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Research Question Generator

Turn a dissertation topic into clear, focused research questions. Tell the tool your subject, topic, research approach and population, and it will suggest a primary question plus descriptive, relationship-based, comparative and exploratory alternatives — with a quality check and refinement guidance for each.

  • Tailored to your subject, level and methodology
  • Educational guidance only — your research stays yours
  • Built for UK undergraduate, Master's and postgraduate students

A research question is the single most useful sentence in a dissertation. It tells your reader what the study is about, tells your supervisor whether the project is feasible, and quietly organises every decision that follows — which literature matters, which methodology fits, what data needs collecting, and how the analysis should be shaped. Most students arrive with a topic, not a question; the gap between the two is where this tool helps.

Generate Research Questions for Your Dissertation

Work through the eight short steps below. Nothing is stored or submitted — the tool simply suggests research questions for you to review, refine and discuss with your supervisor.

What level is your research?
What is your subject or discipline?
What is your dissertation topic or research area?

If you arrived from the Dissertation Topic Finder, your chosen topic will be passed in automatically.

What problem, issue or gap do you want to investigate? (optional)

If you have not identified a research problem yet, leave this blank and the generator will suggest possible directions based on your topic.

What type of research are you planning to conduct?

If you are not sure, leave "Not sure" selected and the generator will suggest a suitable approach based on your topic.

Who or what will you study?
Where or in what context will the research take place? (optional)
What are your main variables or concepts?

For qualitative research, describe the concepts or experiences you want to explore.

Ready to Turn Your Research Questions into a Proposal?

Once your questions are settled, the next step is building them into a coherent research proposal your supervisor will approve. Our Dissertation Proposal Help service supports exactly that stage.

Explore Dissertation Proposal Help

Broad Topic → Focused Research Question

The most common reason a research question fails is that it never left the "topic" stage. The visual chain below shows how each narrowing step adds specificity until the question becomes something a dissertation could realistically answer.

Broad topic

Social media

Research area

Influencer marketing

Research problem

Consumer purchase behaviour

Specific population

Generation Z

Location / context

United Kingdom

Variables / concepts

Instagram influencer marketing → Purchase intentions

Focused research question

How does Instagram influencer marketing influence purchase intentions among Generation Z consumers in the UK?

Research Aim → Objectives → Questions Alignment

One of the most common problems in a dissertation is a research question that does not actually address the aim, or objectives that have no matching question. The example below shows how the three elements should lock together.

Research Aim

To investigate the impact of AI adoption on employee productivity in UK SMEs.

Research Objectives

  1. To examine the extent of AI adoption among UK SMEs.
  2. To assess employee perceptions of AI-enabled workplace practices.
  3. To examine the relationship between AI adoption and employee productivity.

Research Questions

  1. What is the extent of AI adoption among UK SMEs?
  2. How do employees perceive AI-enabled workplace practices?
  3. What relationship exists between AI adoption and employee productivity?

Notice the one-to-one mapping. Each objective corresponds to exactly one question, and together the three questions fully cover the aim. If you cannot draw this mapping in your own project, it usually means either an objective is missing, or a question is doing work that belongs somewhere else.

A matching Aims & Objectives Generator is in development. In the meantime, our Research Objectives Help and Research Questions Help services cover this stage directly.

What Is a Research Question?

A research question is a focused, answerable question that defines what a study sets out to investigate. It names, either explicitly or implicitly, a population, a context and a set of concepts or variables — and it can be answered with evidence that the researcher can realistically collect. In a dissertation, it is the sentence that every other section exists to serve.

A research question is not the same as a topic, an aim or an objective. A topic names an area; a research question asks something specific within it. This distinction is worth learning early, because most supervision feedback that a project is "too broad" or "not researchable" is really feedback that the question has not been tightened enough.

How to Write a Research Question

Writing a research question is a sequence of narrowing decisions, not a single moment of inspiration. The steps below are the ones most UK supervisors expect to see reflected in a research proposal.

