dissertation problem space

Research: Establishing the Problem Space

• Establishing the Problem Space
• Finding Qualitative Research
• Finding Quantitative Research
• What is Emperical Research?
• What is Seminal Research?

What is the Problem Space?

A gap is a space between two objects or a break in continuity.  A research gap is a break or missing part of the existing research when you define the research gap or the problem space you are defining what is known and what is missing in the existing research.  The "problem space" of a study is a definition of the topic, the problem statements or research gaps mentioned by other researchers, and the steps other researchers took to answer the research question. The problem space is a way to identify and establish boundaries for your research, it helps to guide what should be included or excluded from your research.  The problem statement expresses how your study will answer or fill the research gap.

The problem space is thus comprised of identifying what is known about a topic, understanding how it has come to be known (the theories, designs, methods, instruments), and then figuring out what is not yet known (or perspective not explored) .   Problem spaces are built by taking note of the limitations and recommendations discussed in the empirical research articles you gather as you build your literature review.

• Don't know where to start? 6 Tips on identifying research gaps
• What are Gap Statements? From the Middlebury University 'Write Like a Scientist" guide.
• Farooq, R. (2017). A framework for identifying research gap in social sciences: Evidence from the past. IUP Journal of Management Research, 16(4), 66-75. Retrieved from https://uscupstate.idm.oclc.org/login?url=https://www.proquest.com/scholarly-journals/
• Robinson KA, Akinyede O, Dutta T, et al. Framework for Determining Research Gaps During Systematic Review: Evaluation [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2013 Feb. Introduction. Available from: https://www.ncbi.nlm

Examples From Empirical Articles

When looking to find discussions of research that has yet to be done (AKA research gap) in existing articles there are a few keywords to look out for such as limitations identified, further research needed, needs clarification, not been reported (studied, reported, or elucidated), suggestions for further research, questions remains, poorly understood, and/or lack of studies

Below are two examples of types of passages to look for.

Example of a Limitations Section

From the article:

Spanhove, V., De Wandele, I., Kjær, B. H., Malfait, F., Vanderstukken, F., & Cools, A. (2020). The effect of five isometric exercises on glenohumeral translations in healthy subjects and patients with the hypermobility type of the ehlers-danlos syndrome (heds) or hypermobility spectrum disorder (hsd) with multidirectional shoulder instability: an observational study.  Physiotherapy ,  107 , 11–18. https://doi.org/10.1016/j.physio.2019.06.010

From this passage, an argument could be made for performing a similar study, but with 3D analysis.

Example of a Recommendation for Further Research

Some articles will go beyond discussing their limitations and describe further research that should be done. 

For example, this article:

Carey, J., Pathak, A., & Johnson, S. C. (2020). Use, Perceptions, and Awareness of LibGuides among Undergraduate and Graduate Health Professions Students.  Evidence Based Library and Information Practice ,  15 (3), 157-172. https://doi.org/10.18438/eblip29653

Suggests several different avenues of further research:

How to Use Review Articles

Review articles can help formulate a gap, or at least point out a direction to look for one. Since they provide an overview of the published literature, they can give you a head start on what kinds of research are lacking.

How to Locate Review Articles: Systematic Reviews, Literature Reviews, and Meta-Analyses

• handwashing or hand washing or hand hygiene or hand sanitation
• systematic review or meta-analysis or literature review or scoping review
• Adjust dates to be within 2 years. 
• For instance the above search was used to locate this article:

Seo, H.-J., Sohng, K.-Y., Chang, S. O., Chaung, S. K., Won, J. S., & Choi, M.-J. (2019). Interventions to improve hand hygiene compliance in emergency departments: a systematic review. The Journal of Hospital Infection , 102(4), 394–406. https://doi.org/10.1016/j.jhin.2019.03.013

• (hand antisepsis or handwash* or hand wash* or hand disinfection or hand hygiene or surgical scrub*)
• With terms that should be included when searching on this topic.
• "Further well-designed controlled studies are necessary to examine the true effects and identify which intervention modalities are more effective than others for HHC improvement in EDs."
• Reviewing the articles this article studied would then provide support for this gap.

Pursuing a health care topic? Search Cochrane Reviews or Joanna Biggs EBP as well as the more general databases.

Example of a Review Article With a Discussion of Areas Needing Research

Example of a Review Article

Review articles can clarify where a lack of research exists. To then establish the problem space fully, you will need to track down the articles cited in the review.

For instance, consider the following passage from this review article:

Martin, A. (2019). An acquired or heritable connective tissue disorder? A review of hypermobile Ehlers Danlos Syndrome. European Journal of Medical Genetics, 62(7), 103672. https://doi.org/10.1016/j.ejmg.2019.103672

This is indicating a need for longitudinal studies for this condition to better understand the relationship between muscle strength and muscle waste. Further examining the cited articles would establish this avenue for a study.

