seeing the pain points or joy—and uses that to infer and define the problem.

Simon London: Problem definition, but out in the world.

Hugo Sarrazin: With an enormous amount of empathy. There’s a huge emphasis on empathy. Traditional, more classic problem solving is you define the problem based on an understanding of the situation. This one almost presupposes that we don’t know the problem until we go see it. The second thing is you need to come up with multiple scenarios or answers or ideas or concepts, and there’s a lot of divergent thinking initially. That’s slightly different, versus the prioritization, but not for long. Eventually, you need to kind of say, “OK, I’m going to converge again.” Then you go and you bring things back to the customer and get feedback and iterate. Then you rinse and repeat, rinse and repeat. There’s a lot of tactile building, along the way, of prototypes and things like that. It’s very iterative.

Simon London: So, Charles, are these complements or are these alternatives?

Charles Conn: I think they’re entirely complementary, and I think Hugo’s description is perfect. When we do problem definition well in classic problem solving, we are demonstrating the kind of empathy, at the very beginning of our problem, that design thinking asks us to approach. When we ideate—and that’s very similar to the disaggregation, prioritization, and work-planning steps—we do precisely the same thing, and often we use contrasting teams, so that we do have divergent thinking. The best teams allow divergent thinking to bump them off whatever their initial biases in problem solving are. For me, design thinking gives us a constant reminder of creativity, empathy, and the tactile nature of problem solving, but it’s absolutely complementary, not alternative.

Simon London: I think, in a world of cross-functional teams, an interesting question is do people with design-thinking backgrounds really work well together with classical problem solvers? How do you make that chemistry happen?

Hugo Sarrazin: Yeah, it is not easy when people have spent an enormous amount of time seeped in design thinking or user-centric design, whichever word you want to use. If the person who’s applying classic problem-solving methodology is very rigid and mechanical in the way they’re doing it, there could be an enormous amount of tension. If there’s not clarity in the role and not clarity in the process, I think having the two together can be, sometimes, problematic.

The second thing that happens often is that the artifacts the two methodologies try to gravitate toward can be different. Classic problem solving often gravitates toward a model; design thinking migrates toward a prototype. Rather than writing a big deck with all my supporting evidence, they’ll bring an example, a thing, and that feels different. Then you spend your time differently to achieve those two end products, so that’s another source of friction.

Now, I still think it can be an incredibly powerful thing to have the two—if there are the right people with the right mind-set, if there is a team that is explicit about the roles, if we’re clear about the kind of outcomes we are attempting to bring forward. There’s an enormous amount of collaborativeness and respect.

Simon London: But they have to respect each other’s methodology and be prepared to flex, maybe, a little bit, in how this process is going to work.

Hugo Sarrazin: Absolutely.

Simon London: The other area where, it strikes me, there could be a little bit of a different sort of friction is this whole concept of the day-one answer, which is what we were just talking about in classical problem solving. Now, you know that this is probably not going to be your final answer, but that’s how you begin to structure the problem. Whereas I would imagine your design thinkers—no, they’re going off to do their ethnographic research and get out into the field, potentially for a long time, before they come back with at least an initial hypothesis.

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Hugo Sarrazin: That is a great callout, and that’s another difference. Designers typically will like to soak into the situation and avoid converging too quickly. There’s optionality and exploring different options. There’s a strong belief that keeps the solution space wide enough that you can come up with more radical ideas. If there’s a large design team or many designers on the team, and you come on Friday and say, “What’s our week-one answer?” they’re going to struggle. They’re not going to be comfortable, naturally, to give that answer. It doesn’t mean they don’t have an answer; it’s just not where they are in their thinking process.

Simon London: I think we are, sadly, out of time for today. But Charles and Hugo, thank you so much.

Charles Conn: It was a pleasure to be here, Simon.

Hugo Sarrazin: It was a pleasure. Thank you.

Simon London: And thanks, as always, to you, our listeners, for tuning into this episode of the McKinsey Podcast . If you want to learn more about problem solving, you can find the book, Bulletproof Problem Solving: The One Skill That Changes Everything , online or order it through your local bookstore. To learn more about McKinsey, you can of course find us at McKinsey.com.

Charles Conn is CEO of Oxford Sciences Innovation and an alumnus of McKinsey’s Sydney office. Hugo Sarrazin is a senior partner in the Silicon Valley office, where Simon London, a member of McKinsey Publishing, is also based.

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Five routes to more innovative problem solving

Learn Creative Problem Solving Techniques to Stimulate Innovation in Your Organization

By Kate Eby | October 20, 2017 (updated August 27, 2021)

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In today’s competitive business landscape, organizations need processes in place to make strong, well-informed, and innovative decisions. Problem solving - in particular creative problem solving (CPS) - is a key skill in learning how to accurately identify problems and their causes, generate potential solutions, and evaluate all the possibilities to arrive at a strong corrective course of action. Every team in any organization, regardless of department or industry, needs to be effective, creative, and quick when solving problems.

In this article, we’ll discuss traditional and creative problem solving, and define the steps, best practices, and common barriers associated. After that, we’ll provide helpful methods and tools to identify the cause(s) of problematic situations, so you can get to the root of the issue and start to generate solutions. Then, we offer nearly 20 creative problem solving techniques to implement at your organization, or even in your personal life. Along the way, experts weigh in on the importance of problem solving, and offer tips and tricks.

What Is Problem Solving and Decision Making?

Problem solving is the process of working through every aspect of an issue or challenge to reach a solution. Decision making is choosing one of multiple proposed solutions — therefore, this process also includes defining and evaluating all potential options. Decision making is often one step of the problem solving process, but the two concepts are distinct.

Collective problem solving is problem solving that includes many different parties and bridges the knowledge of different groups. Collective problem solving is common in business problem solving because workplace decisions typically affect more than one person.

Problem solving, especially in business, is a complicated science. Not only are business conflicts multifaceted, but they often involve different personalities, levels of authority, and group dynamics. In recent years, however, there has been a rise in psychology-driven problem solving techniques, especially for the workplace. In fact, the psychology of how people solve problems is now studied formally in academic disciplines such as psychology and cognitive science.

Joe Carella is the Assistant Dean for Executive Education at the University of Arizona . Joe has over 20 years of experience in helping executives and corporations in managing change and developing successful business strategies. His doctoral research and executive education engagements have seen him focus on corporate strategy, decision making and business performance with a variety of corporate clients including Hershey’s, Chevron, Fender Musical Instruments Corporation, Intel, DP World, Essilor, BBVA Compass Bank.

He explains some of the basic psychology behind problem solving: “When our brain is engaged in the process of solving problems, it is engaged in a series of steps where it processes and organizes the information it receives while developing new knowledge it uses in future steps. Creativity is embedded in this process by incorporating diverse inputs and/or new ways of organizing the information received.”

Laura MacLeod is a Professor of Social Group Work at City University of New York, and the creator of From The Inside Out Project® , a program that coaches managers in team leadership for a variety of workplaces. She has a background in social work and over two decades of experience as a union worker, and currently leads talks on conflict resolution, problem solving, and listening skills at conferences across the country.

MacLeod thinks of problem solving as an integral practice of successful organizations. “Problem solving is a collaborative process — all voices are heard and connected, and resolution is reached by the group,” she says. “Problems and conflicts occur in all groups and teams in the workplace, but if leaders involve everyone in working through, they will foster cohesion, engagement, and buy in. Everybody wins.”

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What Is the First Step in Solving a Problem?

Although problem solving techniques vary procedurally, experts agree that the first step in solving a problem is defining the problem. Without a clear articulation of the problem at stake, it is impossible to analyze all the key factors and actors, generate possible solutions, and then evaluate them to pick the best option.

Dr. Elliott Jaffa is a behavioral and management psychologist with over 25 years of problem solving training and management experience. “Start with defining the problem you want to solve,” he says, “And then define where you want to be, what you want to come away with.” He emphasizes these are the first steps in creating an actionable, clear solution.

Bryan Mattimore is Co-Founder of Growth Engine, an 18-year old innovation agency based in Norwalk, CT. Bryan has facilitated over 1,000 ideation sessions and managed over 200 successful innovation projects leading to over $3 billion in new sales. His newest book is 21 Days to a Big Idea . When asked about the first critical component to successful problem solving, Mattimore says, “Defining the challenge correctly, or ‘solving the right problem’ … The three creative techniques we use to help our clients ‘identify the right problem to be solved’ are questioning assumptions, 20 questions, and problem redefinition. A good example of this was a new product challenge from a client to help them ‘invent a new iron. We got them to redefine the challenge as first: a) inventing new anti-wrinkle devices, and then b) inventing new garment care devices.”

What Are Problem Solving Skills?

To understand the necessary skills in problem solving, you should first understand the types of thinking often associated with strong decision making. Most problem solving techniques look for a balance between the following binaries:

Convergent vs. Divergent Thinking: Convergent thinking is bringing together disparate information or ideas to determine a single best answer or solution. This thinking style values logic, speed, and accuracy, and leaves no chance for ambiguity. Divergent thinking is focused on generating new ideas to identify and evaluate multiple possible solutions, often uniting ideas in unexpected combinations. Divergent thinking is characterized by creativity, complexity, curiosity, flexibility, originality, and risk-taking.
Pragmatics vs. Semantics: Pragmatics refer to the logic of the problem at hand, and semantics is how you interpret the problem to solve it. Both are important to yield the best possible solution.
Mathematical vs. Personal Problem Solving: Mathematical problem solving involves logic (usually leading to a single correct answer), and is useful for problems that involve numbers or require an objective, clear-cut solution. However, many workplace problems also require personal problem solving, which includes interpersonal, collaborative, and emotional intuition and skills.

The following basic methods are fundamental problem solving concepts. Implement them to help balance the above thinking models.

Reproductive Thinking: Reproductive thinking uses past experience to solve a problem. However, be careful not to rely too heavily on past solutions, and to evaluate current problems individually, with their own factors and parameters.
Idea Generation: The process of generating many possible courses of action to identify a solution. This is most commonly a team exercise because putting everyone’s ideas on the table will yield the greatest number of potential solutions.

However, many of the most critical problem solving skills are “soft” skills: personal and interpersonal understanding, intuitiveness, and strong listening.

Mattimore expands on this idea: “The seven key skills to be an effective creative problem solver that I detail in my book Idea Stormers: How to Lead and Inspire Creative Breakthroughs are: 1) curiosity 2) openness 3) a willingness to embrace ambiguity 4) the ability to identify and transfer principles across categories and disciplines 5) the desire to search for integrity in ideas, 6) the ability to trust and exercise “knowingness” and 7) the ability to envision new worlds (think Dr. Seuss, Star Wars, Hunger Games, Harry Potter, etc.).”

“As an individual contributor to problem solving it is important to exercise our curiosity, questioning, and visioning abilities,” advises Carella. “As a facilitator it is essential to allow for diverse ideas to emerge, be able to synthesize and ‘translate’ other people’s thinking, and build an extensive network of available resources.”

MacLeod says the following interpersonal skills are necessary to effectively facilitate group problem solving: “The abilities to invite participation (hear all voices, encourage silent members), not take sides, manage dynamics between the monopolizer, the scapegoat, and the bully, and deal with conflict (not avoiding it or shutting down).”

Furthermore, Jaffa explains that the skills of a strong problem solver aren’t measurable. The best way to become a creative problem solver, he says, is to do regular creative exercises that keep you sharp and force you to think outside the box. Carella echoes this sentiment: “Neuroscience tells us that creativity comes from creating novel neural paths. Allow a few minutes each day to exercise your brain with novel techniques and brain ‘tricks’ – read something new, drive to work via a different route, count backwards, smell a new fragrance, etc.”

What Is Creative Problem Solving? History, Evolution, and Core Principles

Creative problem solving (CPS) is a method of problem solving in which you approach a problem or challenge in an imaginative, innovative way. The goal of CPS is to come up with innovative solutions, make a decision, and take action quickly. Sidney Parnes and Alex Osborn are credited with developing the creative problem solving process in the 1950s. The concept was further studied and developed at SUNY Buffalo State and the Creative Education Foundation.

The core principles of CPS include the following:

Balance divergent and convergent thinking
Ask problems as questions
Defer or suspend judgement
Focus on “Yes, and…” rather than “No, but…”

According to Carella, “Creative problem solving is the mental process used for generating innovative and imaginative ideas as a solution to a problem or a challenge. Creative problem solving techniques can be pursued by individuals or groups.”

When asked to define CPS, Jaffa explains that it is, by nature, difficult to create boundaries for. “Creative problem solving is not cut and dry,” he says, “If you ask 100 different people the definition of creative problem solving, you’ll get 100 different responses - it’s a non-entity.”

Business presents a unique need for creative problem solving. Especially in today’s competitive landscape, organizations need to iterate quickly, innovate with intention, and constantly be at the cutting-edge of creativity and new ideas to succeed. Developing CPS skills among your workforce not only enables you to make faster, stronger in-the-moment decisions, but also inspires a culture of collaborative work and knowledge sharing. When people work together to generate multiple novel ideas and evaluate solutions, they are also more likely to arrive at an effective decision, which will improve business processes and reduce waste over time. In fact, CPS is so important that some companies now list creative problem solving skills as a job criteria.

MacLeod reiterates the vitality of creative problem solving in the workplace. “Problem solving is crucial for all groups and teams,” she says. “Leaders need to know how to guide the process, hear all voices and involve all members - it’s not easy.”

“This mental process [of CPS] is especially helpful in work environments where individuals and teams continuously struggle with new problems and challenges posed by their continuously changing environment,” adds Carella.

Problem Solving Best Practices

By nature, creative problem solving does not have a clear-cut set of do’s and don’ts. Rather, creating a culture of strong creative problem solvers requires flexibility, adaptation, and interpersonal skills. However, there are a several best practices that you should incorporate:

Use a Systematic Approach: Regardless of the technique you use, choose a systematic method that satisfies your workplace conditions and constraints (time, resources, budget, etc.). Although you want to preserve creativity and openness to new ideas, maintaining a structured approach to the process will help you stay organized and focused.
View Problems as Opportunities: Rather than focusing on the negatives or giving up when you encounter barriers, treat problems as opportunities to enact positive change on the situation. In fact, some experts even recommend defining problems as opportunities, to remain proactive and positive.
Change Perspective: Remember that there are multiple ways to solve any problem. If you feel stuck, changing perspective can help generate fresh ideas. A perspective change might entail seeking advice of a mentor or expert, understanding the context of a situation, or taking a break and returning to the problem later. “A sterile or familiar environment can stifle new thinking and new perspectives,” says Carella. “Make sure you get out to draw inspiration from spaces and people out of your usual reach.”
Break Down Silos: To invite the greatest possible number of perspectives to any problem, encourage teams to work cross-departmentally. This not only combines diverse expertise, but also creates a more trusting and collaborative environment, which is essential to effective CPS. According to Carella, “Big challenges are always best tackled by a group of people rather than left to a single individual. Make sure you create a space where the team can concentrate and convene.”
Employ Strong Leadership or a Facilitator: Some companies choose to hire an external facilitator that teaches problem solving techniques, best practices, and practicums to stimulate creative problem solving. But, internal managers and staff can also oversee these activities. Regardless of whether the facilitator is internal or external, choose a strong leader who will value others’ ideas and make space for creative solutions. Mattimore has specific advice regarding the role of a facilitator: “When facilitating, get the group to name a promising idea (it will crystalize the idea and make it more memorable), and facilitate deeper rather than broader. Push for not only ideas, but how an idea might specifically work, some of its possible benefits, who and when would be interested in an idea, etc. This fleshing-out process with a group will generate fewer ideas, but at the end of the day will yield more useful concepts that might be profitably pursued.” Additionally, Carella says that “Executives and managers don’t necessarily have to be creative problem solvers, but need to make sure that their teams are equipped with the right tools and resources to make this happen. Also they need to be able to foster an environment where failing fast is accepted and celebrated.”
Evaluate Your Current Processes: This practice can help you unlock bottlenecks, and also identify gaps in your data and information management, both of which are common roots of business problems.

MacLeod offers the following additional advice, “Always get the facts. Don’t jump too quickly to a solution – working through [problems] takes time and patience.”

Mattimore also stresses that how you introduce creative problem solving is important. “Do not start by introducing a new company-wide innovation process,” he says. “Instead, encourage smaller teams to pursue specific creative projects, and then build a process from the ground up by emulating these smaller teams’ successful approaches. We say: ‘You don’t innovate by changing the culture, you change the culture by innovating.’”