  1. Start with a topic you can define in one sentence. If you cannot, the topic is still too broad to generate a question from.
  2. Identify the research problem. What is unresolved, contested or under-researched about this topic? The problem is the reason the study exists.
  3. State your aim. One sentence, beginning "to investigate…", "to examine…" or "to explore…".
  4. Set three to five objectives. Each should be a specific, measurable step that contributes to the aim.
  5. Draft one overarching question and two to four sub-questions. The overarching question addresses the aim; the sub-questions map to the objectives.
  6. Add population, context and variables. A question that does not name who is being studied, where, and using which concepts is still too open to answer.
  7. Check alignment with your methodology. A "how do employees experience…" question cannot be answered with a purely quantitative survey; a "what is the relationship between…" question cannot be answered with three interviews.
  8. Confirm with your supervisor and your programme handbook. Requirements vary by university, department, programme and supervisor.

What Makes a Good Research Question?

A good research question is not simply one that sounds impressive. It is one that can actually be answered within the constraints of a dissertation.

Clear

You can state the question in one sentence without hedging or compound clauses.

Focused

It addresses one thing, not several. Sub-questions carry the detail.

Specific

It names a population, a context and the key concepts or variables.

Researchable

Evidence could realistically answer it, with data you can collect.

Relevant

It sits within your discipline and speaks to an existing academic conversation.

Feasible

It fits your word count, method, resources and dissertation deadline.

Ethical

It can pass your ethics review without foreseeable risk to participants.

Appropriately scoped

It is neither a career-long research programme nor a one-week enquiry.

Research Question Examples

Research questions look different across disciplines. The examples below show how the same underlying structure — population, context, concepts — is expressed in very different academic languages.

Accounting

  • What is the relationship between ESG reporting quality and cost of equity among FTSE 350 listed firms?
  • How do audit partners perceive the effect of AI-assisted tools on audit judgement quality?

Business & Management

  • How does digital transformation maturity affect operational performance in UK manufacturing SMEs?
  • In what ways do middle managers experience the implementation of hybrid-working policies?

Marketing

  • How does Instagram influencer marketing influence purchase intentions among UK Generation Z consumers?
  • What relationship exists between brand trust and customer loyalty in UK online grocery retail?

Human Resource Management

  • What relationship exists between remote-working intensity and employee engagement in UK financial services?
  • How do HR managers describe the challenges of retaining early-career talent in the post-pandemic period?

Education

  • To what extent does the use of generative AI tools affect student engagement in UK undergraduate seminars?
  • How do secondary-school teachers experience the introduction of AI-assisted marking?

Nursing & Healthcare

  • What is the relationship between patient-safety culture and incident-reporting rates across NHS trusts?
  • How do nurses experience the introduction of AI-based clinical decision-support tools in acute settings?

Law & Criminology

  • How consistent is sentencing practice in cyber-fraud cases across England and Wales?
  • How do victims of online fraud describe their experience of reporting to the police?

Computer Science

  • Which machine-learning approaches most accurately detect phishing attempts in UK small-business email traffic?
  • How usable are password managers for non-technical users in UK SMEs?

Qualitative Research Questions

Qualitative research questions explore experiences, perceptions, meanings, processes and organisational practices. They suit research designs where the aim is to understand something in depth rather than to measure how much or how often.

Common formulations include:

  • How do [population] experience [phenomenon]?
  • Why do [population] adopt / resist [practice]?
  • In what ways does [process] shape [outcome]?
  • What meanings do [population] attach to [phenomenon]?

Avoid the assumption that every qualitative question must begin with "how". "Why", "in what ways" and "what" are equally legitimate. The question should be open-ended enough to allow participants to describe their experience in their own terms, and narrow enough that the study has a clear boundary.

Quantitative Research Questions

Quantitative research questions investigate relationships, differences, effects or trends between measurable variables. They suit survey research, experiments and the analysis of existing datasets.

Common formulations include:

  • What is the relationship between [variable A] and [variable B] among [population]?
  • To what extent does [independent variable] influence [dependent variable]?
  • How does [outcome] differ between [group 1] and [group 2]?
  • What factors predict [outcome] in [context]?

Quantitative questions should name variables that can actually be measured with the data you intend to collect, and should anticipate the statistical analysis you plan to use.

Mixed Methods Research Questions

Mixed-methods studies combine a quantitative and a qualitative question, usually so that the second explains or extends the first. The two questions should be deliberately complementary rather than duplicated.

Quantitative question

What relationship exists between remote-working intensity and employee productivity among UK financial-services employees?

Qualitative question

How do UK financial-services employees describe the factors that influence their productivity while working remotely?