Problem Formulation

• Trochim, William M.K. “Problem Formulation.” Research Methods Knowledge Base, Conjoint.ly, https://conjointly.com/kb/problem-formulation/.
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• How to Write a Problem Statement | Guide & Examples

How to Write a Problem Statement | Guide & Examples

Published on November 6, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

A problem statement is a concise and concrete summary of the research problem you seek to address. It should:

• Contextualize the problem. What do we already know?
• Describe the exact issue your research will address. What do we still need to know?
• Show the relevance of the problem. Why do we need to know more about this?
• Set the objectives of the research. What will you do to find out more?

Table of contents

When should you write a problem statement, step 1: contextualize the problem, step 2: show why it matters, step 3: set your aims and objectives.

Problem statement example

Other interesting articles

Frequently asked questions about problem statements.

There are various situations in which you might have to write a problem statement.

In the business world, writing a problem statement is often the first step in kicking off an improvement project. In this case, the problem statement is usually a stand-alone document.

In academic research, writing a problem statement can help you contextualize and understand the significance of your research problem. It is often several paragraphs long, and serves as the basis for your research proposal . Alternatively, it can be condensed into just a few sentences in your introduction .

A problem statement looks different depending on whether you’re dealing with a practical, real-world problem or a theoretical issue. Regardless, all problem statements follow a similar process.

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The problem statement should frame your research problem, giving some background on what is already known.

Practical research problems

For practical research, focus on the concrete details of the situation:

• Where and when does the problem arise?
• Who does the problem affect?
• What attempts have been made to solve the problem?

Theoretical research problems

For theoretical research, think about the scientific, social, geographical and/or historical background:

• What is already known about the problem?
• Is the problem limited to a certain time period or geographical area?
• How has the problem been defined and debated in the scholarly literature?

The problem statement should also address the relevance of the research. Why is it important that the problem is addressed?

Don’t worry, this doesn’t mean you have to do something groundbreaking or world-changing. It’s more important that the problem is researchable, feasible, and clearly addresses a relevant issue in your field.

Practical research is directly relevant to a specific problem that affects an organization, institution, social group, or society more broadly. To make it clear why your research problem matters, you can ask yourself:

• What will happen if the problem is not solved?
• Who will feel the consequences?
• Does the problem have wider relevance? Are similar issues found in other contexts?

Sometimes theoretical issues have clear practical consequences, but sometimes their relevance is less immediately obvious. To identify why the problem matters, ask:

• How will resolving the problem advance understanding of the topic?
• What benefits will it have for future research?
• Does the problem have direct or indirect consequences for society?

Finally, the problem statement should frame how you intend to address the problem. Your goal here should not be to find a conclusive solution, but rather to propose more effective approaches to tackling or understanding it.

The research aim is the overall purpose of your research. It is generally written in the infinitive form:

• The aim of this study is to determine …
• This project aims to explore …
• This research aims to investigate …

The research objectives are the concrete steps you will take to achieve the aim:

• Qualitative methods will be used to identify …
• This work will use surveys to collect …
• Using statistical analysis, the research will measure …

The aims and objectives should lead directly to your research questions.

Learn how to formulate research questions

You can use these steps to write your own problem statement, like the example below.

Step 1: Contextualize the problem A family-owned shoe manufacturer has been in business in New England for several generations, employing thousands of local workers in a variety of roles, from assembly to supply-chain to customer service and retail. Employee tenure in the past always had an upward trend, with the average employee staying at the company for 10+ years. However, in the past decade, the trend has reversed, with some employees lasting only a few months, and others leaving abruptly after many years.

Step 2: Show why it matters As the perceived loyalty of their employees has long been a source of pride for the company, they employed an outside consultant firm to see why there was so much turnover. The firm focused on the new hires, concluding that a rival shoe company located in the next town offered higher hourly wages and better “perks”, such as pizza parties. They claimed this was what was leading employees to switch. However, to gain a fuller understanding of why the turnover persists even after the consultant study, in-depth qualitative research focused on long-term employees is also needed. Focusing on why established workers leave can help develop a more telling reason why turnover is so high, rather than just due to salaries. It can also potentially identify points of change or conflict in the company’s culture that may cause workers to leave.

Step 3: Set your aims and objectives This project aims to better understand why established workers choose to leave the company. Qualitative methods such as surveys and interviews will be conducted comparing the views of those who have worked 10+ years at the company and chose to stay, compared with those who chose to leave.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

Research objectives describe what you intend your research project to accomplish.

They summarize the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

Your research objectives indicate how you’ll try to address your research problem and should be specific:

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Problem Statement Overview

How to write a problem statement.