Barriers to Effective Problem Solving

Learning how to effectively solve problems is difficult and takes time and continual adaptation. There are several common barriers to successful CPS, including:

Confirmation Bias: The tendency to only search for or interpret information that confirms a person’s existing ideas. People misinterpret or disregard data that doesn’t align with their beliefs.
Mental Set: People’s inclination to solve problems using the same tactics they have used to solve problems in the past. While this can sometimes be a useful strategy (see Analogical Thinking in a later section), it often limits inventiveness and creativity.
Functional Fixedness: This is another form of narrow thinking, where people become “stuck” thinking in a certain way and are unable to be flexible or change perspective.
Unnecessary Constraints: When people are overwhelmed with a problem, they can invent and impose additional limits on solution avenues. To avoid doing this, maintain a structured, level-headed approach to evaluating causes, effects, and potential solutions.
Groupthink: Be wary of the tendency for group members to agree with each other — this might be out of conflict avoidance, path of least resistance, or fear of speaking up. While this agreeableness might make meetings run smoothly, it can actually stunt creativity and idea generation, therefore limiting the success of your chosen solution.
Irrelevant Information: The tendency to pile on multiple problems and factors that may not even be related to the challenge at hand. This can cloud the team’s ability to find direct, targeted solutions.
Paradigm Blindness: This is found in people who are unwilling to adapt or change their worldview, outlook on a particular problem, or typical way of processing information. This can erode the effectiveness of problem solving techniques because they are not aware of the narrowness of their thinking, and therefore cannot think or act outside of their comfort zone.

According to Jaffa, the primary barrier of effective problem solving is rigidity. “The most common things people say are, ‘We’ve never done it before,’ or ‘We’ve always done it this way.’” While these feelings are natural, Jaffa explains that this rigid thinking actually precludes teams from identifying creative, inventive solutions that result in the greatest benefit.

“The biggest barrier to creative problem solving is a lack of awareness – and commitment to – training employees in state-of-the-art creative problem-solving techniques,” Mattimore explains. “We teach our clients how to use ideation techniques (as many as two-dozen different creative thinking techniques) to help them generate more and better ideas. Ideation techniques use specific and customized stimuli, or ‘thought triggers’ to inspire new thinking and new ideas.”

MacLeod adds that ineffective or rushed leadership is another common culprit. “We're always in a rush to fix quickly,” she says. “Sometimes leaders just solve problems themselves, making unilateral decisions to save time. But the investment is well worth it — leaders will have less on their plates if they can teach and eventually trust the team to resolve. Teams feel empowered and engagement and investment increases.”

Strategies for Problem Cause Identification

As discussed, most experts agree that the first and most crucial step in problem solving is defining the problem. Once you’ve done this, however, it may not be appropriate to move straight to the solution phase. Rather, it is often helpful to identify the cause(s) of the problem: This will better inform your solution planning and execution, and help ensure that you don’t fall victim to the same challenges in the future.

Below are some of the most common strategies for identifying the cause of a problem:

Root Cause Analysis: This method helps identify the most critical cause of a problem. A factor is considered a root cause if removing it prevents the problem from recurring. Performing a root cause analysis is a 12 step process that includes: define the problem, gather data on the factors contributing to the problem, group the factors based on shared characteristics, and create a cause-and-effect timeline to determine the root cause. After that, you identify and evaluate corrective actions to eliminate the root cause.

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Problem Solving Techniques and Strategies

In this section, we’ll explain several traditional and creative problem solving methods that you can use to identify challenges, create actionable goals, and resolve problems as they arise. Although there is often procedural and objective crossover among techniques, they are grouped by theme so you can identify which method works best for your organization.

Divergent Creative Problem Solving Techniques

Brainstorming: One of the most common methods of divergent thinking, brainstorming works best in an open group setting where everyone is encouraged to share their creative ideas. The goal is to generate as many ideas as possible – you analyze, critique, and evaluate the ideas only after the brainstorming session is complete. To learn more specific brainstorming techniques, read this article .

Mind Mapping: This is a visual thinking tool where you graphically depict concepts and their relation to one another. You can use mind mapping to structure the information you have, analyze and synthesize it, and generate solutions and new ideas from there. The goal of a mind map is to simplify complicated problems so you can more clearly identify solutions.

Appreciative Inquiry (AI): The basic assumption of AI is that “an organization is a mystery to be embraced.” Using this principle, AI takes a positive, inquisitive approach to identifying the problem, analyzing the causes, and presenting possible solutions. The five principles of AI emphasize dialogue, deliberate language and outlook, and social bonding.

Lateral Thinking: This is an indirect problem solving approach centered on the momentum of idea generation. As opposed to critical thinking, where people value ideas based on their truth and the absence of errors, lateral thinking values the “movement value” of new ideas: This means that you reward team members for producing a large volume of new ideas rapidly. With this approach, you’ll generate many new ideas before approving or rejecting any.

Problem Solving Techniques to Change Perspective

Constructive Controversy: This is a structured approach to group decision making to preserve critical thinking and disagreement while maintaining order. After defining the problem and presenting multiple courses of action, the group divides into small advocacy teams who research, analyze, and refute a particular option. Once each advocacy team has presented its best-case scenario, the group has a discussion (advocacy teams still defend their presented idea). Arguing and playing devil’s advocate is encouraged to reach an understanding of the pros and cons of each option. Next, advocacy teams abandon their cause and evaluate the options openly until they reach a consensus. All team members formally commit to the decision, regardless of whether they advocated for it at the beginning. You can learn more about the goals and steps in constructive controversy here .

Carella is a fan of this approach. “Create constructive controversy by having two teams argue the pros and cons of a certain idea,” he says. “It forces unconscious biases to surface and gives space for new ideas to formulate.”

Abstraction: In this method, you apply the problem to a fictional model of the current situation. Mapping an issue to an abstract situation can shed extraneous or irrelevant factors, and reveal places where you are overlooking obvious solutions or becoming bogged down by circumstances.

Analogical Thinking: Also called analogical reasoning , this method relies on an analogy: using information from one problem to solve another problem (these separate problems are called domains). It can be difficult for teams to create analogies among unrelated problems, but it is a strong technique to help you identify repeated issues, zoom out and change perspective, and prevent the problems from occurring in the future. .

CATWOE: This framework ensures that you evaluate the perspectives of those whom your decision will impact. The factors and questions to consider include (which combine to make the acronym CATWOE):

Customers: Who is on the receiving end of your decisions? What problem do they currently have, and how will they react to your proposed solution?
Actors: Who is acting to bring your solution to fruition? How will they respond and be affected by your decision?
Transformation Process: What processes will you employ to transform your current situation and meet your goals? What are the inputs and outputs?
World View: What is the larger context of your proposed solution? What is the larger, big-picture problem you are addressing?
Owner: Who actually owns the process? How might they influence your proposed solution (positively or negatively), and how can you influence them to help you?
Environmental Constraints: What are the limits (environmental, resource- and budget-wise, ethical, legal, etc.) on your ideas? How will you revise or work around these constraints?

Complex Problem Solving

Soft Systems Methodology (SSM): For extremely complex problems, SSM can help you identify how factors interact, and determine the best course of action. SSM was borne out of organizational process modeling and general systems theory, which hold that everything is part of a greater, interconnected system: This idea works well for “hard” problems (where logic and a single correct answer are prioritized), and less so for “soft” problems (i.e., human problems where factors such as personality, emotions, and hierarchy come into play). Therefore, SSM defines a seven step process for problem solving:

Begin with the problem or problematic situation
Express the problem or situation and build a rich picture of the themes of the problem
Identify the root causes of the problem (most commonly with CATWOE)
Build conceptual models of human activity surrounding the problem or situation
Compare models with real-world happenings
Identify changes to the situation that are both feasible and desirable
Take action to implement changes and improve the problematic situation

SSM can be used for any complex soft problem, and is also a useful tool in change management .

Failure Mode and Effects Analysis (FMEA): This method helps teams anticipate potential problems and take steps to mitigate them. Use FMEA when you are designing (redesigning) a complex function, process, product, or service. First, identify the failure modes, which are the possible ways that a project could fail. Then, perform an effects analysis to understand the consequences of each of the potential downfalls. This exercise is useful for internalizing the severity of each potential failure and its effects so you can make adjustments or safeties in your plan.

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Problem Solving Based on Data or Logic (Heuristic Methods)

TRIZ: A Russian-developed problem solving technique that values logic, analysis, and forecasting over intuition or soft reasoning. TRIZ (translated to “theory of inventive problem solving” or TIPS in English) is a systematic approach to defining and identifying an inventive solution to difficult problems. The method offers several strategies for arriving at an inventive solution, including a contradictions matrix to assess trade-offs among solutions, a Su-Field analysis which uses formulas to describe a system by its structure, and ARIZ (algorithm of inventive problem solving) which uses algorithms to find inventive solutions.

Inductive Reasoning: A logical method that uses evidence to conclude that a certain answer is probable (this is opposed to deductive reasoning, where the answer is assumed to be true). Inductive reasoning uses a limited number of observations to make useful, logical conclusions (for example, the Scientific Method is an extreme example of inductive reasoning). However, this method doesn’t always map well to human problems in the workplace — in these instances, managers should employ intuitive inductive reasoning , which allows for more automatic, implicit conclusions so that work can progress. This, of course, retains the principle that these intuitive conclusions are not necessarily the one and only correct answer.

Process-Oriented Problem Solving Methods

Plan Do Check Act (PDCA): This is an iterative management technique used to ensure continual improvement of products or processes. First, teams plan (establish objectives to meet desired end results), then do (implement the plan, new processes, or produce the output), then check (compare expected with actual results), and finally act (define how the organization will act in the future, based on the performance and knowledge gained in the previous three steps).

Means-End Analysis (MEA): The MEA strategy is to reduce the difference between the current (problematic) state and the goal state. To do so, teams compile information on the multiple factors that contribute to the disparity between the current and goal states. Then they try to change or eliminate the factors one by one, beginning with the factor responsible for the greatest difference in current and goal state. By systematically tackling the multiple factors that cause disparity between the problem and desired outcome, teams can better focus energy and control each step of the process.

Hurson’s Productive Thinking Model: This technique was developed by Tim Hurson, and is detailed in his 2007 book Think Better: An Innovator’s Guide to Productive Thinking . The model outlines six steps that are meant to give structure while maintaining creativity and critical thinking: 1) Ask “What is going on?” 2) Ask “What is success?” 3) Ask “What is the question?” 4) Generate answers 5) Forge the solution 6) Align resources.

Control Influence Accept (CIA): The basic premise of CIA is that how you respond to problems determines how successful you will be in overcoming them. Therefore, this model is both a problem solving technique and stress-management tool that ensures you aren’t responding to problems in a reactive and unproductive way. The steps in CIA include:

Control: Identify the aspects of the problem that are within your control.
Influence: Identify the aspects of the problem that you cannot control, but that you can influence.
Accept: Identify the aspects of the problem that you can neither control nor influence, and react based on this composite information.

GROW Model: This is a straightforward problem solving method for goal setting that clearly defines your goals and current situation, and then asks you to define the potential solutions and be realistic about your chosen course of action. The steps break down as follows:

Goal: What do you want?
Reality: Where are you now?
Options: What could you do?
Will: What will you do?

OODA Loop: This acronym stands for observe, orient, decide, and act. This approach is a decision-making cycle that values agility and flexibility over raw human force. It is framed as a loop because of the understanding that any team will continually encounter problems or opponents to success and have to overcome them.

There are also many un-named creative problem solving techniques that follow a sequenced series of steps. While the exact steps vary slightly, they all follow a similar trajectory and aim to accomplish similar goals of problem, cause, and goal identification, idea generation, and active solution implementation.

MacLeod offers her own problem solving procedure, which echoes the above steps:

“1. Recognize the Problem: State what you see. Sometimes the problem is covert. 2. Identify: Get the facts — What exactly happened? What is the issue? 3. and 4. Explore and Connect: Dig deeper and encourage group members to relate their similar experiences. Now you're getting more into the feelings and background [of the situation], not just the facts. 5. Possible Solutions: Consider and brainstorm ideas for resolution. 6. Implement: Choose a solution and try it out — this could be role play and/or a discussion of how the solution would be put in place. 7. Evaluate: Revisit to see if the solution was successful or not.”

Many of these problem solving techniques can be used in concert with one another, or multiple can be appropriate for any given problem. It’s less about facilitating a perfect CPS session, and more about encouraging team members to continually think outside the box and push beyond personal boundaries that inhibit their innovative thinking. So, try out several methods, find those that resonate best with your team, and continue adopting new techniques and adapting your processes along the way.

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Guide: Problem Solving

Daniel Croft

Daniel Croft is an experienced continuous improvement manager with a Lean Six Sigma Black Belt and a Bachelor's degree in Business Management. With more than ten years of experience applying his skills across various industries, Daniel specializes in optimizing processes and improving efficiency. His approach combines practical experience with a deep understanding of business fundamentals to drive meaningful change.

Last Updated: January 7, 2024
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Problem-solving stands as a fundamental skill, crucial in navigating the complexities of both everyday life and professional environments. Far from merely providing quick fixes, it entails a comprehensive process involving the identification, analysis, and resolution of issues.

This multifaceted approach requires an understanding of the problem’s nature, the exploration of its various components, and the development of effective solutions. At its core, problem-solving serves as a bridge from the current situation to a desired outcome, requiring not only the recognition of an existing gap but also the precise definition and thorough analysis of the problem to find viable solutions.

What is problem solving.

At its core, problem-solving is about bridging the gap between the current situation and the desired outcome. It starts with recognizing that a discrepancy exists, which requires intervention to correct or improve. The ability to identify a problem is the first step, but it’s equally crucial to define it accurately. A well-defined problem is half-solved, as the saying goes.

Analyzing the problem is the next critical step. This analysis involves breaking down the problem into smaller parts to understand its intricacies. It requires looking at the problem from various angles and considering all relevant factors – be they environmental, social, technical, or economic. This comprehensive analysis aids in developing a deeper understanding of the problem’s root causes, rather than just its symptoms.

Finally, effective problem-solving involves the implementation of the chosen solution and its subsequent evaluation. This stage tests the practicality of the solution and its effectiveness in the real world. It’s a critical phase where theoretical solutions meet practical application.

The Nature of Problems

The nature of the problem significantly influences the approach to solving it. Problems vary greatly in their complexity and structure, and understanding this is crucial for effective problem-solving.

Simple vs. Complex Problems : Simple problems are straightforward, often with clear solutions. They usually have a limited number of variables and predictable outcomes. On the other hand, complex problems are multi-faceted. They involve multiple variables, stakeholders, and potential outcomes, often requiring a more sophisticated analysis and a multi-pronged approach to solving.

Structured vs. Unstructured Problems : Structured problems are well-defined. They follow a specific pattern or set of rules, making their outcomes more predictable. These problems often have established methodologies for solving. For example, mathematical problems usually fall into this category. Unstructured problems, in contrast, are more ambiguous. They lack a clear pattern or set of rules, making their outcomes uncertain. These problems require a more exploratory approach, often involving trial and error, to identify potential solutions.

Understanding the type of problem at hand is essential, as it dictates the approach. For instance, a simple problem might require a straightforward solution, while a complex problem might need a more comprehensive, step-by-step approach. Similarly, structured problems might benefit from established methodologies, whereas unstructured problems might need more innovative and creative problem-solving techniques.

The Problem-Solving Process

The process of problem-solving is a methodical approach that involves several distinct stages. Each stage plays a crucial role in navigating from the initial recognition of a problem to its final resolution. Let’s explore each of these stages in detail.

Step 1: Identifying the Problem

Step 2: defining the problem.

Once the problem is identified, the next step is to define it clearly and precisely. This is a critical phase because a well-defined problem often suggests its solution. Defining the problem involves breaking it down into smaller, more manageable parts. It also includes understanding the scope and impact of the problem. A clear definition helps in focusing efforts and resources efficiently and serves as a guide to stay on track during the problem-solving process.

Step 3: Analyzing the Problem

Step 4: generating solutions, step 5: evaluating and selecting solutions.

After generating a list of possible solutions, the next step is to evaluate each one critically. This evaluation includes considering the feasibility, costs, benefits, and potential impact of each solution. Techniques like cost-benefit analysis, risk assessment, and scenario planning can be useful here. The aim is to select the solution that best addresses the problem in the most efficient and effective way, considering the available resources and constraints.

Step 6: Implementing the Solution

Step 7: reviewing and reflecting.

The final stage in the problem-solving process is to review the implemented solution and reflect on its effectiveness and the process as a whole. This involves assessing whether the solution met its intended goals and what could have been done differently. Reflection is a critical part of learning and improvement. It helps in understanding what worked well and what didn’t, providing valuable insights for future problem-solving efforts.

Tools and Techniques for Effective Problem Solving

Problem-solving is a multifaceted endeavor that requires a variety of tools and techniques to navigate effectively. Different stages of the problem-solving process can benefit from specific strategies, enhancing the efficiency and effectiveness of the solutions developed. Here’s a detailed look at some key tools and techniques:

Brainstorming

Swot analysis (strengths, weaknesses, opportunities, threats), root cause analysis.

This is a method used to identify the underlying causes of a problem, rather than just addressing its symptoms. One popular technique within root cause analysis is the “ 5 Whys ” method. This involves asking “why” multiple times (traditionally five) until the fundamental cause of the problem is uncovered. This technique encourages deeper thinking and can reveal connections that aren’t immediately obvious. By addressing the root cause, solutions are more likely to be effective and long-lasting.

Mind Mapping

Each of these tools and techniques can be adapted to different types of problems and situations. Effective problem solvers often use a combination of these methods, depending on the nature of the problem and the context in which it exists. By leveraging these tools, one can enhance their ability to dissect complex problems, generate creative solutions, and implement effective strategies to address challenges.