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The dissertation problem needs to be very focused because everything else from the dissertation research logically flows from the problem. You may say that the problem statement is the very core of a dissertation research study. If the problem is too big or too vague, it will be difficult to scope out a purpose that is manageable for one person, given the time available to execute and finish the dissertation research study.

Through your research, your aim is to obtain information that helps address a problem so it can be resolved. Note that the researcher does not actually solve the problem themselves by conducting research but provides new knowledge that can be used toward a resolution. Typically, the problem is solved (or partially solved) by practitioners in the field, using input from researchers.

Given the above, the problem statement should do three things :

• Specify and describe the problem (with appropriate citations)
• Explain the consequences of NOT solving the problem
• Explain the knowledge needed to solve the problem (i.e., what is currently unknown about the problem and its resolution – also referred to as a gap )

What is a problem?

The world is full of problems! Not all problems make good dissertation research problems, however, because they are either too big, complex, or risky for doctorate candidates to solve. A proper research problem can be defined as a specific, evidence-based, real-life issue faced by certain people or organizations that have significant negative implications to the involved parties.

Example of a proper, specific, evidence-based, real-life dissertation research problem:

“Only 6% of CEOs in Fortune 500 companies are women” (Center for Leadership Studies, 2019).

Specific refers to the scope of the problem, which should be sufficiently manageable and focused to address with dissertation research. For example, the problem “terrorism kills thousands of people each year” is probably not specific enough in terms of who gets killed by which terrorists, to work for a doctorate candidate; or “Social media use among call-center employees may be problematic because it could reduce productivity,” which contains speculations about the magnitude of the problem and the possible negative effects.

Evidence-based here means that the problem is well-documented by recent research findings and/or statistics from credible sources. Anecdotal evidence does not qualify in this regard. Quantitative evidence is generally preferred over qualitative ditto when establishing a problem because quantitative evidence (from a credible source) usually reflects generalizable facts, whereas qualitative evidence in the form of research conclusions tend to only apply to the study sample and may not be generalizable to a larger population. Example of a problem that isn’t evidence-based: “Based on the researcher’s experience, the problem is that people don’t accept female leaders;” which is an opinion-based statement based on personal (anecdotal) experience.

Real-life means that a problem exists regardless of whether research is conducted or not. This means that “lack of knowledge” or “lack of research” cannot be used as the problem for a dissertation study because it’s an academic issue or a gap; and not a real-life problem experienced by people or organizations.  Example of a problem that doesn’t exist in real life: “There is not enough research on the reasons why people distrust minority healthcare workers.” This type of statement also reveals the assumption that people actually do mistrust minority healthcare workers; something that needs to be supported by actual, credible evidence to potentially work as an underlying research problem.

What are consequences?

Consequences are negative implications experienced by a group of people or organizations, as a result of the problem. The negative effects should be of a certain magnitude to warrant research. For example, if fewer than 1% of the stakeholders experience a negative consequence of a problem and that consequence only constitutes a minor inconvenience, research is probably not warranted. Negative consequences that can be measured weigh stronger than those that cannot be put on some kind of scale.

In the example above, a significant negative consequence is that women face much larger barriers than men when attempting to get promoted to executive jobs; or are 94% less likely than men to get to that level in Corporate America.

What is a gap?

To establish a complete basis for a dissertation research study, the problem has to be accompanied by a gap . A gap is missing knowledge or insights about a particular issue that contributes to the persistence of the problem. We use gaps to “situate” new research in the existing literature by adding to the knowledge base in the business research field, in a specific manner (determined by the purpose of the research). Identifying gaps requires you to review the literature in a thorough fashion, to establish a complete understanding of what is known and what isn’t known about a certain problem.  In the example from above about the underrepresentation of female CEOs, a gap may be that male-dominated boards have not been studied extensively in terms of their CEO hiring decisions, which might then warrant a study of such boards, to uncover implicit biases and discriminatory practices against female candidates.

How to Write a Problem Statement

• Here is one way to construct a problem section (keep in mind you have a 250-300 word limit, but you can write first and edit later):

It is helpful to begin the problem statement with a sentence :  “The problem to be addressed through this study is… ”  Then, fill out the rest of the paragraph with elaboration of that specific problem, making sure to “document” it, as NU reviewers will look for research-based evidence that it is indeed a problem (emphasis also on timeliness of the problem, supported by citations within the last 5 years).

Next, write a paragraph explaining the consequences of NOT solving the problem. Who will be affected? How will they be affected? How important is it to fix the problem? Again, NU reviewers will want to see research-based citations and statistics that indicate the negative implications are significant.

In the final paragraph, you will explain what information (research) is needed in order to fix the problem. This paragraph shows that the problem is worthy of doctoral-level research. What isn’t known about the problem? Ie, what is the gap? Presumably, if your problem and purpose are aligned, your research will try to close or minimize this gap by investigating the problem. Have other researchers investigated the issue? What has their research left unanswered?