Developing Problem-Solving Skills

Developing problem-solving skills is a dynamic process that hinges on both practice and introspection. Engaging with a diverse array of problems enhances one’s ability to adapt and apply different strategies. This exposure is crucial as it allows individuals to encounter various scenarios, ranging from straightforward to complex, each requiring a unique approach. Collaborating with others in teams is especially beneficial. It broadens one’s perspective, offering insights into different ways of thinking and approaching problems. Such collaboration fosters a deeper understanding of how diverse viewpoints can contribute to more robust solutions.

Reflection is equally important in the development of problem-solving skills. Reflecting on both successes and failures provides valuable lessons. Successes reinforce effective strategies and boost confidence, while failures are rich learning opportunities that highlight areas for improvement. This reflective practice enables one to understand what worked, what didn’t, and why.

Critical thinking is a foundational skill in problem-solving. It involves analyzing information, evaluating different perspectives, and making reasoned judgments. Creativity is another vital component. It pushes the boundaries of conventional thinking and leads to innovative solutions. Effective communication also plays a crucial role, as it ensures that ideas are clearly understood and collaboratively refined.

In conclusion, problem-solving is an indispensable skill set that blends analytical thinking, creativity, and practical implementation. It’s a journey from understanding the problem to applying a solution and learning from the outcome.

Whether dealing with simple or complex issues, or structured or unstructured challenges, the essence of problem-solving lies in a methodical approach and the effective use of various tools and techniques. It’s a skill that is honed over time, through experience, reflection, and the continuous development of critical thinking, creativity, and communication abilities. In mastering problem-solving, one not only addresses immediate issues but also builds a foundation for future challenges, leading to more innovative and effective outcomes.

Mourtos, N.J., Okamoto, N.D. and Rhee, J., 2004, February. Defining, teaching, and assessing problem solving skills . In 7th UICEE Annual Conference on Engineering Education (pp. 1-5).
Foshay, R. and Kirkley, J., 2003. Principles for teaching problem solving. Technical paper , 4 (1), pp.1-16.

Q: What are the key steps in the problem-solving process?

A : The problem-solving process involves several key steps: identifying the problem, defining it clearly, analyzing it to understand its root causes, generating a range of potential solutions, evaluating and selecting the most viable solution, implementing the chosen solution, and finally, reviewing and reflecting on the effectiveness of the solution and the process used to arrive at it.

Q: How can brainstorming be effectively used in problem-solving?

A: Brainstorming is effective in the solution generation phase of problem-solving. It involves gathering a group and encouraging the free flow of ideas without immediate criticism. The goal is to produce a large quantity of ideas, fostering creative thinking. This technique helps in uncovering unique and innovative solutions that might not surface in a more structured setting.

Q: What is SWOT Analysis and how does it aid in problem-solving?

A : SWOT Analysis is a strategic planning tool used to evaluate the Strengths, Weaknesses, Opportunities, and Threats involved in a situation. In problem-solving, it aids by providing a clear understanding of the internal and external factors that could impact the problem and potential solutions. This analysis helps in formulating strategies that leverage strengths and opportunities while mitigating weaknesses and threats.

Q: Why is it important to understand the nature of a problem before solving it?

A : Understanding the nature of a problem is crucial as it dictates the approach for solving it. Problems can be simple or complex, structured or unstructured, and each type requires a different strategy. A clear understanding of the problem’s nature helps in applying the appropriate methods and tools for effective resolution.

Q: How does reflection contribute to developing problem-solving skills?

A : Reflection is a critical component in developing problem-solving skills. It involves looking back at the problem-solving process and the implemented solution to assess what worked well and what didn’t. Reflecting on both successes and failures provides valuable insights and lessons, helping to refine and improve problem-solving strategies for future challenges. This reflective practice enhances one’s ability to approach problems more effectively over time.

Daniel Croft is a seasoned continuous improvement manager with a Black Belt in Lean Six Sigma. With over 10 years of real-world application experience across diverse sectors, Daniel has a passion for optimizing processes and fostering a culture of efficiency. He's not just a practitioner but also an avid learner, constantly seeking to expand his knowledge. Outside of his professional life, Daniel has a keen Investing, statistics and knowledge-sharing, which led him to create the website learnleansigma.com, a platform dedicated to Lean Six Sigma and process improvement insights.

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How to Solve Problems

Laura Amico

To bring the best ideas forward, teams must build psychological safety.

Teams today aren’t just asked to execute tasks: They’re called upon to solve problems. You’d think that many brains working together would mean better solutions, but the reality is that too often problem-solving teams fall victim to inefficiency, conflict, and cautious conclusions. The two charts below will help your team think about how to collaborate better and come up with the best solutions for the thorniest challenges.

Laura Amico is a former senior editor at Harvard Business Review.

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The problem-solving process, how to solve problems: 5 steps, train to solve problems with lean today, what is problem solving steps, techniques, & best practices explained.

Problem solving is the art of identifying problems and implementing the best possible solutions. Revisiting your problem-solving skills may be the missing piece to leveraging the performance of your business, achieving Lean success, or unlocking your professional potential.

Ask any colleague if they’re an effective problem-solver and their likely answer will be, “Of course! I solve problems every day.”

Problem solving is part of most job descriptions, sure. But not everyone can do it consistently.

Problem solving is the process of defining a problem, identifying its root cause, prioritizing and selecting potential solutions, and implementing the chosen solution.

There’s no one-size-fits-all problem-solving process. Often, it’s a unique methodology that aligns your short- and long-term objectives with the resources at your disposal. Nonetheless, many paradigms center problem solving as a pathway for achieving one’s goals faster and smarter.

One example is the Six Sigma framework , which emphasizes eliminating errors and refining the customer experience, thereby improving business outcomes. Developed originally by Motorola, the Six Sigma process identifies problems from the perspective of customer satisfaction and improving product delivery.

Lean management, a similar method, is about streamlining company processes over time so they become “leaner” while producing better outcomes.

Trendy business management lingo aside, both of these frameworks teach us that investing in your problem solving process for personal and professional arenas will bring better productivity.

1. Precisely Identify Problems

As obvious as it seems, identifying the problem is the first step in the problem-solving process. Pinpointing a problem at the beginning of the process will guide your research, collaboration, and solutions in the right direction.

At this stage, your task is to identify the scope and substance of the problem. Ask yourself a series of questions:

What’s the problem?
How many subsets of issues are underneath this problem?
What subject areas, departments of work, or functions of business can best define this problem?

Although some problems are naturally large in scope, precision is key. Write out the problems as statements in planning sheets . Should information or feedback during a later step alter the scope of your problem, revise the statements.

Framing the problem at this stage will help you stay focused if distractions come up in later stages. Furthermore, how you frame a problem will aid your search for a solution. A strategy of building Lean success, for instance, will emphasize identifying and improving upon inefficient systems.

2. Collect Information and Plan

The second step is to collect information and plan the brainstorming process. This is another foundational step to road mapping your problem-solving process. Data, after all, is useful in identifying the scope and substance of your problems.

Collecting information on the exact details of the problem, however, is done to narrow the brainstorming portion to help you evaluate the outcomes later. Don’t overwhelm yourself with unnecessary information — use the problem statements that you identified in step one as a north star in your research process.

This stage should also include some planning. Ask yourself:

What parties will ultimately decide a solution?
Whose voices and ideas should be heard in the brainstorming process?
What resources are at your disposal for implementing a solution?

Establish a plan and timeline for steps 3-5.

3. Brainstorm Solutions

Brainstorming solutions is the bread and butter of the problem-solving process. At this stage, focus on generating creative ideas. As long as the solution directly addresses the problem statements and achieves your goals, don’t immediately rule it out.

Moreover, solutions are rarely a one-step answer and are more like a roadmap with a set of actions. As you brainstorm ideas, map out these solutions visually and include any relevant factors such as costs involved, action steps, and involved parties.

With Lean success in mind, stay focused on solutions that minimize waste and improve the flow of business ecosystems.

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4. Decide and Implement

The most critical stage is selecting a solution. Easier said than done. Consider the criteria that has arisen in previous steps as you decide on a solution that meets your needs.

Once you select a course of action, implement it.

Practicing due diligence in earlier stages of the process will ensure that your chosen course of action has been evaluated from all angles. Often, efficient implementation requires us to act correctly and successfully the first time, rather than being hurried and sloppy. Further compilations will create more problems, bringing you back to step 1.

5. Evaluate

Exercise humility and evaluate your solution honestly. Did you achieve the results you hoped for? What would you do differently next time?

As some experts note, formulating feedback channels into your evaluation helps solidify future success. A framework like Lean success, for example, will use certain key performance indicators (KPIs) like quality, delivery success, reducing errors, and more. Establish metrics aligned with company goals to assess your solutions.

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36 Problem-solving techniques, methods and tools

When it comes to solving problems, getting ideas is the easy part.

But businesses often forget the other four stages of the problem-solving process that will allow them to find the best solution.

Instead of jumping straight to idea generation, your problem-solving framework should look like this:

Identify the problem
Reveal why it has occurred
Brainstorm ideas
Select the best solution

See how idea generation doesn’t appear until stage 3?!

In this extensive resource, we provide techniques, methodologies and tools to guide you through every stage of the problem-solving process.

Once you’ve finished reading, you’ll possess an extensive problem-solving arsenal that will enable you to overcome your biggest workplace challenges.

11 Problem-solving techniques for clarity and confidence

Before we dive into more comprehensive methodologies for solving problems, there are a few basic techniques you should know.

The following techniques will set you up for a successful problem-solving session with your team, allowing you to take on your biggest challenges with clarity and confidence. ‍

1. Take a moment, take a breath

When a problem or challenge arises, it’s normal to act too quickly or rely on solutions that have worked well in the past. This is known as entrenched thinking.

But acting impulsively, without prior consideration or planning, can cause you to misunderstand the issue and overlook possible solutions to the problem.

Therefore, the first thing you should always do when you encounter a problem is: breathe in and out.

Take a step back and make a clear plan of action before you act. This will help you to take rational steps towards solving a problem. ‍

2. Ask questions to understand the full extent of the issue

Another common mistake people make when attempting to solve a problem is taking action before fully understanding the problem.

Before committing to a theory, ask enough questions to unearth the true root of the issue.

Later in this article, we cover The 5 Why’s problem-solving methodology which you can use to easily identify the root of your problem. Give this a go at your next meeting and see how your initial understanding of a problem can often be wrong. ‍

3. Consider alternative perspectives

A common problem-solving issue is that of myopia—a narrow-minded view or perception of the problem. Myopia can occur when you’re too involved with the problem or your team isn’t diverse enough.

To give yourself the best chance of resolving a problem, gain insight from a wide range of sources. Collaborate with key stakeholders, customers and on-the-ground employees to learn how the problem affects them and whether they have found workarounds or solutions.

To paint the broadest picture, don’t limit your problem-solving team to a specific archetype. Try to include everyone, from the chief executive to the office janitor.

If you’re working with a small team, try the Flip It! problem-solving methodology to view the issue from a fresh angle. ‍

4. Make your office space conducive to problem-solving

The environment in which your host your brainstorming sessions should maximise creativity . When your team members trust each other and feel relaxed, they’re more likely to come up with innovative ideas and solutions to a problem.

Here are a few ways to get your employees’ creative juices flowing:

Play team-building games that maximise trust and build interpersonal relationships
Improve your team’s problem-solving skills with games that encourage critical thinking
Redesign the office with comfortable furniture and collaborative spaces
Boost job satisfaction by creating a positive work-life balance
Improve collaborative skills and learn to resolve conflicts

World Café is a problem-solving method that creates a casual environment conducive to creative thinking.

Keep reading to learn more about how World Café can help your team solve complex organisational problems. ‍

5. Use problem-solving methodologies to guide the process

Because problem-solving is a creative process, it can be hard to keep it on track. As more ideas get banded around, conflicts can arise that derail the session.

That’s why problem-solving methodologies are so helpful. They offer you proven problem-solving frameworks to guide your group sessions and keep them on track.

The Six Thinking Hats problem-solving method is a popular technique that guides the process and helps your team analyse a problem from all angles.

We’re going to take a look at our favourite problem-solving methodologies in the next section of this article, XY Tried and tested problem-solving methodologies. ‍

6. Use analogies to solve complex problems

Sometimes, solving a different problem can help you uncover solutions to another problem!

By stripping back a complex issue and framing it as a simplified analogy , you approach a problem from a different angle, enabling you to come up with alternative ideas.

After solving practice problems, your team might be more aptly equipped to solve real-world issues.

However, coming up with an analogy that reflects your issue can be difficult, so don’t worry if this technique doesn’t work for you.

The Speed Boat diagram is a visual tool that helps your employees view existing challenges as anchors holding back a boat which represents your end goals. By assigning a “weight” to each anchor, your team can prioritise which issues to tackle first. ‍

7. Establish clear constraints

Constraints make a big problem more approachable.

Before you tackle a problem, establish clear boundaries and codes of conduct for the session. This allows your team to focus on the current issue without becoming distracted or veering off on a tangent.

In an article published in the Harvard Business Review, authors Oguz A. Acar, Murat Tarakci, and Daan van Knippenberg wrote, “Constraints … provide focus and a creative challenge that motivates people to search for and connect information from different sources to generate novel ideas for new products, services, or business processes.” (Why Constraints Are Good for Innovation, 2019)

Lightning Decision Jam is a prime example of how constraints can assist the creative process. Here, your team are given strict time constraints and isn’t permitted to discuss ideas until the end. ‍

8. Dislodge preconceived ideas

Humans are creatures of habit.

We defer to strategies that have produced positive results in the past. This is typically beneficial because recalling our previous successes means we don’t need to constantly re-learn similar tasks.

But when it comes to problem-solving, this way of thinking can trip us up. We become fixated on a solution that worked in the past, but when this fails we’re dismayed and left wondering what to do next.

To resolve problems effectively, your employees need to escape the precincts of their imaginations. This helps to eliminate functional fixedness—the belief that an item serves only its predefined function.

Alternative Application is an icebreaker game that encourages employees to think outside the box by coming up with different uses for everyday objects. Try this at your next meeting or team-building event and watch your team tap into their creativity. ‍

9. Level the playing field

Having a diverse group of employees at your brainstorming sessions is a good idea, but there’s one problem: the extroverted members of your team will be more vocal than the introverts.

To ensure you’re gaining insight from every member of your team, you need to give your quieter employees equal opportunities to contribute by eliminating personality biases.

Read more: What icebreaker games and questions work best for introverts?

The obvious solution, then, is to “silence” the louder participants (it’s not as sinister as it sounds, promise)—all you have to do is ban your team from debating suggestions during the ideation process.

The Lightning Decision Jam methodology gives your employees equal opportunities to contribute because much of the problem-solving process is carried out in silence. ‍

10. Take a break from the problem

Have you ever noticed how the best ideas seem to come when you’re not actively working on a problem? You may have spent hours slumped over your desk hashing out a solution, only for the “eureka!” moment to come when you’re walking your dog or taking a shower.

In James Webb Young’s book, A Technique for Producing Ideas , phase three of the process is “stepping away from the problem.” Young proclaims that after putting in the hard work, the information needs to ferment in the mind before any plausible ideas come to you.

So next time you’re in a meeting with your team trying to solve a problem, don’t panic if you don’t uncover groundbreaking ideas there and then. Allow everybody to mull over what they’ve learned, then reconvene at a later date.

The Creativity Dice methodology is a quick-fire brainstorming game that allows your team to incubate ideas while concentrating on another. ‍

11. Limit feedback sessions

The way your team delivers feedback at the end of a successful brainstorming session is critical. Left unsupervised, excessive feedback can undo all of your hard work.

Therefore, it’s wise to put a cap on the amount of feedback your team can provide. One great way of doing this is by using the One Breath Feedback technique.

By limiting your employees to one breath, they’re taught to be concise with their final comments.

16 Tried and tested problem-solving methodologies

Problem-solving methodologies keep your brainstorming session on track and encourage your team to consider all angles of the issue.

Countless methods have wiggled their way into the world of business, each one with a unique strategy and end goal.

Here are 12 of our favourite problem-solving methodologies that will help you find the best-fit solution to your troubles. ‍

12. Six Thinking Hats

Six Thinking Hats is a methodical problem-solving framework that helps your group consider all possible problems, causes, solutions and repercussions by assigning a different coloured hat to each stage of the problem-solving process.

The roles of each hat are as follows:

Blue Hat (Control): This hat controls the session and dictates the order in which the hats will be worn. When wearing the Blue Hat, your group will observe possible solutions, draw conclusions and define a plan of action.
Green Hat (Idea Generation): The Green Hat signifies creativity. At this stage of the methodology, your team will focus their efforts on generating ideas, imagining solutions and considering alternatives.
Red Hat (Intuition and Feelings): It’s time for your employees to communicate their feelings. Here, your team listen to their guts and convey their emotional impulses without justification.
Yellow Hat (Benefits and Values): What are the merits of each idea that has been put forward thus far? What positive impacts could they have?
Black or Grey Hat (Caution): What are the potential risks or shortcomings of each idea? What negative impacts could result from implicating each idea?
White Hat (Information and Data): While wearing The White Hat, your team must determine what information is needed and from where it can be obtained.