• Another way to tackle the Statement of the Problem:

The Statement of the Problem section is a very clear, concise identification of the problem. It must stay within the template guidelines of 250-300 words but more importantly, must contain four elements as outlined below. A dissertation worthy problem should be able to address all of the following points:

-->identification of the problem itself--what is "going wrong" (Ellis & Levy, 2008)

-->who is affected by the problem

-->the consequences that will result from a continuation of the problem

-->a brief discussion of 1) at least 3 authors’ research related to the problem; and 2)   their stated suggestion/recommendation for further research related to the problem

Use the following to work on the Statement of the Problem by first outlining the section as follows:

1. One clear, concise statement that tells the reader what is not working, what is “going wrong”. Be specific and support it with current studies.

2. Tell who is affected by the problem identified in #1. 

3. Briefly tell what will happen if the problem isn’t addressed.

4. Find at least 3 current studies and write a sentence or two for each study that

i. briefly discusses the author(s)’ work, what they studied, and

ii. state their recommendation for further research about the problem

• Finally, you can follow this simple 3-part outline when writing the statement of the problem section:

Your problem statement is a short (250-300 words), 3 paragraph section, in which you

• Explain context and state problem (“the problem is XYZ”), supported by statistics and/or recent research findings
• Explain the negative consequences of the problem to stakeholders, supported by statistics and/or recent research findings
• Explain the gap in the literature.

Example of a problem statement that follows the 3-part outline (295 words):

The problem to be addressed by this study is the decline of employee well-being for followers of novice mid-level managers and the corresponding rise in employee turnover faced by business leaders across the financial services industry (Oh et al., 2014).  Low levels of employee well-being are toxic for morale and result in expensive turnover costs, dysfunctional work environments, anemic corporate cultures, and poor customer service (Compdata, 2018; Oh et al., 2014).  According to Ufer (2017), the financial services industry suffers from one of the highest turnover rates among millennial-aged employees in all industries in the developed world, at 18.6% annually.  Starkman (2015) reported that 50% of those surveyed in financial services were not satisfied with a single one of the four key workplace aspects: job, firm, pay or career path. 

Low levels of employee well-being interrupt a financial services’ company’s ability to deliver outstanding customer service in a world increasingly dependent on that commodity (Wladawsky-Berger, 2018).Mid-level managers play an essential role in support of the success of many of top businesses today (Anicich & Hirsh, 2017). 

The current body of literature does not adequately address the well-being issue in the financial services industry from the follower’s perspective (Uhl-Bien, Riggio, Lowe, & Carsten, 2014). Strategic direction flows top-down from senior executives and passes through mid-level leadership to individual contributors at more junior grades.  The mid-level managers’ teams are tasked with the achievement of core tasks and the managers themselves are expected to maintain the workforce’s morale, motivation and welfare (Anicich & Hirsh, 2017).  Unless industry leaders better understand the phenomenon of employee well-being from the follower perspective and its role in positioning employees to provide a premium client experience, they may be handicapped from preserving their most significant principal market differentiator: customer service (Wladawsky-Berger, 2018). 

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Table of Contents

Collaboration, information literacy, writing process, problem space, solution space.

Problem Space The Problem Space is the problem and everything associated with the problem, including such things as the history of the problem; the stakeholders (those who benefit from the problem, those who contribute to the problem, and those who feel the problem most deeply, as pain).

Solution Space The Solution Space , in contrast, constitutes the world of products, services, and policies that have been produced to address a particular problem.

Related Concepts: Invention ; Growth Mindset ; Venture Design ; Design Thinking ; Believing ; Customer Discovery ; Problem Definition

Defining the problem space and writing a problem definition is the first step taken to solve a problem.

Venture Design , Design Thinking , Customer Discovery –these are different ways of talking about Customer Discovery and methods for navigating the problem space in order to develop solutions. In general, these approaches to entrepreneurship and lean development assume creators should set aside their own presumptions about best solutions and endeavor to listen to customers

Recommended Resources

• Problem Space vs. Solution Space by Nikhil Gupta

Brevity - Say More with Less

Clarity (in Speech and Writing)

Coherence - How to Achieve Coherence in Writing

Flow - How to Create Flow in Writing

Inclusivity - Inclusive Language

The Elements of Style - The DNA of Powerful Writing

Recommended

Academic Writing – How to Write for the Academic Community

Structured Revision – How to Revise Your Work

Professional Writing – How to Write for the Professional World

Credibility & Authority – How to Be Credible & Authoritative in Research, Speech & Writing

Citation Guide – Learn How to Cite Sources in Academic and Professional Writing

Page Design – How to Design Messages for Maximum Impact

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Featured Articles

UX Design Guides Understand the Problem Space

Purpose of this step.