For Six Thinking Hats to work effectively, ensure your team acts within the confines of each role.

While wearing The Yellow Hat, for example, your team should only discuss the positives . Any negative implications should be left for the Black or Grey hat.

Note: Feel free to alter the hat colours to align with your cultural context. ‍

13. Lightning Decision Jam (LDJ)

Lightning Decision Jam is a nine-stage problem-solving process designed to uncover a variety of perspectives while keeping the session on track.

The process starts by defining a general topic like the internal design process, interdepartmental communication, the sales funnel, etc.

Then, armed with pens and post-it notes, your team will work through the nine stages in the following order:

Write problems (7 minutes)
Present problems (4 minutes/person)
Select problems (6 minutes)
Reframe the problems (6 minutes)
Offer solutions (7 minutes)
Vote on solutions (10 minutes)
Prioritise solutions (30 seconds)
Decide what to execute (10 minutes)
Create task lists (5 minutes)

The philosophy behind LDJ is that of constraint. By limiting discussion, employees can focus on compiling ideas and coming to democratic decisions that benefit the company without being distracted or going off on a tangent. ‍

14. The 5 Why’s

Root Cause Analysis (RCA) is the process of unearthing a problem and finding the underlying cause. To help you through this process, you can use The 5 Why’s methodology.

The idea is to ask why you’re experiencing a problem, reframe the problem based on the answer, and then ask “ why?” again. If you do this five times , you should come pretty close to the root of your original challenge.

While this might not be a comprehensive end-to-end methodology, it certainly helps you to pin down your core challenges. ‍

15. World Café

If you’ve had enough of uninspiring corporate boardrooms, World Café is the solution.

This problem-solving strategy facilitates casual conversations around given topics, enabling players to speak more openly about their grievances without the pressure of a large group.

Here’s how to do it:

Create a cosy cafe-style setting (try to have at least five or six chairs per table).
As a group, decide on a core problem and mark this as the session topic.
Divide your group into smaller teams by arranging five or six players at a table.
Assign each group a question that pertains to the session topic, or decide on one question for all groups to discuss at once.
Give the groups about 20 minutes to casually talk over each question.
Repeat this with about three or four different questions, making sure to write down key insights from each group.
Share the insights with the whole group.

World Café is a useful way of uncovering hidden causes and pitfalls by having multiple simultaneous conversations about a given topic. ‍

16. Discovery and Action Dialogue (DAD)

Discovery and Actions Dialogues are a collaborative method for employees to share and adopt personal behaviours in response to a problem.

This crowdsourcing approach provides insight into how a problem affects individuals throughout your company and whether some are better equipped than others.

A DAD session is guided by a facilitator who asks seven open-ended questions in succession. Each person is given equal time to participate while a recorder takes down notes and valuable insights.

This is a particularly effective method for uncovering preexisting ideas, behaviours and solutions from the people who face problems daily. ‍

17. Design Sprint 2.0

The Design Sprint 2.0 model by Jake Knapp helps your team to focus on finding, developing measuring a solution within four days . Because theorising is all well and good, but sometimes you can learn more by getting an idea off the ground and observing how it plays out in the real world.

Here’s the basic problem-solving framework:

Day 1: Map out or sketch possible solutions
Day 2: Choose the best solutions and storyboard your strategy going forward
Day 3: Create a living, breathing prototype
Day 4: Test and record how it performs in the real world

This technique is great for testing the viability of new products or expanding and fixing the features of an existing product. ‍

18. Open Space Technology

Open Space Technology is a method for large groups to create a problem-solving agenda around a central theme. It works best when your group is comprised of subject-matter experts and experienced individuals with a sufficient stake in the problem.

Open Space Technology works like this:

Establish a core theme for your team to centralise their efforts.
Ask the participants to consider their approach and write it on a post-it note.
Everybody writes a time and place for discussion on their note and sticks it to the wall.
The group is then invited to join the sessions that most interest them.
Everybody joins and contributes to their chosen sessions
Any significant insights and outcomes are recorded and presented to the group.

This methodology grants autonomy to your team and encourages them to take ownership of the problem-solving process. ‍

19. Round-Robin Brainstorming Technique

While not an end-to-end problem-solving methodology, the Round-Robin Brainstorming Technique is an effective way of squeezing every last ounce of creativity from your ideation sessions.

Here’s how it works:

Decide on a problem that needs to be solved
Sitting in a circle, give each employee a chance to offer an idea
Have somebody write down each idea as they come up
Participants can pass if they don’t have anything to contribute
The brainstorming session ends once everybody has passed

Once you’ve compiled a long list of ideas, it’s up to you how you move forward. You could, for example, borrow techniques from other methodologies, such as the “vote on solutions” phase of the Lightning Decision Jam. ‍

20. Failure Modes and Effects Analysis (FMEA)

Failure Modes and Effects Analysis is a method for preventing and mitigating problems within your business processes.

This technique starts by examining the process in question and asking, “What could go wrong?” From here, your team starts to brainstorm a list of potential failures.

Then, going through the list one by one, ask your participants, “Why would this failure happen?”

Once you’ve answered this question for each list item, ask yourselves, “What would the consequences be of this failure?”

This proactive method focuses on prevention rather than treatment. Instead of waiting for a problem to occur and reacting, you’re actively searching for future shortcomings. ‍

21. Flip It!

The Flip It! Methodology teaches your team to view their concerns in a different light and frame them instead as catalysts for positive change.

The game works like this:

Select a topic your employees are likely to be concerned about, like market demand for your product or friction between departments.
Give each participant a pile of sticky notes and ask them to write down all their fears about the topic.
Take the fears and stick them to an area of the wall marked “fears.”
Then, encourage your team to look at these fears and ask them to reframe them as “hope” by writing new statements on different sticky notes.
Take these “hope” statements and stick them to an area of the wall marked “hope.”
Discuss the statements, then ask them to vote on the areas they feel they can start to take action on. They can do this by drawing a dot on the corner of the sticky note.
Move the notes with the most votes to a new area of the wall marked “traction.”
Discuss the most popular statements as a group and brainstorm actionable items related to each.
Write down the actions that need to be made and discuss them again as a group.

This brainstorming approach teaches your employees the danger of engrained thinking and helps them to reframe their fears as opportunities. ‍

22. The Creativity Dice

The Creativity Dice teaches your team to incubate ideas as they focus on different aspects of a problem. As we mentioned earlier in the article, giving ideas time to mature can be a highly effective problem-solving strategy. Here’s how the game works:

Choose a topic to focus on, It can be as specific or open-ended as you like. Write this down as a word or sentence. Roll the die, start a timer of three minutes and start writing down ideas within the confines of what that number resembles. The roles of each number are as follows:

Specification: Write down goals you want to achieve.
Investigation: Write down existing factual information you know about the topic.
Ideation: Write down creative or practical ideas related to the topic.
Incubation: Do something else unrelated to the problem.
Iteration: Look at what you’ve already written and come up with related ideas (roll again if you didn’t write anything yet). ‍
Integration: Look at everything you have written and try to create something cohesive from your ideas like a potential new product or actionable next step.

Once you’ve finished the activity, review your findings and decide what you want to take with you. ‍

23. SWOT Analysis

The SWOT Analysis is a long-standing method for analysing the current state of your business and considering how this affects the desired end state.

The basic idea is this:

Before the meeting, come up with a “Desired end state” and draw a picture that represents this on a flipchart or whiteboard.
Divide a large piece of paper into quadrants marked “Strengths”, “Weaknesses”, “Opportunities” and “Threats.”
Starting with “Strengths”, work through the quadrants, coming up with ideas that relate to the desired end state.
Ask your team to vote for the statements or ideas of each category that they feel are most relevant to the desired end state.
As a group, discuss the implications that these statements have on the desired end state. Spark debate by asking thought-provoking and open-ended questions.

The SWOT Analysis is an intuitive method for understanding which parts of your business could be affecting your long-term goals. ‍

24. The Journalistic Six

When learning to cover every aspect of a story, journalists are taught to ask themselves six essential questions:

Now, this approach has been adopted by organisations to help understand every angle of a problem. All you need is a clear focus question, then you can start working through the six questions with your team until you have a 360-degree view of what has, can and needs to be done. ‍

25. Gamestorming

Gamestorming is a one-stop creative-thinking framework that uses various games to help your team come up with innovative ideas.

Originally published as a book 10 years ago, Gamestorming contained a selection of creative games used by Silicon Valley’s top-performing businesses to develop groundbreaking products and services.

This collection of resources, plucked from the minds of founders and CEOs like Jeff Bezos and Steve Jobs, allows you to tap into the potentially genius ideas lying dormant in the minds of your employees. ‍

26. Four-Step Sketch

The Four-Step Sketch is a visual brainstorming that provides an alternative to traditional discussion-based ideation techniques .

This methodology requires prior discussion to clarify the purpose of the activity. Imagine you’re on a startup retreat , for example, and your team is taking part in a design sprint or hackathon.

Once you’ve brainstormed a list of ideas with your team, participants can look at the suggestions and take down any relevant notes. They then take these notes and turn them into rough sketches that resemble the idea.

Then, as a warm-up, give each participant eight minutes to produce eight alternative sketches (eight minutes per sketch) of the idea. These ideas are not to be shared with the group.

Finally, participants create new sketches based on their favourite ideas and share them with the group. The group can then vote on the ideas they think offer the best solution. ‍

27. 15% Solutions

15% Solutions is a problem-solving strategy for motivating and inspiring your employees. By encouraging your team to gain small victories, you pave the way for bigger changes.

First, ask your participants to think about things they can personally do within the confines of their role.

Then, arrange your team into small groups of three to four and give them time to share their ideas and consult with each other.

This simple problem-solving process removes negativity and powerlessness and teaches your team to take responsibility for change.

9 Problem-solving tools for gathering and selecting ideas

Problem-solving tools support your meeting with easy-to-use graphs, visualisations and techniques.

By implementing a problem-solving tool, you break the cycle of mundane verbal discussion, enabling you to maintain engagement throughout the session. ‍

28. Fishbone Diagram

The Fishbone Diagram (otherwise known as the Ishikawa Diagram or Cause and Effect Diagram), is a tool for identifying the leading causes of a problem. You can then consolidate these causes into a comprehensive “Problem Statement.”

The term “Fishbone Diagram” is derived from the diagram’s structure. The problem itself forms the tail, possible causes radiate from the sides to form the fish skeleton while the final “Problem Statement” appears as the “head” of the fish.

Example: A fast-food chain is investigating the declining quality of their food. As the team brainstorms potential causes, they come up with reasons like “poorly trained personnel”, “lack of quality control”, and “incorrect quantity of spices.” Together with other causes, the group summarises that these problems lead to “bad burgers.” They write this as the Problem Statement and set about eliminating the main contributing factors. ‍

29. The Problem Tree

A Problem Tree is a useful tool for assessing the importance or relevance of challenges concerning the core topic. If you’re launching a new product, for example, gather your team and brainstorm the current issues, roadblocks and bottlenecks that are hindering the process.

Then, work together to decide which of these are most pressing. Place the most relevant issues closer to the core topic and less relevant issues farther away. ‍

30. SQUID Diagram

The Squid Diagram is an easy-to-use tool that charts the progress of ideas and business developments as they unfold. Your SQUID Diagram can remain on a wall for your team to add to over time.

Write down a core theme on a sticky note such as “customer service” or “Innovation”—this will be the “head” of your SQUID.
Hand two sets of different coloured sticky notes to your participants and choose one colour to represent “questions” and the other to represent “answers.”
Ask your team to write down questions pertaining to the success of the main topic. In the case of “Innovation,” your team might write things like “How can we improve collaboration between key stakeholders?”
Then, using the other coloured sticky notes, ask your team to write down possible answers to these questions. In the example above, this might be “Invest in open innovation software.”
Over time, you’ll develop a spawling SQUID Diagram that reflects the creative problem-solving process. ‍

31. The Speed Boat

The Speed Boat Diagram is a visual metaphor used to help your team identify and solve problems in the way of your goals.

Here’s how it works:

Draw a picture of a boat and name it after the core objective.
With your team, brainstorm things that are slowing progress and draw each one as an anchor beneath the boat.
Discuss possible solutions to each problem on the diagram.

This is an easy-to-use tool that sparks creative solutions. If you like, your team can assign a “weight” to each anchor which determines the impact each problem has on the end goal. ‍

32. The LEGO Challenge

LEGO is an excellent creative-thinking and problem-solving tool used regularly by event facilitators to help teams overcome challenges.

In our article 5 and 10-minute Team-Building Activities , we introduce Sneak a Peek —a collaborative team-building game that develops communication and leadership skills. ‍

33. The Three W’s: What? So What? Now What?

Teams aren’t always aligned when it comes to their understanding of a problem. While the problem remains the same for everyone, they might have differing opinions as to how it occurred at the implications it had.

Asking “ What? So What? Now What?” Helps you to understand different perspectives around a problem.

It goes like this:

Alone or in small groups, ask your employees to consider and write What happened. This should take between five and 10 minutes.
Then ask So What? What occurred because of this? Why was what happened important? What might happen if this issue is left unresolved?
Finally, ask your team Now What? What might be a solution to the problem? What actions do you need to take to avoid this happening again?

This approach helps your team understand how problems affect individuals in different ways and uncovers a variety of ways to overcome them. ‍

34. Now-How-Wow Matrix

Gathering ideas is easy—but selecting the best ones? That’s a different story.

If you’ve got a bunch of ideas, try the Now-How-Wow Matrix to help you identify which ones you should implement now and which ones should wait until later.

Simply draw a two-axis graph with “implementation difficulty” on the Y axis and “idea originality” on the X axis. Divide this graph into quadrants and write “Now!” in the bottom left panel, “Wow!” in the bottom right panel, and “How?” in the top right panel. You can leave the top left panel blank.

Then, take your ideas and plot them on the graph depending on their implementation difficulty and level of originality.

By the end, you’ll have a clearer picture of which ideas to ignore, which ones to implement now, and which ones to add to the pipeline for the future. ‍

35. Impact-Effort Matrix

The Impact-Effort Matrix is a variation of the Now-How-Wow Matrix where the Y axis is marked “Impact” and the X axis is marked “Effort.”

Then, divide the graph into quadrants and plot your ideas.

Top left section = Excellent, implement immediately
Top right section = Risky, but worth a try
Bottom left section = Low risk, but potentially ineffective
Bottom right section = Bad idea, ignore

The Impact-Effort Matrix is a simple way for your team to weigh the benefits of an idea against the amount of investment required. ‍

36. Dot Voting

Once you’ve gathered a substantial list of ideas from your employees, you need to sort the good from the bad.

Dot voting is a simple tool used by problem-solving facilitators as a fast and effective way for large groups to vote on their favourite ideas . You’ll have seen this method used in problem-solving methods like Flip It! and Lightning Decision Jam .

Participants write their ideas on sticky notes and stick them to the wall or a flipchart.
When asked, participants draw a small dot on the corner of the idea they like the most.
Participants can be given as many votes as necessary.
When voting ends, arrange the notes from “most popular” to “least popular.”

This provides an easy-to-use visual representation of the best and worst ideas put forward by your team.

Give your problems the attention they deserve at an offsite retreat

While working from home or at the office, your team is often too caught up in daily tasks to take on complex problems.

By escaping the office and uniting at an offsite location, you can craft a purposeful agenda of team-building activities and problem-solving sessions. This special time away from the office can prove invaluable when it comes to keeping your business on track.

If you have problems that need fixing (who doesn’t?), reach out to Surf Office and let us put together a fully-customised offsite retreat for you.

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Problem solving techniques: Steps and methods

Posted on May 29, 2019

Constant disruption has become a hallmark of the modern workforce and organisations want problem solving skills to combat this. Employers need people who can respond to change – be that evolving technology, new competitors, different models for doing business, or any of the other transformations that have taken place in recent years.

In addition, problem solving techniques encompass many of the other top skills employers seek . For example, LinkedIn’s list of the most in-demand soft skills of 2019 includes creativity, collaboration and adaptability, all of which fall under the problem-solving umbrella.

Despite its importance, many employees misunderstand what the problem solving method really involves.

What constitutes effective problem solving?

Effective problem solving doesn’t mean going away and coming up with an answer immediately. In fact, this isn’t good problem solving at all, because you’ll be running with the first solution that comes into your mind, which often isn’t the best.

Instead, you should look at problem solving more as a process with several steps involved that will help you reach the best outcome. Those steps are:

Define the problem
List all the possible solutions
Evaluate the options
Select the best solution
Create an implementation plan
Communicate your solution

Let’s look at each step in a little more detail.

It's important you take the time to brainstorm and consider all your options when solving problems.

1. Define the problem

The first step to solving a problem is defining what the problem actually is – sounds simple, right? Well no. An effective problem solver will take the thoughts of everyone involved into account, but different people might have different ideas on what the root cause of the issue really is. It’s up to you to actively listen to everyone without bringing any of your own preconceived notions to the conversation. Learning to differentiate facts from opinion is an essential part of this process.