In essence, this step of the UCD process is about understanding what makes the product "useful".

Here, you will define project scope and provide a basis for decision-making going forward. Your goal is to align the project team with a clear idea of what value the product (product or service) brings to:

• The problem space . Are you solving the right problem? For the right audience?
• The product's stakeholders . What will your stakeholders consider success? What assumptions do they have around your product?
• The product's users . What are your users' needs? What will your users consider success? What are their core needs in this space?

Recommended Approach

• Get ideas onto paper. Get the team into the same room and get assumptions, expectations & ideas out of people's heads. Focus on what problem(s) people think your product need to solve.
• Understand real constraints on the project.
• It is important to question assumptions and set the expectation that the project will be guided by the discovered real needs of the users.
• Define each audience type in a short and simple way.
• If you haven’t already done so, do some user research. There are many methods you can use to learn about your users.
• What are their overall goals in using the product?
• Rank use cases in terms of relative criticality of supporting them (primary/secondary/tertiary).
• Scope product (who will you ultimately support and toward what goals? Why?).
• Create workflow diagrams for each goal. These should document how the audience will realistically set out accomplishing their goal (their "workflow") for in-scope use cases. Base this on data and confident assumptions. Keep this implementation-agnostic. You are not trying to design how your users will use your product, but to document how they naturally approach completing their goals.
• Do they require answers?
• When will answers be necessary?
• Use what you have learned about users to define success from a user experience perspective.
• Is it that users met their goals?
• Is it that users feel satisfied?
• Or is it something else?
• Since user experience is a combination of interactions and perceptions, choose a combination of metrics that track interactions and perceptions .
• Interactions are what people actually do, including clicking, scrolling, and filling out a form. Commonly used interaction measures are time on task, success rate, or user errors. Perceptions are what people think and feel about an experience. Simple satisfaction or ease-of-use rating scales , for example, are measures that gauge how people perceive an experience after using it.

You don’t have to determine at this time how to gather the metrics, but it is important to know at this stage what will determine whether the product or service was successful, from a user experience perspective. When you are ready for that, however, consider if there are existing metrics, or combination of metrics, in your organization that are a good indicator of success.

• Go over scoped use cases and success criteria with team & stakeholders.
• Discuss in terms of user-benefit and user-judged success.
• Create plan for addressing any conflicts or feedback.

At every step, you want to document open questions, assumptions (need validation? when?), and facts. There is nothing inherently wrong with moving forward with unverified assumptions. It is simply a risk that you want to know about and the team can decide how to proceed.

Common Pitfalls

General pitfalls.

• Failure to identify risky assumptions
• Introducing implementation ideas at this early stage. This is about defining the problem & NOT possible solutions. To think about implementation at this point is going to constrain your thinking to what problems you think can be solved, rather than what problems should be solved.

User Research & Validation Pitfalls

• Unclear research goals (what are you trying to answer? How will data be used?)
• Trying to shoehorn all research upfront.
• Be agile and answer what is needed when you need to answer it.
• Cognitive biases in research and decision making

Pitfalls in Working with Stakeholders

• Failure to understand business requirements or expectations
• Failure to get buy in on what use cases (audiences/goals) &emdash;and consequently scope&emdash; the product needs to support in v1.
• Allowing business goals to prioritize or dictate workflows a product supports that are either unrealistic or low-priority for users.

Useful Resources

Defining the problem space.

• Defining audiences and their goals
• Are You Solving the Right Problem?
• Thinking about users' relationship to your product with the Jobs-to-be-done framework

User Research & Validation

• Cognitive biases to watch out for in research
• Facilitation, Moderation, and Observation Tips
• Gathering Qualitative Data
• Combining Qualitative & Quantitative Data
• Site analytics
• Support logs & other similar data sources
• Sample script from combination contextual inquiry and “usability study”
• Guerilla research (quick and dirty)

Success Criteria and Metrics

• Choosing the Right Metrics for User Experience
• Measuring Usability: System Usability Score (SUS)

Personas & User Stories

• How to Make Personas More Scientific by Jeff Sauro for Measuring Usability
• Writing good user stories

We would emphasize that the user stories should be written around broad user goals, rather than about functionality or micro-goals that wouldn't leave a user satisfied. (i.e. for a grading app, we had a story around "As an instructor, I want to be confident that I have successfully submitted my grades to the Registrar.", rather than "As an instructor, I need to enter grades into the system.")

Working with Stakeholders

• Getting buy-in from stakeholders

The Research Problem & Statement

What they are & how to write them (with examples)

By: Derek Jansen (MBA) | Expert Reviewed By: Eunice Rautenbach (DTech) | March 2023

If you’re new to academic research, you’re bound to encounter the concept of a “ research problem ” or “ problem statement ” fairly early in your learning journey. Having a good research problem is essential, as it provides a foundation for developing high-quality research, from relatively small research papers to a full-length PhD dissertations and theses.

In this post, we’ll unpack what a research problem is and how it’s related to a problem statement . We’ll also share some examples and provide a step-by-step process you can follow to identify and evaluate study-worthy research problems for your own project.

Overview: Research Problem 101

What is a research problem.

• What is a problem statement?

Where do research problems come from?

• How to find a suitable research problem
• Key takeaways

A research problem is, at the simplest level, the core issue that a study will try to solve or (at least) examine. In other words, it’s an explicit declaration about the problem that your dissertation, thesis or research paper will address. More technically, it identifies the research gap that the study will attempt to fill (more on that later).

Let’s look at an example to make the research problem a little more tangible.

To justify a hypothetical study, you might argue that there’s currently a lack of research regarding the challenges experienced by first-generation college students when writing their dissertations [ PROBLEM ] . As a result, these students struggle to successfully complete their dissertations, leading to higher-than-average dropout rates [ CONSEQUENCE ]. Therefore, your study will aim to address this lack of research – i.e., this research problem [ SOLUTION ].

A research problem can be theoretical in nature, focusing on an area of academic research that is lacking in some way. Alternatively, a research problem can be more applied in nature, focused on finding a practical solution to an established problem within an industry or an organisation. In other words, theoretical research problems are motivated by the desire to grow the overall body of knowledge , while applied research problems are motivated by the need to find practical solutions to current real-world problems (such as the one in the example above).

As you can probably see, the research problem acts as the driving force behind any study , as it directly shapes the research aims, objectives and research questions , as well as the research approach. Therefore, it’s really important to develop a very clearly articulated research problem before you even start your research proposal . A vague research problem will lead to unfocused, potentially conflicting research aims, objectives and research questions .

What is a research problem statement?

As the name suggests, a problem statement (within a research context, at least) is an explicit statement that clearly and concisely articulates the specific research problem your study will address. While your research problem can span over multiple paragraphs, your problem statement should be brief , ideally no longer than one paragraph . Importantly, it must clearly state what the problem is (whether theoretical or practical in nature) and how the study will address it.

Here’s an example of a statement of the problem in a research context:

Rural communities across Ghana lack access to clean water, leading to high rates of waterborne illnesses and infant mortality. Despite this, there is little research investigating the effectiveness of community-led water supply projects within the Ghanaian context. Therefore, this study aims to investigate the effectiveness of such projects in improving access to clean water and reducing rates of waterborne illnesses in these communities.

As you can see, this problem statement clearly and concisely identifies the issue that needs to be addressed (i.e., a lack of research regarding the effectiveness of community-led water supply projects) and the research question that the study aims to answer (i.e., are community-led water supply projects effective in reducing waterborne illnesses?), all within one short paragraph.

Need a helping hand?

Wherever there is a lack of well-established and agreed-upon academic literature , there is an opportunity for research problems to arise, since there is a paucity of (credible) knowledge. In other words, research problems are derived from research gaps . These gaps can arise from various sources, including the emergence of new frontiers or new contexts, as well as disagreements within the existing research.

Let’s look at each of these scenarios:

New frontiers – new technologies, discoveries or breakthroughs can open up entirely new frontiers where there is very little existing research, thereby creating fresh research gaps. For example, as generative AI technology became accessible to the general public in 2023, the full implications and knock-on effects of this were (or perhaps, still are) largely unknown and therefore present multiple avenues for researchers to explore.

New contexts – very often, existing research tends to be concentrated on specific contexts and geographies. Therefore, even within well-studied fields, there is often a lack of research within niche contexts. For example, just because a study finds certain results within a western context doesn’t mean that it would necessarily find the same within an eastern context. If there’s reason to believe that results may vary across these geographies, a potential research gap emerges.

Disagreements – within many areas of existing research, there are (quite naturally) conflicting views between researchers, where each side presents strong points that pull in opposing directions. In such cases, it’s still somewhat uncertain as to which viewpoint (if any) is more accurate. As a result, there is room for further research in an attempt to “settle” the debate.

Of course, many other potential scenarios can give rise to research gaps, and consequently, research problems, but these common ones are a useful starting point. If you’re interested in research gaps, you can learn more here .

How to find a research problem

Given that research problems flow from research gaps , finding a strong research problem for your research project means that you’ll need to first identify a clear research gap. Below, we’ll present a four-step process to help you find and evaluate potential research problems.

If you’ve read our other articles about finding a research topic , you’ll find the process below very familiar as the research problem is the foundation of any study . In other words, finding a research problem is much the same as finding a research topic.