An effective problem solver will take the opinions of everyone involved into account

The same can be said of data. Depending on what the problem is, there will be varying amounts of information available that will help you work out what’s gone wrong. There should be at least some data involved in any problem, and it’s up to you to gather as much as possible and analyse it objectively.

2. List all the possible solutions

Once you’ve identified what the real issue is, it’s time to think of solutions. Brainstorming as many solutions as possible will help you arrive at the best answer because you’ll be considering all potential options and scenarios. You should take everyone’s thoughts into account when you’re brainstorming these ideas, as well as all the insights you’ve gleaned from your data analysis. It also helps to seek input from others at this stage, as they may come up with solutions you haven’t thought of.

Depending on the type of problem, it can be useful to think of both short-term and long-term solutions, as some of your options may take a while to implement.

One of the best problem solving techniques is brainstorming a number of different solutions and involving affected parties in this process.

3. Evaluate the options

Each option will have pros and cons, and it’s important you list all of these, as well as how each solution could impact key stakeholders. Once you’ve narrowed down your options to three or four, it’s often a good idea to go to other employees for feedback just in case you’ve missed something. You should also work out how each option ties in with the broader goals of the business.

There may be a way to merge two options together in order to satisfy more people.

4. Select an option

Only now should you choose which solution you’re going to go with. What you decide should be whatever solves the problem most effectively while also taking the interests of everyone involved into account. There may be a way to merge two options together in order to satisfy more people.

5. Create an implementation plan

At this point you might be thinking it’s time to sit back and relax – problem solved, right? There are actually two more steps involved if you want your problem solving method to be truly effective. The first is to create an implementation plan. After all, if you don’t carry out your solution effectively, you’re not really solving the problem at all.

Create an implementation plan on how you will put your solution into practice. One problem solving technique that many use here is to introduce a testing and feedback phase just to make sure the option you’ve selected really is the most viable. You’ll also want to include any changes to your solution that may occur in your implementation plan, as well as how you’ll monitor compliance and success.

6. Communicate your solution

There’s one last step to consider as part of the problem solving methodology, and that’s communicating your solution . Without this crucial part of the process, how is anyone going to know what you’ve decided? Make sure you communicate your decision to all the people who might be impacted by it. Not everyone is going to be 100 per cent happy with it, so when you communicate you must give them context. Explain exactly why you’ve made that decision and how the pros mean it’s better than any of the other options you came up with.

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What is Problem Solving? Process, Techniques, Examples

Home Blog others What is Problem Solving? Process, Techniques, Examples

Whether tackling a technical issue at work or finding our way around a roadblock unnoticed by Google Maps, problem-solving is a daily occurrence for most people. But how prepared are you to overcome life's challenges? Do you rely on a structured process to ensure successful outcomes, or do you navigate through problems impulsively?

Here's the crux: the strength of your problem-solving skills significantly impacts the ease and success of your life, both professionally and personally. Practical problem-solving is a valuable career and life skill. You're in the right place if you're eager to enhance your problem-solving abilities efficiently.

In this blog post, I will delve into what is problem solving the steps, techniques, and exercises of the problem-solving process. Whether seeking to troubleshoot technical issues or navigate life's complexities, mastering organized problem-solving can elevate your capabilities and lead to more favorable outcomes.

What is Problem Solving? And Its Importance

First, let me help you understand what is problem solving. Problem-solving is a comprehensive process involving identifying issues, prioritizing based on urgency and severity, analyzing root causes, gathering pertinent Information, devising and assessing solutions, making informed decisions, and planning and executing implementation strategies.

This skill set also encompasses critical thinking, effective communication, active listening, creativity, research, data analysis, risk assessment, continuous learning, and decision-making abilities. Effective problem-solving strategies mitigate potential losses or damages and enhance self-confidence and reputation. Problem-solving is essential in personal and professional contexts as it allows individuals and teams to navigate obstacles, make informed decisions, and drive progress.

Importance:

Enhances Decision-Making: Effective problem solving leads to better decision-making by evaluating various options and selecting the most suitable solution.
Promotes Innovation: Problem solving encourages innovation and creativity as individuals seek new approaches to tackle challenges.
Improves Efficiency: By resolving issues efficiently, problem solving helps streamline processes and optimize resource allocation.
Builds Resilience: Successfully overcoming obstacles builds confidence and resilience, enabling
individuals and teams to tackle future challenges with greater confidence.

Problem-solving Process

Now that we have a clear understanding of the problem solving definition as to what is problem solving let us now navigate the problem solving process. Effective problem-solving is a valuable skill sought after by employers in various fields. Here's a breakdown of a common problem-solving process, presented in a pointwise manner:

1. Identifying the Problem

The first step in the problem-solving process is clearly defining the issue. This involves gathering relevant Information, observing patterns or trends, and understanding the impact of the problem on stakeholders.

2. Analyzing the Situation

Once the problem is identified, it's essential to analyze its root causes and contributing factors. This may involve conducting research, gathering data, and exploring different perspectives to comprehensively understand the situation.

3. Generating Solutions

With a clear understanding of the problem solving methods, brainstorming potential solutions is the next step. Encouraging creativity and considering various alternatives can lead to innovative ideas. Evaluating each solution based on feasibility, effectiveness, and alignment with goals and values is crucial.

4. Evaluating Options

After generating a list of potential solutions, it's essential to carefully evaluate each option. This involves weighing the pros and cons, considering potential risks and benefits, and assessing the likelihood of success. Consulting with relevant stakeholders or experts can provide valuable insights during this stage.

5. Selecting the Best Solution

Based on the evaluation, one or more solutions are the most viable options. It's essential to prioritize solutions that address the root cause of the problem and have the most significant potential for long-term success. Communicating the chosen solution effectively to stakeholders is crucial for garnering support and buy-in.

6. Implementing the Solution

Once a solution is selected, it's time to put it into action. This involves developing a detailed action plan, allocating resources, and assigning responsibilities. Effective communication, coordination, and monitoring are essential during the implementation phase to ensure smooth execution and timely resolution of the problem.

7. Monitoring and Reviewing

After implementing the solution, it's essential to monitor its progress and evaluate its effectiveness over time. This may involve collecting feedback, analyzing performance metrics, and making adjustments as needed. Continuous monitoring and review allow for ongoing improvement and refinement of the problem-solving process.

How to Solve Problems in 5 Simple Steps?

Here's a breakdown of the 5 problem-solving steps for your understanding:

1. Define the Problem (Understand & Gather Information)

Identify the Issue: Clearly understand what the problem is. What isn't working, or what needs improvement?
Gather Information: Talk to people involved, collect data, and research relevant details to get a well-rounded picture of the situation.
Ask Why? Don't just focus on symptoms. Ask "why" several times to identify the root cause of the problem.

Example: Let's say customer complaints about slow website loading times have increased.

2. Brainstorm Solutions (Think Creatively & Be Open-Minded)

Think Outside the Box: Don't settle for the first solution that comes to mind. Brainstorm a variety of options, even seemingly unconventional ones.
Consider All Angles: Evaluate the problem from different perspectives. What are potential solutions from a technical standpoint? From a user experience point of view?
Build on Ideas: Don't shut down ideas prematurely. Encourage others to build upon and refine suggestions collaboratively.

Example: Potential solutions for slow website loading times could include optimizing images, upgrading server capacity, or implementing a content delivery network (CDN).

3. Evaluate & Choose a Solution (Consider Feasibility & Impact)

Weigh the Pros & Cons: Analyze the feasibility, resource requirements, and potential risks and benefits of each solution.
Align with Goals: Ensure the chosen solution directly addresses the root cause of the problem and aligns with your overall objectives.
Prioritize Impact: Choose the solution with the most significant potential to achieve a positive outcome and lasting improvement.

Example: Upgrading server capacity might be a very effective solution, but it could be expensive. Optimizing images is a more feasible solution that could yield significant improvement.

4. Implement the Solution (Take Action & Communicate Clearly)

Develop a Plan: Create a clear action plan outlining the steps involved in implementing the chosen solution. Assign tasks and set deadlines.
Communication is Key: Clearly communicate the plan to everyone involved, including stakeholders and team members.
Monitor Progress: Track the implementation process and make adjustments as needed based on the results.

Example: The website optimization plan might involve tasks like image resizing, code minification, and implementing caching mechanisms.

5. Evaluate the Outcome (Learn & Adapt)

Measure Success: Assess whether the implemented solution effectively resolved the problem. Did it meet your goals?
Lessons Learned: Reflect on what worked well and what could be improved during the problem-solving process.
Continuous Improvement: Use this experience to refine your problem-solving approach and enhance your skills for future challenges. Enroll in free online certification courses for professional development and skill enhancement.

Example: After website optimization, monitor website loading times and customer feedback to see if the issue has been resolved. If not, repeat the process, considering new solutions based on the learnings from this attempt.

Remember, problem-solving is an iterative process. Be prepared to adapt your approach as you gather more Information and evaluate the effectiveness of your solutions.

Essential Things to Consider in Each of the Problem-solving Steps

Creative problem solving requires careful consideration at each stage. Here are vital things to focus on:

1. Identifying & Defining the Problem

Gather Information: Consult stakeholders, review data, and gain insights from various perspectives.
Identify Root Cause: Address the underlying reason, not just symptoms.
Define Scope: Clearly outline the problem's boundaries to maintain focus.

2. Analyzing the Problem

Consider Multiple Perspectives: Explore diverse angles to uncover potential factors.
Brainstorm Freely: Foster creativity without judgment to generate innovative ideas.
Analyze Impact: Evaluate the severity and consequences of the problem if left unresolved.
Think Creatively: Explore unconventional solutions beyond initial ideas.
Consider Feasibility: Assess the practicality and resource requirements of each option.
Identify Potential Risks & Benefits: Weigh the pros and cons to select the most balanced approach.

4. Evaluating and Selecting a Solution

Align with Goals: Ensure the chosen solution addresses the core issue and aligns with objectives.
Consider Long-Term Impact: Choose solutions with lasting benefits beyond immediate results.
Team Input: Involve team members to gain diverse perspectives during evaluation.

5. Implementing the Solution

Develop a Clear Plan: Outline implementation steps with clear timelines and responsibilities.
Communication is Key: Ensure all stakeholders understand the plan to facilitate smooth execution.
Monitor Progress: Track implementation and adjust as needed based on results.

6. Evaluating the Outcome

Measure Effectiveness: Assess if the solution effectively resolves the problem or needs refinement.
Lessons Learned: Identify successes and areas for improvement to enhance future problem-solving efforts.

Problem Solving Examples

Let us look at problem solving example scenarios in a typical workplace: , example 1: project deadline challenge .

Situation: You're a project manager leading a team that is developing a new marketing campaign website. The launch date is approaching, but a critical developer is unexpectedly out sick for a week.
Action: You immediately assess the workload and delegate tasks among the remaining team members. You identify an opportunity to streamline a design element, reducing development time. You also reach out to a freelancer with a proven track record to fill in for the missing developer on specific tasks.
Result: The team successfully launches the website on time and within budget. The streamlined design element is praised by stakeholders for its user-friendliness.
Highlight: This example showcases your problem-solving skills, leadership, adaptability, and ability to manage resources effectively under pressure.

Example 2: Client Communication Breakdown

Situation: You're a Customer Service Representative for an e-commerce company. A regular customer expresses extreme dissatisfaction with a recent purchase due to a malfunctioning product and a negative experience with a previous representative.
Action: You actively listen to the customer's concerns, apologizing for the inconvenience. You then troubleshoot the product issue and offer a solution (replacement or refund). Additionally, you acknowledge the previous negative experience and offer to ensure better communication going forward.
Result: The customer is satisfied with the resolution and expresses appreciation for your attentiveness and problem-solving approach. They remain a loyal customer of the company.
Highlight: This example demonstrates your active listening skills, empathy, ability to de-escalate situations, and commitment to customer satisfaction.

By following these examples of problem-solving skills, you can effectively tackle challenges and achieve successful outcomes. Also, explore KnowledgeHut’ s best online courses for further skill enhancement.

Problem Solving Techniques

Effective problem-solving techniques are essential for tackling challenges and achieving desired outcomes. Here are some problem solving tools and techniques commonly used in problem-solving:

Brainstorming : Encourages the generation of a wide range of ideas and solutions in a non-judgmental environment. This technique promotes creativity and can uncover innovative approaches to problems.
Root Cause Analysis : Focuses on identifying the underlying causes of a problem rather than just addressing its symptoms. By pinpointing root causes, solutions can be targeted more effectively to prevent recurrence.
Fishbone Diagram (Ishikawa Diagram): Provides a visual representation of the various factors contributing to a problem, categorized into branches such as people, process, equipment, environment, and management. This technique helps analyze complex issues and identify potential causes.
SWOT Analysis : Evaluates the strengths, weaknesses, opportunities, and threats associated with a problem or situation. This technique helps assess the internal and external factors influencing the problem and guides decision-making.
Pareto Analysis: Focuses on identifying and prioritizing the most significant causes contributing to a problem. By allocating resources to address the vital few rather than the trivial many, this technique maximizes impact and efficiency.
5 Whys : Involves asking "why" repeatedly to trace the root cause of a problem. This iterative questioning technique helps uncover more profound layers of causation beyond surface-level symptoms.
Decision Matrix Analysis: Helps evaluate multiple options by systematically comparing their pros and cons against predetermined criteria. This technique facilitates objective decision-making by considering various factors and their relative importance.

By incorporating these problem-solving techniques in the workplace, you can approach problems systematically, generate creative solutions, and develop a well-rounded plan for achieving success.

Conquering challenges is a key to professional success, and practical problem-solving equips you to do just that. By following a structured approach, you can transform from a bystander to a solution-oriented individual. This involves gathering Information to clearly define the problem and identify its root cause. Analyzing the situation from various angles and brainstorming freely unlock creative solutions. Evaluating potential solutions ensures you choose the one that aligns with your goals and is feasible to implement. Clear communication and a well-defined plan are crucial for successful execution. Finally, reflecting on the outcome allows you to learn and continuously improve your problem-solving skills, making you an invaluable asset in any environment.

Frequently Asked Questions (FAQs)

The best method involves identifying the problem, brainstorming solutions, evaluating options, implementing the chosen solution, and assessing outcomes for improvement.

The principles include defining the problem, generating alternatives, evaluating options, implementing solutions, and reviewing outcomes for continuous improvement.

Different types include analytical problem-solving, creative problem-solving, critical thinking, decision-making, and systematic problem-solving.

The significant elements include understanding the problem, devising a plan, executing the plan, and evaluating the results.

The skills encompass critical thinking, decision-making, and analytical reasoning. These abilities aid in identifying, analyzing, and resolving problems effectively.

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7 Problem-Solving Skills That Can Help You Be a More Successful Manager

Discover what problem-solving is, and why it's important for managers. Understand the steps of the process and learn about seven problem-solving skills.

[Featured Image]: A manager wearing a black suit is talking to a team member, handling an issue utilizing the process of problem-solving

1Managers oversee the day-to-day operations of a particular department, and sometimes a whole company, using their problem-solving skills regularly. Managers with good problem-solving skills can help ensure companies run smoothly and prosper.

If you're a current manager or are striving to become one, read this guide to discover what problem-solving skills are and why it's important for managers to have them. Learn the steps of the problem-solving process, and explore seven skills that can help make problem-solving easier and more effective.

What is problem-solving?

Problem-solving is both an ability and a process. As an ability, problem-solving can aid in resolving issues faced in different environments like home, school, abroad, and social situations, among others. As a process, problem-solving involves a series of steps for finding solutions to questions or concerns that arise throughout life.

The importance of problem-solving for managers

Managers deal with problems regularly, whether supervising a staff of two or 100. When people solve problems quickly and effectively, workplaces can benefit in a number of ways. These include:

Greater creativity

Higher productivity

Increased job fulfillment

Satisfied clients or customers

Better cooperation and cohesion

Improved environments for employees and customers

7 skills that make problem-solving easier

Companies depend on managers who can solve problems adeptly. Although problem-solving is a skill in its own right, a subset of seven skills can help make the process of problem-solving easier. These include analysis, communication, emotional intelligence, resilience, creativity, adaptability, and teamwork.

1. Analysis

As a manager , you'll solve each problem by assessing the situation first. Then, you’ll use analytical skills to distinguish between ineffective and effective solutions.

2. Communication

Effective communication plays a significant role in problem-solving, particularly when others are involved. Some skills that can help enhance communication at work include active listening, speaking with an even tone and volume, and supporting verbal information with written communication.

3. Emotional intelligence

Emotional intelligence is the ability to recognize and manage emotions in any situation. People with emotional intelligence usually solve problems calmly and systematically, which often yields better results.

4. Resilience

Emotional intelligence and resilience are closely related traits. Resiliency is the ability to cope with and bounce back quickly from difficult situations. Those who possess resilience are often capable of accurately interpreting people and situations, which can be incredibly advantageous when difficulties arise.

5. Creativity

When brainstorming solutions to problems, creativity can help you to think outside the box. Problem-solving strategies can be enhanced with the application of creative techniques. You can use creativity to:

Approach problems from different angles

Improve your problem-solving process

Spark creativity in your employees and peers

6. Adaptability

Adaptability is the capacity to adjust to change. When a particular solution to an issue doesn't work, an adaptable person can revisit the concern to think up another one without getting frustrated.

7. Teamwork

Finding a solution to a problem regularly involves working in a team. Good teamwork requires being comfortable working with others and collaborating with them, which can result in better problem-solving overall.

Steps of the problem-solving process

Effective problem-solving involves five essential steps. One way to remember them is through the IDEAL model created in 1984 by psychology professors John D. Bransford and Barry S. Stein [ 1 ]. The steps to solving problems in this model include: identifying that there is a problem, defining the goals you hope to achieve, exploring potential solutions, choosing a solution and acting on it, and looking at (or evaluating) the outcome.

1. Identify that there is a problem and root out its cause.

To solve a problem, you must first admit that one exists to then find its root cause. Finding the cause of the problem may involve asking questions like:

Can the problem be solved?

How big of a problem is it?

Why do I think the problem is occurring?

What are some things I know about the situation?

What are some things I don't know about the situation?

Are there any people who contributed to the problem?

Are there materials or processes that contributed to the problem?

Are there any patterns I can identify?

2. Define the goals you hope to achieve.

Every problem is different. The goals you hope to achieve when problem-solving depend on the scope of the problem. Some examples of goals you might set include:

Gather as much factual information as possible.

Brainstorm many different strategies to come up with the best one.

Be flexible when considering other viewpoints.

Articulate clearly and encourage questions, so everyone involved is on the same page.

Be open to other strategies if the chosen strategy doesn't work.

Stay positive throughout the process.

3. Explore potential solutions.

Once you've defined the goals you hope to achieve when problem-solving , it's time to start the process. This involves steps that often include fact-finding, brainstorming, prioritizing solutions, and assessing the cost of top solutions in terms of time, labor, and money.

4. Choose a solution and act on it.

Evaluate the pros and cons of each potential solution, and choose the one most likely to solve the problem within your given budget, abilities, and resources. Once you choose a solution, it's important to make a commitment and see it through. Draw up a plan of action for implementation, and share it with all involved parties clearly and effectively, both verbally and in writing. Make sure everyone understands their role for a successful conclusion.

5. Look at (or evaluate) the outcome.

Evaluation offers insights into your current situation and future problem-solving. When evaluating the outcome, ask yourself questions like:

Did the solution work?

Will this solution work for other problems?

Were there any changes you would have made?

Would another solution have worked better?

As a current or future manager looking to build your problem-solving skills, it is often helpful to take a professional course. Consider Improving Communication Skills offered by the University of Pennsylvania on Coursera. You'll learn how to boost your ability to persuade, ask questions, negotiate, apologize, and more.

You might also consider taking Emotional Intelligence: Cultivating Immensely Human Interactions , offered by the University of Michigan on Coursera. You'll explore the interpersonal and intrapersonal skills common to people with emotional intelligence, and you'll learn how emotional intelligence is connected to team success and leadership.

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Article sources

Tennessee Tech. “ The Ideal Problem Solver (2nd ed.) , https://www.tntech.edu/cat/pdf/useful_links/idealproblemsolver.pdf.” Accessed December 6, 2022.

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This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Unlock Your Inner Genius: 10 Creative Problem-Solving Techniques You Need to Try Today

By Nick Jain

Published on: March 24, 2024

Creative problem-solving techniques are essential skills that can help you overcome difficult challenges and find innovative solutions to complex problems. Whether you’re struggling with a personal or professional problem, there are several techniques you can use to unlock your inner genius and tap into your creative problem-solving abilities. In this blog post, we’ll explore 10 creative problem-solving techniques you need to try today.

10 Creative Problem-solving Techniques

1. brainstorming.

Brainstorming remains a classic method for rapidly generating a plethora of ideas, creating an atmosphere devoid of judgment. This technique can be used individually or in a group setting, and it can help you generate a wide range of potential solutions to a problem. To conduct a brainstorming session, simply write down as many ideas as possible in a short amount of time. Don’t worry about whether the ideas are good or bad; just get them out there.

2. Mind Mapping

Mind mapping serves as a visual method to assist in structuring and organizing thoughts and ideas. To create a mind map, start with a central idea or problem and then draw branches that represent different potential solutions or approaches. Each branch can be further subdivided into sub-branches, creating a visual map of your thoughts and ideas.

3. Design Thinking

Design thinking is a human-centered approach to problem-solving that focuses on understanding the needs and perspectives of the people affected by the problem. The process comprises five pivotal stages: empathize, define, ideate, prototype, and test. By using design thinking, you can approach problem-solving in a systematic and human-centered way that can lead to more effective and innovative solutions.

4. Reverse Thinking

Reverse thinking entails reversing the approach to a problem by examining it from a different perspective in order to find an innovative solution. For example, instead of trying to solve the problem of how to increase sales, you might ask yourself how to decrease sales or even eliminate the need for sales altogether. This technique can help you break out of your usual way of thinking and find creative solutions that you might not have considered otherwise.

Using analogies can be a powerful way to approach problem-solving. Analogies involve comparing a problem to something else and then using the similarities to generate potential solutions. For example, if you’re trying to solve a problem with your website’s user interface, you might compare it to a car dashboard and then use the similarities to generate ideas for improvement.

6. Random Word

The random word technique involves selecting a random word and then using it as a starting point for generating ideas. For example, if you select the word “tree,” you might brainstorm potential solutions that involve growth, roots, branches, or leaves. This technique can help you think outside the box and generate creative ideas that you might not have considered otherwise.

7. Role-Playing

Role-playing can be a fun and effective way to approach problem-solving. This technique involves assuming different personas and then brainstorming potential solutions from each person’s perspective. For example, if you’re trying to solve a problem with a customer service issue, you might role-play as a customer, a customer service representative, and a manager to generate potential solutions from each perspective.

8. Six Thinking Hats

The six-thinking hats technique involves approaching a problem from six different perspectives, each represented by a different colored hat. In this context, the white hat symbolizes facts and data, the red hat signifies emotions and feelings, the black hat embodies critical thinking and caution, the yellow hat represents optimism and positivity, the green hat embodies creativity and new ideas, while the blue hat is indicative of process and organization. By approaching a problem from multiple perspectives, you can generate a wide range of potential solutions.

9. Visualization

Visualization involves mentally imagining potential solutions to a problem. This technique can be particularly effective when combined with relaxation techniques such as deep breathing or meditation. To use visualization, imagine yourself in a future state where the problem has been solved and then work backward to determine the steps needed to reach that outcome.

10. Forced Connections

Forced connections involve randomly connecting seemingly unrelated ideas to generate potential solutions. For instance, when tackling a problem in product design, a method could involve randomly choosing two unrelated items and then generating potential solutions that amalgamate elements from both. This technique can help you generate creative and unexpected solutions.

Creative problem-solving techniques can help you to overcome difficult challenges and unlock your inner genius. By exploring a variety of different techniques, such as brainstorming, mind mapping, and the SCAMPER method, you can approach problems from new angles and discover innovative solutions. Using the design thinking approach can also help you to focus on the human element of problem-solving, which can lead to more effective and impactful solutions. By incorporating these techniques into your problem-solving process, you can become a more creative and effective problem-solver. So go ahead and try these techniques today, and unlock your inner genius in the process.

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4 Problem Solving Techniques: How to Solve Problems at Work

Table of Contents

Problems are nothing but wake-up calls for creativity. —Gerhard Gschwandtner

All life is problem solving. —Karl Popper

W hen you think about it, most jobs are all about problem solving.

Customers or clients have a problem, and it’s up to the business and employees to solve it.

These problems can be relatively simple (“I am hungry and need something good to eat”) or very complicated (“ I don’t know what to do with my life , and I need someone to teach me”).

No matter where you end up working in the future, knowing how to tackle and solve problems will serve you well.

In fact, problem solving is one of the most important soft skills for a lot of employers—which means that if you hone your ability to solve complex problems efficiently and intelligently, it will be much easier to get ahead in your career.

And if you ever plan to start your own business , you better believe your problem solving skills will come in handy.

Here’s the catch: There is no single problem solving method that can be applied to every issue you’ll encounter at work. Different issues require different solutions.

In this article, I’m going to show you some of the most common problem solving techniques and how you can start applying them to your work (or day-to-day life) right away.

1. Rubber duck problem solving

In software engineering, rubber duck debugging or rubber ducking is a method of debugging code.

The name references to a story in the book The Pragmatic Programmer, where a programmer would carry around a rubber duck and debug their code by forcing themselves to explain it, line-by-line, to the duck.

Many other terms exist for this technique, often involving different inanimate objects. Still, the point is the same: Taking the time to explain your problem out loud—to a rubber duck, your dog, or just yourself—is a good way to see the problem from a new angle and eventually solve it. If talking out loud to yourself doesn’t work for you, you can also try writing out the problem in detail.

The key is to slow down and think your way through the problem before you run to someone else for a solution.

Your future bosses will love you for this. When you encounter a problem at your job, if you work through it and think of solutions before bringing it up to your boss, you’ll be practicing the fine art of managing up . (Another great way to advance your career.)

The critical part of rubber duck problem solving is to commit to asking thorough, detailed questions of an imaginary person or inanimate object .

Try this process:

1. Describe the problem in detail. Imagine how you’d explain the issue to a friend or colleague. Don’t think about solutions yet—just get the issue all laid out.

2. Explain what you’ve already discovered. Assuming you’ve already researched the issue, explain everything you already know that will factor into a solution.

3. List out the questions you still have. Now explain to the inanimate object where there’s missing information—what don’t you know or understand that prevents you from getting to the root of the problem?

4. Explain why some solutions won’t work. What solutions to your problem can be ruled out because they won’t work? What have you tried already, and why didn’t it work out?

Now take a break, and come back to read over your notes. If you haven’t already, you’ll probably be struck by a few ideas (and maybe even full solutions) that you didn’t think of previously.

2. Lateral thinking

Here’s a common brainteaser, originated in Shane Snow’s book Smartcuts :

“Pretend you are driving a car in the middle of a thunderstorm, and you happen upon three people on the side of the road.

One of them is a frail old woman who looks on the verge of collapse. Another is a friend who once saved your life. The other is the romantic interest of your dreams, and this is a once-in-a-lifetime opportunity to meet them.

You have only one other seat in the car.

Who do you pick up?

There’s a good reason to choose any of the three.

The old woman needs help.

The friend deserves your payback.

And clearly, a happy future with the person of your dreams will have an enormous long-term impact on your life.

So, who should you pick?

[Dramatic pause]

The old woman, of course. Then, give the car keys to your friend, and stay behind with the romantic interest to wait for the bus! ”

This puzzle is one of the greatest examples of the problem solving method known as lateral thinking. That’s a fancy term for using creative, unexpected solutions to solve a problem, rather than more traditional and pragmatic methods.

Lateral thinking can be tricky because it requires you to cast aside assumptions (and it’s not always easy to know when you have made an assumption).

But if you’re able to do that, then new solutions to the problem you’re facing will emerge. In the example above, you may have assumed that you can only put one person in your car or that only you can drive your car. Remove these assumptions, and suddenly the problem is much easier to see.

So how do you put this into practice? Let’s use a work-related example.

Imagine your boss has put you in charge of a project that requires you to coordinate meetings between the marketing team and the tech support team.

But there’s a problem: The marketing team is in Dubai, and the tech support team is in Dallas. There are over 100 people on those two teams, and there’s no easy way to get them in the same room, let alone the same time zone.

That problem might seem impossible until you pause and consider some of the assumptions already being made:

Assumption 1: The meetings have to be held in person.

Assumption 2: The meetings have to happen live.

Assumption 3: All team members have to be present for all meetings.

Assumption 4: These meetings are necessary to complete the project.

Now, take each of these assumptions, and see what happens when you take them out of the equation.

What would happen if the meetings were held virtually? Or using collaboration software?

Could you pre-record some of the sessions to cut down on meetings?

What if your company flew a few representatives from each team to a central location rather than making everyone travel?

What if you skipped these meetings altogether, and instead…

You get the idea. The more assumptions you can find in the problem, as you’ve approached it, the more solutions you can come up with until you find the right one.

3. Trial and error

So far, the tactics on this list have required you to be patient and thoughtful, but the problem solving method commonly known as trial and error is far more action-oriented (even if it is more tedious and time-consuming).

When you take the trial and error approach, you commit to simply going ahead and trying different options to solve any given problem. When one fails, you stop and start over with another option.

The trial and error method is incredibly common, and you may sometimes make use of it without realizing it. For example, let’s imagine you’re starting a new job, and you’re trying to find the most efficient way to get there on time.

The first day you walk through the park…

The next day you take your bike…

Then you try the bus route…

Eventually, you’ve tried every option (that’s the trial) and discovered which ones take too long (that’s the error).

A word of warning: Stay away from this method if your situation has too many options because it won’t be feasible to test every single solution. Depending on the task, trial and error can either be the fastest way to do something or the slowest. So, think carefully before you decide this is how you want to solve a problem.

While the trial and error approach affords you numerous chances to find a solution, it’s not meant to help you learn why something works a certain way. That being said, the underlying cause can often reveal itself once you hit on the right solution.

So who uses this technique?

Chemists. It’s how they discover new drugs, such as antibiotics. They simply try chemicals randomly until they find one with the desired effect.
Gamers. Video game players often use trial and error to succeed in a game.
Sports teams. They use it to qualify for and/or progress through the playoffs and win the championship by testing different tactics—plays, lineups, and formations—to defeat everyone along the way to victory. This is especially crucial in playoff series in which multiple wins are required to advance. A team that loses a game will have the opportunity to try new tactics to find a way to win, if they are not eliminated.
Scientists. The scientific method is regarded as a trial and error strategy because scientists create and test hypotheses.

4. The 5 Whys

If you have little siblings or have spent time babysitting, then you’ll be familiar with how infuriating the question, “Why?” can be.

But there’s a reason little kids are constantly asking why . They’re relatively new here on planet Earth, and there are A LOT of problems to understand and solve!

Asking “why” is one of the most effective ways to solve a tricky problem, and it’s even been developed into an official problem solving technique known as “The 5 Whys.”

The concept was originally developed by Sakichi Toyoda, for the Toyota Industries Corporation, according to a report from Asian Development Bank .

Unlike the trial and error problem solving method, “The 5 Whys” is all about getting to the very root cause of any given issue, so you can solve it once and for all.

The concept is pretty simple. You take any given problem, and you ask yourself, “Why is this problem happening?”

From there, you ask, “Why is that problem happening?”

As you follow this line of questioning, you’ll eventually come to a point where you can no longer ask “why” and still get a meaningful answer. When that happens, you know you’ve found the root cause of the issue—and discovering that is half the battle in finding a solution.

Face problems head-on

Look at your problems as fun puzzles that always have a solution, no matter how hard it may be to find it.

By not bugging your co-workers or boss and solving problems yourself, you’ll become the most loved problem solver in the office.

You’re welcome. 😉

Hi there! Such a wonderful write-up, thanks!

You’re welcome – glad you enjoyed it!

Thanks for giving us important information

You’re welcome – glad it was helpful!

very help full boss

Glad to hear it!

Thanks so much. This’s so helpful.

You’re welcome!

thanks for the good subject

Glad you enjoyed it!

3 Simple Strategies to Improve Students’ Problem-Solving Skills

These strategies are designed to make sure students have a good understanding of problems before attempting to solve them.

Research provides a striking revelation about problem solvers. The best problem solvers approach problems much differently than novices. For instance, one meta-study showed that when experts evaluate graphs , they tend to spend less time on tasks and answer choices and more time on evaluating the axes’ labels and the relationships of variables within the graphs. In other words, they spend more time up front making sense of the data before moving to addressing the task.

While slower in solving problems, experts use this additional up-front time to more efficiently and effectively solve the problem. In one study, researchers found that experts were much better at “information extraction” or pulling the information they needed to solve the problem later in the problem than novices. This was due to the fact that they started a problem-solving process by evaluating specific assumptions within problems, asking predictive questions, and then comparing and contrasting their predictions with results. For example, expert problem solvers look at the problem context and ask a number of questions:

What do we know about the context of the problem?
What assumptions are underlying the problem? What’s the story here?
What qualitative and quantitative information is pertinent?
What might the problem context be telling us? What questions arise from the information we are reading or reviewing?
What are important trends and patterns?

As such, expert problem solvers don’t jump to the presented problem or rush to solutions. They invest the time necessary to make sense of the problem.

Now, think about your own students: Do they immediately jump to the question, or do they take time to understand the problem context? Do they identify the relevant variables, look for patterns, and then focus on the specific tasks?

If your students are struggling to develop the habit of sense-making in a problem- solving context, this is a perfect time to incorporate a few short and sharp strategies to support them.