Step 1 – Identify your area of interest

Naturally, the starting point is to first identify a general area of interest . Chances are you already have something in mind, but if not, have a look at past dissertations and theses within your institution to get some inspiration. These present a goldmine of information as they’ll not only give you ideas for your own research, but they’ll also help you see exactly what the norms and expectations are for these types of projects.

At this stage, you don’t need to get super specific. The objective is simply to identify a couple of potential research areas that interest you. For example, if you’re undertaking research as part of a business degree, you may be interested in social media marketing strategies for small businesses, leadership strategies for multinational companies, etc.

Depending on the type of project you’re undertaking, there may also be restrictions or requirements regarding what topic areas you’re allowed to investigate, what type of methodology you can utilise, etc. So, be sure to first familiarise yourself with your institution’s specific requirements and keep these front of mind as you explore potential research ideas.

Step 2 – Review the literature and develop a shortlist

Once you’ve decided on an area that interests you, it’s time to sink your teeth into the literature . In other words, you’ll need to familiarise yourself with the existing research regarding your interest area. Google Scholar is a good starting point for this, as you can simply enter a few keywords and quickly get a feel for what’s out there. Keep an eye out for recent literature reviews and systematic review-type journal articles, as these will provide a good overview of the current state of research.

At this stage, you don’t need to read every journal article from start to finish . A good strategy is to pay attention to the abstract, intro and conclusion , as together these provide a snapshot of the key takeaways. As you work your way through the literature, keep an eye out for what’s missing – in other words, what questions does the current research not answer adequately (or at all)? Importantly, pay attention to the section titled “ further research is needed ”, typically found towards the very end of each journal article. This section will specifically outline potential research gaps that you can explore, based on the current state of knowledge (provided the article you’re looking at is recent).

Take the time to engage with the literature and develop a big-picture understanding of the current state of knowledge. Reviewing the literature takes time and is an iterative process , but it’s an essential part of the research process, so don’t cut corners at this stage.

As you work through the review process, take note of any potential research gaps that are of interest to you. From there, develop a shortlist of potential research gaps (and resultant research problems) – ideally 3 – 5 options that interest you.

Step 3 – Evaluate your potential options

Once you’ve developed your shortlist, you’ll need to evaluate your options to identify a winner. There are many potential evaluation criteria that you can use, but we’ll outline three common ones here: value, practicality and personal appeal.

Value – a good research problem needs to create value when successfully addressed. Ask yourself:

• Who will this study benefit (e.g., practitioners, researchers, academia)?
• How will it benefit them specifically?
• How much will it benefit them?

Practicality – a good research problem needs to be manageable in light of your resources. Ask yourself:

• What data will I need access to?
• What knowledge and skills will I need to undertake the analysis?
• What equipment or software will I need to process and/or analyse the data?
• How much time will I need?
• What costs might I incur?

Personal appeal – a research project is a commitment, so the research problem that you choose needs to be genuinely attractive and interesting to you. Ask yourself:

• How appealing is the prospect of solving this research problem (on a scale of 1 – 10)?
• Why, specifically, is it attractive (or unattractive) to me?
• Does the research align with my longer-term goals (e.g., career goals, educational path, etc)?

Depending on how many potential options you have, you may want to consider creating a spreadsheet where you numerically rate each of the options in terms of these criteria. Remember to also include any criteria specified by your institution . From there, tally up the numbers and pick a winner.

Step 4 – Craft your problem statement

Once you’ve selected your research problem, the final step is to craft a problem statement. Remember, your problem statement needs to be a concise outline of what the core issue is and how your study will address it. Aim to fit this within one paragraph – don’t waffle on. Have a look at the problem statement example we mentioned earlier if you need some inspiration.

Key Takeaways

We’ve covered a lot of ground. Let’s do a quick recap of the key takeaways:

• A research problem is an explanation of the issue that your study will try to solve. This explanation needs to highlight the problem , the consequence and the solution or response.
• A problem statement is a clear and concise summary of the research problem , typically contained within one paragraph.
• Research problems emerge from research gaps , which themselves can emerge from multiple potential sources, including new frontiers, new contexts or disagreements within the existing literature.
• To find a research problem, you need to first identify your area of interest , then review the literature and develop a shortlist, after which you’ll evaluate your options, select a winner and craft a problem statement .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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I APPRECIATE YOUR CONCISE AND MIND-CAPTIVATING INSIGHTS ON THE STATEMENT OF PROBLEMS. PLEASE I STILL NEED SOME SAMPLES RELATED TO SUICIDES.

Very pleased and appreciate clear information.

Your videos and information have been a life saver for me throughout my dissertation journey. I wish I’d discovered them sooner. Thank you!

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Sources of Insight

Unleash Your Greatest Potential

How To Analyze a Problem Space

Learning a new problem space can be a challenge.  Especially when there’s no map.