3 Ways to Improve Student Problem-Solving

1. Slow reveal graphs: The brilliant strategy crafted by K–8 math specialist Jenna Laib and her colleagues provides teachers with an opportunity to gradually display complex graphical information and build students’ questioning, sense-making, and evaluating predictions.

For instance, in one third-grade class, students are given a bar graph without any labels or identifying information except for bars emerging from a horizontal line on the bottom of the slide. Over time, students learn about the categories on the x -axis (types of animals) and the quantities specified on the y -axis (number of baby teeth).

The graphs and the topics range in complexity from studying the standard deviation of temperatures in Antarctica to the use of scatterplots to compare working hours across OECD (Organization for Economic Cooperation and Development) countries. The website offers a number of graphs on Google Slides and suggests questions that teachers may ask students. Furthermore, this site allows teachers to search by type of graph (e.g., scatterplot) or topic (e.g., social justice).

2. Three reads: The three-reads strategy tasks students with evaluating a word problem in three different ways . First, students encounter a problem without having access to the question—for instance, “There are 20 kangaroos on the grassland. Three hop away.” Students are expected to discuss the context of the problem without emphasizing the quantities. For instance, a student may say, “We know that there are a total amount of kangaroos, and the total shrinks because some kangaroos hop away.”

Next, students discuss the important quantities and what questions may be generated. Finally, students receive and address the actual problem. Here they can both evaluate how close their predicted questions were from the actual questions and solve the actual problem.

To get started, consider using the numberless word problems on educator Brian Bushart’s site . For those teaching high school, consider using your own textbook word problems for this activity. Simply create three slides to present to students that include context (e.g., on the first slide state, “A salesman sold twice as much pears in the afternoon as in the morning”). The second slide would include quantities (e.g., “He sold 360 kilograms of pears”), and the third slide would include the actual question (e.g., “How many kilograms did he sell in the morning and how many in the afternoon?”). One additional suggestion for teams to consider is to have students solve the questions they generated before revealing the actual question.

3. Three-Act Tasks: Originally created by Dan Meyer, three-act tasks follow the three acts of a story . The first act is typically called the “setup,” followed by the “confrontation” and then the “resolution.”

This storyline process can be used in mathematics in which students encounter a contextual problem (e.g., a pool is being filled with soda). Here students work to identify the important aspects of the problem. During the second act, students build knowledge and skill to solve the problem (e.g., they learn how to calculate the volume of particular spaces). Finally, students solve the problem and evaluate their answers (e.g., how close were their calculations to the actual specifications of the pool and the amount of liquid that filled it).

Often, teachers add a fourth act (i.e., “the sequel”), in which students encounter a similar problem but in a different context (e.g., they have to estimate the volume of a lava lamp). There are also a number of elementary examples that have been developed by math teachers including GFletchy , which offers pre-kindergarten to middle school activities including counting squares , peas in a pod , and shark bait .

Students need to learn how to slow down and think through a problem context. The aforementioned strategies are quick ways teachers can begin to support students in developing the habits needed to effectively and efficiently tackle complex problem-solving.

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Use the ‘5 Whys’ to Get to the Root of Your Productivity Problems

Planning your next moves is pretty crucial for being productive, but it’s only helpful if those plans are well informed. To succeed, you need to understand why previous attempts at similar tasks didn’t pan out how you wanted them to. Conducting a personal after-action review is one way to assess your work, but to truly understand what went wrong and prepare for future tries, you need to dig deep. Try the “Five Whys” technique to get to the bottom of things.

What is the “Five Whys” technique?

You should know, first of all, that this is yet another productivity protocol that springs from Japan’s famed factory system, like the 5S and 3M techniques. Basically, once you identify a problem, you’re going to ask, “Why?” five times, which will ultimately reveal the true root cause of the issue—and what you need to focus on fixing.

How to use “Five Whys” for problem solving

Some variations of the technique call on you to assemble a team for brainstorming before doing this, but if you’re assessing a personal issue, that part is pretty adaptable. Your “team” can be the people posting on forums about the problem, for instance, or a group chat with your friends. If the issue is a household one, chat with your family. This doesn’t have to be super formal, but if the problem is one related to work and you do have coworkers involved, bring them into the discussion.

Whether you’re consulting a team or not, the real work begins when you define the problem. State it clearly and, ideally, write it down. Let’s say the problem is you didn’t get the dining room clean in time for dinner, so everyone had to eat at the counter. Simplify that to, “I didn’t get the dining room clean.”

Next, ask, “Why?” Write down the answer, like, “I had to take a phone call from work.”

Ask, “Why?” Write down the answer and ask again. Then again, again, and again, until you’ve asked five times. So, your paper might look like this: I didn’t get the dining room clean > I had to take a phone call from work > I didn’t finish the reports my boss wanted > I didn’t have the data I needed from the sales department > The sales department was not aware of my deadline.

When you’re finished digging into the problem, you can see how the answer to the last “Why?” caused a domino effect that led to the original issue. Fixing these more granular problems will ultimately help prevent bigger ones. So, in this case, write down, “I will communicate deadlines and needs with other departments at work early on when working on a project.” The next time you have a project to do, when you’re planning out your to-dos around it, be sure to include, “Communicate with the sales department about the deadline for the data.”

Bear in mind that root causes aren’t always evident after five rounds of “Why?” For instance, maybe it’s not your job to communicate your deadline to the sales department. Maybe the person who was supposed to do that messed up or the people on that team didn’t check their emails. In that case, overhauling your protocols at work might be the answer. The “Five Whys” aren’t concrete; they’re a way to change your thinking around problems so you can easily identify their root causes and address those. Once you get in the habit of asking why and working backward, you’ll be able to do this quickly and alter your future plans more efficiently.

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Algorithms Artificial Intelligence Data Science Deep Learning Machine Learning

Exploring the Landscape of Machine Learning: Techniques, Applications, and Insights

by Hector Martinez on April 1, 2024

Introduction: the power of machine learning in modern industries, what is machine learning, understanding the core types of machine learning techniques, supervised learning: from basics to real-world applications explained, unsupervised learning explained: discovering hidden patterns, bridging the gap with semi-supervised learning: enhancing data understanding, core machine learning techniques for business innovation, deep learning: unleashing the power of neural networks, leveraging transfer learning for efficient ai development, federated learning: privacy-preserving machine learning, meta-learning: teaching ai to learn more effectively, deep learning breakthroughs, generative adversarial networks (gans): innovations in synthetic data, transformers in nlp: beyond conventional models, reinforced learning: strategies for a model to learn from interaction, machine learning for solving real-world problems, understanding different machine learning problem types, solving classification problems with machine learning, solving regression problems through machine learning techniques, clustering problems: unsupervised learning approaches, detecting anomalies: unsupervised learning for anomaly detection, optimizing decision-making with reinforcement learning: strategies and applications, leveraging machine learning for strategic advantages across industries, exploring the backbone of ai: a guide to machine learning algorithms, comprehensive guide to machine learning algorithms, decision trees: key to classification and regression, random forests for enhanced prediction accuracy, support vector machines (svm) in machine learning.

Neural Networks: The Brain Behind AI’s Decision-Making

K-Nearest Neighbors (KNN): A Go-To Algorithm for Precision

Principal component analysis (pca): simplifying data with dimensionality reduction, clustering algorithms: grouping data with machine learning, the critical role of labels in machine learning algorithms, harnessing semi-supervised learning to reduce labeling costs, exploring unsupervised learning: beyond labels, maximizing rewards with reinforcement learning, leveraging analytical learning for data-driven decisions, high-dimensional data with analytical models, summary: mastering machine learning for real-world solutions.

The field of machine learning is taking the world by storm, revolutionizing various industries that range from healthcare to finance to transportation. With the massive amounts of data that businesses and organizations now generate, machine learning algorithms have become a critical tool for extracting insights and making informed decisions. There are different types of machine learning available, each with its own unique advantages and drawbacks. In this article, we’ll delve into the four primary forms of machine learning: supervised learning, unsupervised learning, semi-supervised learning, and reinforced learning.

Note: This blog post is meant to be a guide to the ever-changing landscape of AI and Machine Learning. If you already have some familiarity with fundamental topics, you probably don’t need this, and can check out some of our more advanced blog posts here .

Machine learning (ML) is a type of artificial intelligence (AI) that’s focused on creating algorithms that can learn from data and improve their performance over time. Instead of explicitly programming them for every task, machine learning algorithms are designed to automatically identify patterns in data and use those patterns to make predictions or decisions.

To get a more grounded, code-first introduction to machine learning, read here .

This is the most common type of machine learning, and it is used when the data is labeled. In this case, the algorithm learns to map inputs to outputs based on examples of labeled data. The input data is referred to as features, and the output data is referred to as the label or target. Supervised learning aims to use these labeled examples to train the algorithm to make accurate predictions on new, unlabeled data.

There are two main types of supervised learning: classification and regression. Classification is used when the output is a categorical variable, and the algorithm needs to predict the category where the input data belongs. Examples of classification tasks include image recognition, sentiment analysis, and spam detection. Regression is used when the output is a continuous variable, and the algorithm needs to predict a numerical value. Examples of regression tasks include predicting housing prices, weather forecasting, and stock market analysis.

Unsupervised learning is used when the data is unlabeled. In this case, the algorithm learns to find patterns and relationships in the data without explicit guidance. Unsupervised learning aims to explore the data structure and discover any hidden patterns or groupings.

Several types of unsupervised learning include clustering, dimensionality reduction, and anomaly detection. Clustering is used to group similar data points based on their similarities, while dimensionality reduction is used to reduce the number of features in the data to simplify the problem. Finally, anomaly detection is used to identify unusual data points that do not fit the normal patterns of the data.

Semi-supervised learning is used when the data is partially labeled. In this case, the algorithm uses labeled and unlabeled data to make predictions. Semi-supervised learning aims to use the labeled data to guide the learning process and improve the accuracy of the predictions.

Semi-supervised learning is often used when data labeling is expensive or time-consuming, such as in medical imaging or natural language processing. By using the available labeled data to guide the learning process, semi-supervised learning can achieve high levels of accuracy with less labeled data than would be required for supervised learning.

Machine learning is a powerful tool that can help businesses and organizations make better decisions and gain new insights into their data. Understanding the different types of machine learning is essential for choosing the right approach for a given problem. Whether you are working with labeled or unlabeled data, or whether you need to learn through trial and error, there is a type of machine learning that can help you achieve your goals.

The field of machine learning is advancing rapidly, and new techniques and algorithms are being developed at an ever-increasing rate. In this blog post, we will explore some of the latest and cutting-edge machine learning techniques that are currently making waves in the industry.

Some of our tutorials provide you with the tools and techniques required for business innovation in the field of Deep Learning and Computer Vision.

1. Deep Learning

Self-Driving Cars: Deep learning algorithms excel at object detection and recognition, which is crucial for self-driving cars to navigate safely. They can identify pedestrians, vehicles, traffic signs, and more in real-time.
Medical Diagnosis: Deep learning can analyze medical images like X-rays, mammograms, and MRIs to detect abnormalities or diseases, aiding doctors in diagnosis and treatment planning.
Facial Recognition: Deep learning powers facial recognition systems used for security purposes, access control, and even personalized marketing.

2. Embedded Systems

Internet of Things (IoT): Embedded systems equipped with computer vision capabilities can be used in smart homes for tasks like object recognition (security cameras) or facial recognition (smart door locks).
Industrial Automation: Embedded systems with machine learning can perform real-time quality control in factories, identify defects in products, or predict equipment maintenance needs.
Robotics: Embedded systems with computer vision allow robots to navigate their environment, identify objects for manipulation, and interact with the physical world more intelligently.

3. Optical Character Recognition (OCR)

Document Automation: OCR can automate data entry tasks by extracting text from scanned documents, invoices, or receipts, saving time and reducing errors.
Self-Service Systems: Libraries and banks use OCR scanners to automate book check-in/out or process checks for deposit.
Accessibility Tools: OCR technology can convert printed text into audio for visually impaired individuals, making documents and information more accessible.

4. Machine Learning

Recommendation Systems: Machine-learning algorithms power recommendation systems on e-commerce platforms or streaming services, suggesting products or content users might be interested in.
Fraud Detection: Machine learning can analyze financial transactions to identify fraudulent activity in real-time, protecting users from financial harm.
Spam Filtering: Machine learning algorithms can analyze email content to identify and filter spam messages, keeping your inbox clean and organized.

These are just a few examples, and the potential applications of these technologies continue to grow as computer vision and machine learning advancements accelerate. Explore these resources on PyImageSearch to delve deeper into the practical implementations of these techniques in various real-world scenarios.

Deep learning is a subset of machine learning based on artificial neural networks. It has been a hot topic in the machine-learning community for several years. It has been used in a wide range of applications, from speech recognition to image classification to natural language processing.

The key advantage of deep learning is its ability to learn and extract features from large, complex datasets. This is achieved by building a hierarchy of neural networks, where each layer extracts increasingly complex features from the input data. Deep learning has also been shown to outperform traditional machine learning algorithms in many tasks.

Transfer learning is a technique that allows a pre-trained model to be used for a new task with minimal additional training. This is achieved by leveraging the knowledge that the pre-trained model has already learned and transferring it to the new task. Read more about the practical aspects of Transfer Learning in the tutorial from Figure 1 .

Transfer learning has become popular in recent years because it can significantly reduce the data and training time required for a new task. It has been used in a wide range of applications, including natural language processing, image recognition, and speech recognition. Here’s how it can be applied to various applications:

1. Object Detection

Pre-trained Models: Popular choices include VGG16, ResNet50, or InceptionV3 trained on ImageNet (a massive image dataset with thousands of object categories).
Freeze the initial layers of the pre-trained model (these layers learn generic features like edges and shapes).
Add new layers on top specifically designed for object detection (like bounding box prediction).
Train the new layers with your custom object detection dataset.
Benefits: Significantly reduces training time compared to training from scratch and leverages pre-learned features for better object detection accuracy.

2. OCR (Optical Character Recognition)

Pre-trained Models: These are trained on large text datasets like MNIST (handwritten digits) or COCO-Text (images with text captions).
Freeze the initial layers responsible for extracting low-level image features.
Add new layers (e.g., convolutional layers) specifically designed for character recognition.
Train the new layers with your custom dataset, which contains images of the specific text format you want to recognize (e.g., invoices, receipts, license plates).
Benefits: Faster training and improved accuracy for recognizing specific text formats compared to training from scratch.

3. Image Classification

Pre-trained Models: Similar to object detection, models like VGG16 or ResNet50 can be used.
Freeze the initial layers of the pre-trained model.
Add a new fully connected layer at the end with the number of neurons matching your classification categories.
Train the new layer with your custom image dataset labeled for your specific classification task (e.g., classifying types of flowers and different breeds of dogs).
Benefits: Reduces training time and leverages pre-learned features for improved image classification accuracy on new datasets.

Additional Points:

Fine-tuning the Model: To achieve optimal results, you can adjust the learning rate of the newly added layers compared to the frozen pre-trained layers.
Transfer Learning Limitations: While powerful, transfer learning might not be ideal for entirely new visual concepts not present in the pre-trained model’s training data. In such cases, custom model training from scratch might be necessary.

By leveraging transfer learning, we can achieve significant performance improvements in various computer vision tasks with less training data and computational resources.

Federated learning is a technique that allows multiple devices to collaboratively learn a model without sharing their data. This is achieved by training the model locally on each device and then aggregating the results to create a global model.

Federated learning has become popular in applications where data privacy is a concern, such as healthcare and finance. It allows models to be trained on data that cannot be centralized, such as data stored on individual devices or in different geographic locations.

Meta-learning is a technique that allows a model to learn how to learn. This is achieved by training the model on a variety of tasks and environments so it can quickly adapt to new tasks and environments.

Meta-learning has been used in a wide range of applications, from computer vision to natural language processing. It has the potential to significantly reduce the amount of training data and time required for a new task, making it a powerful tool for machine learning.

These are just a few of the many new and cutting-edge machine-learning techniques being developed. As the field of machine learning continues to advance, we can expect to see many more exciting developments in the coming years. By staying up-to-date with the latest trends and techniques, you can stay ahead of the curve and unlock the full potential of machine learning in your organization.

Generative Adversarial Networks (GANs) are a type of deep learning model that has gained a lot of attention in recent years. GANs consist of two neural networks: a generator and a discriminator. The generator creates synthetic data that is similar to the real data, and the discriminator tries to distinguish between the real and synthetic data.

The goal of GANs is to train the generator to create synthetic data that is indistinguishable from real data. This data can be used for tasks such as image synthesis and data augmentation. GANs have also been used in other applications, such as generating realistic 3D models and creating deepfakes.

Transformers are a type of deep learning model that has gained a lot of attention in recent years, particularly in the field of natural language processing (NLP). The transformer architecture was introduced by Vaswani et al. (2017) and has since become a popular choice for a wide range of NLP tasks.

Traditional NLP models, such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), process input sequences in a linear fashion. This can lead to difficulties in modeling long-range dependencies and capturing relationships between words that are far apart in the input sequence. Transformers, on the other hand, transformers use a self-attention mechanism to process input sequences in a parallel fashion, allowing them to model long-range dependencies more effectively.

In a transformer, the input sequence is first embedded into a high-dimensional vector space. Then, multiple layers of self-attention and feedforward neural networks are applied to the input sequence in parallel. The self-attention mechanism allows the model to focus on different parts of the input sequence and learn to associate words that are far apart in the sequence. The feedforward neural networks will enable the model to learn more complex interactions between the words.

At PyImageSearch, we have crafted a three-part tutorial on Transformers (shown in Figure 2 ) to take you from the basics of attention mechanism to creating your own transformer for Neural Machine Translation.

One of the transformers’ key advantages is their ability to handle variable-length input sequences. This is particularly useful in NLP, where input sequences can vary greatly in length. In addition, transformers have been shown to outperform traditional NLP models on a wide range of tasks, including language modeling, machine translation, and text classification.

One of the most popular implementations of transformers is the BERT (Bidirectional Encoder Representations from Transformers) model, which was introduced by Google in 2018. BERT uses a transformer-based architecture to generate contextualized word embeddings, which are then used as input to downstream NLP tasks. BERT has achieved state-of-the-art performance on many NLP tasks, including sentiment analysis, question answering, and named entity recognition.

Another popular implementation of transformers is the GPT (Generative Pre-training Transformer) model, which was introduced by OpenAI in 2018. GPT uses a transformer-based architecture to generate text, and it has been used to generate realistic, human-like text in a wide range of applications, from chatbots to creative writing.

Transformers are a powerful type of deep learning model that has revolutionized the field of NLP. Their ability to handle variable-length input sequences and model long-range dependencies has made them a popular choice for a wide range of NLP tasks. As the field of NLP continues to advance, we can expect to see many more exciting developments in the area of transformer-based models.

Reinforced learning is used when the algorithm needs to learn through trial and error. In this case, the algorithm interacts with an environment and receives rewards or penalties for its actions. Reinforced learning aims to learn the optimal policy, or set of actions, that maximizes the cumulative reward over time.

Reinforced learning is often used in robotics, gaming, and autonomous vehicles. In these cases, the algorithm must learn how to navigate a complex environment and make decisions that lead to the desired outcome. By receiving feedback in rewards or penalties, the algorithm can learn from its mistakes and improve over time.

Machine learning is a powerful tool for solving a wide range of problems in many different industries. By analyzing large datasets and extracting patterns and insights, machine learning algorithms can help businesses and organizations make better decisions, improve efficiency, and reduce costs. In this blog post, we will explore some of the types of problems that can be solved with machine learning.

Classification problems are one of the most common types of problems that can be solved with machine learning. In a classification problem, the goal is to assign a label to an input based on its features. For example, a machine learning algorithm could be used to classify emails as spam or not spam or to classify images as dogs or cats.

Classification problems are often solved using supervised learning algorithms, such as decision trees, support vector machines, and neural networks. These algorithms learn to map input features to output labels by analyzing examples of labeled data.

Regression problems are another common type of problem that can be solved with machine learning. In a regression problem, the goal is to predict a continuous output value based on the input features. For example, a machine learning algorithm could be used to predict housing prices based on features such as square footage, number of bedrooms, and location.

Regression problems are also often solved using supervised learning algorithms, such as linear regression, decision trees, and neural networks. These algorithms learn to map input features to output values by analyzing examples of labeled data.

Clustering problems are a type of unsupervised learning problem. In a clustering problem, the goal is to group similar items based on their features. For example, a machine learning algorithm could be used to cluster customers based on their purchasing habits, or to group documents based on their content.

Clustering problems are often solved using unsupervised learning algorithms, such as k-means clustering, hierarchical clustering, and density-based clustering. These algorithms learn to identify patterns in the data by analyzing examples of unlabeled data.

Anomaly detection problems are another type of unsupervised learning problem. In an anomaly detection problem, the goal is to identify unusual data points that do not fit the normal patterns of the data. For example, a machine learning algorithm could be used to detect fraudulent credit card transactions based on patterns in the transaction data.

Anomaly detection problems are often solved using unsupervised learning algorithms, such as density-based clustering and autoencoders. These algorithms learn to identify patterns in the data by analyzing examples of unlabeled data.

Reinforcement learning problems are a type of machine learning problem where the goal is to learn a policy, or set of actions, that maximizes a reward signal over time. For example, a machine learning algorithm could be used to learn to play a game or navigate a robot through a maze.

Reinforcement learning problems are often solved using reinforcement learning algorithms, such as Q-learning and policy gradient methods. These algorithms learn to optimize a policy by exploring the environment and receiving feedback in the form of rewards or penalties.

Machine learning can solve a wide range of problems in many different industries. By using machine learning algorithms to analyze large datasets, businesses, and organizations can gain new insights and make better decisions, leading to improved efficiency and reduced costs.

Machine learning algorithms are the backbone of many artificial intelligence (AI) applications. Several types of algorithms are commonly used in machine learning, each with its own strengths and weaknesses. In this blog post, we will explore some of the different types of algorithms in machine learning.

Decision trees are a type of supervised learning algorithm that is commonly used for classification and regression tasks. The algorithm works by recursively splitting the data based on the values of the input features until each leaf node contains a single output value. Decision trees are easy to interpret and can handle both categorical and continuous data.

Random forests are a type of ensemble learning algorithm that combines multiple decision trees to improve the accuracy of the predictions. The algorithm works by creating a set of decision trees, each trained on a random subset of the data and features. Random forests are often used for classification and regression tasks and can handle large datasets with high-dimensional features.

Support vector machines (SVMs) are a type of supervised learning algorithm that is commonly used for classification and regression tasks. The algorithm works by finding a hyperplane that maximally separates the data into different classes or predicts a continuous output value. SVMs can handle both linear and nonlinear data and are effective for high-dimensional data with a small number of training examples.

Neural Networks: The Brain Behind AI’s Decision-Making

Neural networks are a type of supervised learning algorithm that is commonly used for classification and regression tasks. The algorithm works by simulating the function of the human brain with a network of interconnected nodes that process the input data. Neural networks are effective for high-dimensional data with complex relationships between the input features.

K-nearest neighbors (KNN) is a type of supervised learning algorithm that is commonly used for classification and regression tasks. The algorithm works by finding the k nearest neighbors to a given data point and using their labels or values to predict the output for the new data point. KNN can handle both continuous and categorical data and is effective for small datasets with low-dimensional features.

Principal component analysis is an unsupervised learning algorithm that is commonly used for dimensionality reduction. The algorithm works by finding the principal components of the data, which are the linear combinations of the input features that capture the most variance in the data. PCA can be used to reduce the dimensionality of the data, making it easier to visualize and analyze.

Clustering algorithms are unsupervised learning algorithms that group similar data points based on their features. There are several types of clustering algorithms, including k-means, hierarchical clustering, and density-based clustering. Clustering algorithms can be used to identify patterns in the data and find hidden structures.

As you can see, many different types of algorithms are used in machine learning. Each algorithm has its own strengths and weaknesses, and the choice of algorithm depends on the type of data and the specific task at hand. By using the right algorithm for the job, businesses and organizations can gain new insights and make better decisions based on the analysis of their data.

Labels are an essential component of many machine-learning algorithms. In supervised learning, labels are used to train a model to predict output values based on input features. The process of labeling data is time-consuming and requires expertise, but it is a necessary step in building effective machine-learning models.

In supervised learning, labels are attached to each data point in the training set, indicating the correct output value for that data point. For example, if the input is an image, the label might indicate whether the image contains a dog or a cat. If the input is a sentence, the label might indicate the sentiment of the sentence (positive, negative, or neutral).

Labeling data is typically done manually, either by humans or by using other machine learning algorithms. Human labeling can be time-consuming and expensive, especially for large datasets. However, it is often necessary to ensure high-quality labels, particularly for complex tasks or tasks that require human expertise.

One way to reduce the cost and time required for labeling is through semi-supervised learning. In semi-supervised learning, a small portion of the data is labeled, and the rest of the data is left unlabeled. The model is then trained on the labeled data, and the knowledge gained from this training is used to make predictions for the unlabeled data. This can be a cost-effective way to train a machine learning model, particularly for large datasets.

In addition to supervised learning, labels are also used in unsupervised learning algorithms. In clustering algorithms, for example, the goal is to group similar data points based on their features. While the data points may not have explicit labels, the clusters themselves can be used to infer labels or insights about the data.

Labels are also used in reinforcement learning, where the goal is to learn a policy that maximizes a reward signal over time. In this case, the reward signal acts as a label, indicating the correct action to take in a given situation.

You probably noticed by now that labels are an essential component of many machine learning algorithms. While the process of labeling data can be time-consuming and expensive, it is necessary to train effective machine learning models. By using labeled data, businesses and organizations can gain new insights and make better decisions based on the analysis of their data.

Analytical learning is a type of machine learning that involves using mathematical models and statistical analysis to make predictions or decisions based on data. It is one of the most common approaches to machine learning and is used in a wide range of applications, from business analytics to healthcare to autonomous vehicles.

Analytical learning is often used in supervised learning, where the goal is to predict output values based on input features. In analytical learning, a model is trained on a set of labeled data using statistical methods and mathematical models. The model then uses this knowledge to make predictions on new, unseen data.

Tabular data remains a significant and crucial format. Here are some reasons why:

Structured and Organized: Tabular data is inherently organized in rows and columns, making it easy for humans and computers to understand and analyze.
Legacy Systems: Many businesses and organizations still rely on databases and spreadsheets that store information in a tabular format.
Analysis Foundation: Tabular data serves as the foundation for many machine learning algorithms, making it a vital tool for extracting insights.

Several types of analytical learning models are commonly used in machine learning. These include linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), and artificial neural networks (ANNs). Each type of model has its own strengths and weaknesses, and the choice of model depends on the specific problem and the characteristics of the data. In reality, a variety of neural network architectures can be employed to understand heterogeneous tabular data, as shown in Figure 3 .

In addition to supervised learning, analytical learning can also be used in unsupervised learning, where the goal is to identify patterns and relationships in the data. In unsupervised learning, the model is not given explicit output labels, but instead, it is used to group or cluster similar data points based on their features. Common unsupervised learning algorithms include k-means clustering, hierarchical clustering, and principal component analysis (PCA).

One key advantage of analytical learning is its ability to handle large datasets and complex relationships between the input features. By using statistical methods and mathematical models, analytical learning can extract patterns and insights from the data that may not be obvious to humans.

However, analytical learning also has limitations. For example, it may need help to handle high-dimensional data with many input features and be sensitive to outliers and noise in the data. In addition, analytical learning may not be suitable for tasks that require human expertise or judgment.

Analytical learning is a powerful tool in machine learning that can be used to make predictions or decisions based on data. It is a widely used approach that involves using mathematical models and statistical analysis to extract patterns and insights from the data. By using analytical learning, businesses and organizations can gain new insights and make better decisions based on the analysis of their data.

What's next? We recommend PyImageSearch University .

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In this post, we learned about various types of machine learning, such as supervised, unsupervised, and reinforcement learning, as well as insights into deep learning and its applications (e.g., GANs and transfer learning). Additionally, we also introduced different problem types, including classification, regression, clustering, and anomaly detection, and explored algorithms like decision trees, random forests, and neural networks. Now, you’re ready to dive deeper and start training your own machine-learning models to solve interesting problems. Be sure to check out our other blogs or, even better, join PyImageSearch University , where you’ll get videos, code downloads, and all the help you need to be successful in machine learning.

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Empowering Problem-solving in Computer Science: A Need Analysis for a Computational Thinking Mobile Learning Application

Mimi Zairul Mohmad Fuzi
Wan Ahmad Jaafar Wan Yahaya

The advancement of digital technology has revolutionized education across all levels, giving rise to digital learning as a novel pedagogical environment. Among the subjects at the forefront of this transformation is computer science, introduced in matriculation colleges to supplant traditional information technology courses. However, computer science poses inherent complexity, demanding abstract thinking and diverse problem-solving methodologies. Computational thinking (CT) emerges as a promising approach to address these challenges, recognized as a vital skillset for fostering innovation in digital technology among students. The ubiquity of smartphones and mobile internet facilitates the adoption of mobile learning, offering students the flexibility to access educational content anytime, anywhere. Consequently, this need analysis study aims to assess current teaching practices in computer science and identify the need for mobile learning applications that integrate CT as a problem-solving technique among matriculation college students. Interviews with three computer science lecturers revealed a reliance on conventional pedagogy with limited blended learning approaches through college portals. Notably, specific techniques for imparting programming problem-solving skills were lacking. Nonetheless, it is noteworthy that all instructors recognized the considerable potential of mobile learning applications in effectively engaging students and facilitating the development of problem-solving proficiency.

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Colleagues often say that problem solving with me is like peeling an onion: SEBI's Madhabi Puri Buch

W hen it comes to problem solving colleagues often refer to working with her like "peeling an onion", said Securities and Exchange Board of India (SEBI) Chairperson Madhabi Puri Buch.

"(Working with me) makes everyone cry in the process….. but by the time you finish peeling layer after layer of the onion, you suddenly realise that there is no problem left," she said.

Speaking on the sidelines of the IIM-A convocation ceremony, Buch said one of her go-to mantras has been to leave no stone unturned. She quipped that she had a long list of bosses and colleagues who could testify that she is not only a very difficult boss to work for but also a very difficult subordinate because she doesn't give up until a problem has been dissected to the last degree.

Buch cited the example of the move to T+1 settlement. At the time when India became the first large market in the world to move to T+1 settlement and when SEBI went live with optional T+0 settlement, Buch said the process felt pretty much the same.

Her another mantra has been doing what is right. While it is usually the harder path, it is always the right thing to do, Buch said, citing an example from around 2007 when she was running the client-side treasury business for a bank. At that time, she said that she did not understand the world of derivatives and realised that the confirmation script that clients were giving for their deals was full of jargon. "I couldn’t believe that any normal CFO on the other side understood a word of what he was confirming. I took a decision and rewrote the script in simple English," she recounted. As expected the team was "aghast" as it was not the way it was done in the market and were worried that they wouldn't meet profit targets as clients would move to competitors.

Also read: 'The only girl who pulled out of placement': What IIM-A's 1988 batch said about Sebi chief

Buch at that time responded that they needed to do the right thing, even though they may have to work harder to meet targets. This came true during the financial crisis in 2008 when globally clients were making crores of losses. At that time, Buch explained that a large diamond exporter walked into her office and was raging that the bank had mis-sold options to their CFO. Buch asked the client to listen to the recording where the CFO was explained the upside and downside and had still agreed to go ahead with the transaction. The client then realised his mistake, she said.

Disclaimer: The views and investment tips expressed by investment experts on Moneycontrol.com are their own and not those of the website or its management. Moneycontrol.com advises users to check with certified experts before taking any investment decisions

Colleagues often say that problem solving with me is like peeling an onion: SEBI's Madhabi Puri Buch

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Colleagues often say that problem solving with me is like peeling an
When it comes to problem solving colleagues often refer to working with her like "peeling an onion", said Securities and Exchange Board of India (SEBI) Chairperson Madhabi Puri Buch. "(Working ...

35 problem-solving techniques and methods for solving complex problems

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Recommended Articles

How do you identify problems?

Complete problem-solving methods

Problem-solving warm-up activities

Tips for more effective problem solving

Clearly define the problem

Don’t jump to conclusions

Try different approaches

Don’t take it personally

Get the right people in the room

Document everything

Bring a facilitator

Develop your problem-solving skills

Design a great agenda

1. Six Thinking Hats

2. Lightning Decision Jam

3. Problem Definition Process

4. The 5 Whys

5. World Cafe

6. Discovery & Action Dialogue (DAD)

7. Design Sprint 2.0

8. Open space technology

Techniques to identify and analyze problems

10. The Creativity Dice

11. Fishbone Analysis

12. Problem Tree

13. SWOT Analysis

14. Agreement-Certainty Matrix

16. Speed Boat

17. The Journalistic Six

18. LEGO Challenge

19. What, So What, Now What?

20. Journalists

Problem-solving techniques for developing solutions

21. Mindspin

22. Improved Solutions

23. Four Step Sketch

24. 15% Solutions

25. How-Now-Wow Matrix

26. Impact and Effort Matrix

27. Dotmocracy

28. Check-in / Check-out

29. Doodling Together

30. Show and Tell

31. Constellations

32. Draw a Tree

How do I conclude a problem-solving process?

33. One Breath Feedback

34. Who What When Matrix

35. Response cards

Save time and effort discovering the right solutions

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What is Problem Solving? (Steps, Techniques, Examples)

What Is Problem Solving?

Problem-Solving Steps

Defining the Problem

Generating Solutions

Evaluating and Selecting Solutions

Implementing and Monitoring the Solution

Problem-Solving Techniques

Brainstorming

Root Cause Analysis

SWOT Analysis

Mind Mapping

Examples of Problem Solving in Various Contexts

5 Effective Problem-Solving Strategies

What are problem-solving strategies?

1. Trial and error

2. Heuristics

3. Gut instincts (insight problem-solving)

4. Working backward

5. Means-end analysis

Let’s recap

Read this next

10 Problem-solving strategies to turn challenges on their head

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