While writing books for the past several years, I’ve learned a more effective approach for chunking up and solving problem spaces.

Each new book is a new problem domain.

I can’t afford to churn or be inefficient while ramping up.  I’ve basically learned how to get myself and my teams up to speed faster by using a process.

This process has served me well.  I hope it does the same for you.

Problem Domain Analysis

Here are the key steps:

• What are the best sources of information?
• What are the key tasks and questions for this problem space?
• What are the key hot spots this problem space?
• What are the possible answers for the key questions?
• What are the empirical results to draw from?
• Who can be my sounding board?
• What are the best answers for the key questions?
• What are the problem repros and the solution repros?

Here is an elaboration on each step.

1. What are the best sources of information?

Finding the best sources of information is key to saving time. I cast a wide net then quickly spiral down to find the critical, trusted sources of information in terms of people, blogs, sites, aliases, forums, … etc.  Sources are effectively the key nodes in my knowledge network.

2. What are the key tasks and questions for this problem space?

This step includes making al list of tasks that users would need to perform and a list of questions that users would have.  Identifying the questions and tasks is potentially the most crucial step.  If I’m not getting the right answers, I’m not asking the right questions.  Questions also focus the mind, and no problem withstands sustained thinking (thinking is simply asking and answering questions).

3. What are the key hot spots in this problem space?

This is about finding the hot spots.  This means finding the key buckets and categories for this problem space.  It’s not long before questions start to fall into significant buckets or categories.  I think of these categories as a frame for the problem space.  By framing the space, you can organize the questions and tasks in a meaningful way.  Instead of a laundry list of items, the tasks and questions are grouped into hot spots.  You can then use the hot spots or frame as a lens.  You can also use it to gather, organize, and refine more information.

4. What are the possible answers for the key questions?

When identifying the answers, the first step is simply identifying how it’s been solved before.  I always like to know if this problem is new and if not, what are the ways it’s been solved (the patterns).  If I think I have a novel problem, I usually haven’t looked hard enough.  I ask myself who else would have this problem, and I don’t limit myself to the software industry.  For example, I’ve found great insights for project management and for storyboarding software solutions by borrowing from the movie industry.

One pitfall to avoid is that just because a solution worked in one case doesn’t mean it’s right for you.  The biggest differences are usually context.  I try to find the “why” and “when” behind the solution, so that I can understand what’s relevant for me, as well as tailor it as necessary.  When I’m given blanket advice, I’m particularly curious what’s beneath the blanket.

If you know the type of problem you’re dealing with, it helps to analyze potential answers.  See 4 Types of Problems .

5. What are the empirical results to draw from?

Nothing beats empirical results.  Specifically I mean reference examples.  Reference examples are short-cuts for success.  Success leaves clues.  I try to find the case studies and the people behind them.  This way I can model from their success and learn from their failure (failure is just another lesson in how not to do something).

6. Who can be my sounding board?

One assumption I make when solving a problem is that there’s always somebody better than me for that problem.  So I then ask, well who is that and I seek them out.  It’s a chance to learn from the best and force me to grow my network.  This is also how I build up a sounding board of experts.  A sounding board is simply a set of people I trust to have useful perspective on a problem, even if it’s nothing more than improving my own questions.

7. What are the best answers for the key questions?

The answers that I value the most are the principles.  These are my gems.  A principle is simply a fundamental law.  I’d rather know a single principle, then a bunch of rules.  By knowing a single principle, I can solve many variations of a problem.   The experts and sounding board help create and vet the answers along with the research team.

8.  What are the problem repros and the solution repros?

Creating repros of the problems and repros of the solutions helps test results.  A repro is simply a reproducible set of steps.  I’m a fan of testing results … It’s one thing to have an answer that sounds good, it’s another to test it against the scenario.  I’m also a fan of scenario-based testing because this tests the answer against a specific, concrete instance.  Either it works or it doesn’t.  Rather than speculate or debate solutions, testing solutions is a more effective approach.   Once you can reproduce a problem, you can also share it with others and get more eyes on the problem.

What Do You Know, Don’t Know, and Need to Know Next?

How do you keep from getting stuck?  One of my favorite questions to ask is, “what do we know … don’t know … and need to know next?”  Asking what you know is a way to quickly remind yourself of what you’ve figured out.  It also helps show some signs of progress.  Asking what you don’t know can be an eye opener.  Now that you’ve recapped what you know, what you don’t know might expose some obvious things you’ve overlooked or some hot topics to explore.  With a firm handle on what you know and don’t know, now you can prioritize what you need to know next.  Chip away at the stone.

Now, while I’ve left some details out, I’ve hopefully highlighted enough for you here that you find something you can use in your own problem domain analysis.

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