In this design, the survey establishes whether a relationship exists; the interviews explain the mechanisms behind it. Each question would be weak on its own; together, they answer a richer version of the research aim.

Research Questions for Undergraduate Dissertations

Undergraduate research questions should be modest in scope and achievable with a single, well-justified method. A typical structure is one overarching question supported by two or three sub-questions, each addressable with a survey of 80–150 respondents, a small set of interviews, or a focused case study. The aim is to demonstrate that you can apply established concepts and methods, not to invent new theory.

Research Questions for Master's Dissertations

Master's-level research questions generally expect more explicit engagement with theory, clearer justification of scope, and a design that could plausibly support publication in a student journal. They are usually narrower than undergraduate questions, and they often specify a particular relationship, population and industry. You will normally be expected to discuss methodological limitations, alternative designs and the wider implications of your findings.

How to Narrow a Research Question

When a research question feels too broad, the fix is almost always to add specificity. Work through the filters below until the question becomes something a single dissertation could answer.

  • Population — who exactly? (e.g. Generation Z, NHS nurses, SME owners)
  • Geography — which country, region or city? (e.g. UK, Scotland, Birmingham)
  • Industry — which sector? (e.g. fintech, hospitality, construction)
  • Organisation — one firm, one trust, or a comparison of two
  • Variables — a small, measurable set of relationships (e.g. X → Y)
  • Time period — a specific window (e.g. post-2020, during the cost-of-living crisis)
  • Theory — anchor in one framework (e.g. TAM, Job Demands-Resources)
  • Research approach — the design you intend to use (e.g. cross-sectional survey, multiple case study)

Common Research Question Mistakes

  • The question is too broad to answer in a single dissertation ("How does social media affect society?")
  • The question is too vague to be testable ("What do people think about AI?")
  • The question is not researchable with the data you can realistically collect
  • Two or more distinct questions are combined into one sentence
  • The question contains leading language that presumes an answer
  • The population is not identifiable from the question
  • The context (country, industry, timeframe) is missing
  • The question does not align with the stated aim or objectives
  • The question is not feasible within the dissertation timeframe
  • The question simply asks for factual information that is already published

Research Question vs Research Aim vs Research Objectives

These three elements are closely related but serve distinct purposes. Confusing them is one of the most common causes of supervision feedback.

Element Purpose Example
Research Aim States the overall purpose of the study. To investigate the impact of AI adoption on employee productivity in UK SMEs.
Research Objectives The specific, measurable steps required to achieve the aim. To examine the relationship between AI adoption and employee productivity.
Research Questions The questions the study will answer in order to fulfil the aim. What relationship exists between AI adoption and employee productivity in UK SMEs?

Research Questions vs Hypotheses

A research question asks what the study wants to investigate; a hypothesis makes a testable prediction about the expected result. Quantitative studies often use both, particularly where the aim is to test a specific relationship. Qualitative studies commonly use research questions without formal hypotheses.

Research question

What relationship exists between AI adoption and employee productivity in UK SMEs?

Hypothesis

H1: Higher levels of AI adoption are associated with higher employee productivity in UK SMEs.

Neither form is universally required. The right choice depends on your discipline, your methodology and your programme's expectations — confirm with your supervisor.

How Many Research Questions Should a Dissertation Have?

There is no universal number, and any source that gives you one should be treated with caution. What matters is that your research questions together fully address your aim, and that you can realistically answer each within your timeframe.

Factors that influence the right number include:

  • Dissertation scope — a 10,000-word undergraduate project cannot sustain five questions; a doctoral thesis often can.
  • Degree level — undergraduate work typically has one main question and two to three sub-questions; Master's and doctoral work often has more.
  • Research methodology — a quantitative study testing multiple hypotheses may need several questions; a qualitative case study may need only one or two.
  • Research objectives — the number of questions usually mirrors the number of objectives.
  • University and programme requirements — some departments specify an expected structure; always check your handbook.

The priority is alignment and feasibility, not a fixed count. If you cannot explain how each question contributes to the aim, the question should probably be removed or rewritten.

How Research Questions Relate to Dissertation Methodology

Research questions and methodology are not independent choices. The form of your question determines the design that can answer it.

  • Research design — a "how do employees experience…" question demands a qualitative or mixed design; a "to what extent does X affect Y" question demands a quantitative one.
  • Data collection — a question about measurable relationships requires structured instruments (surveys, tests, datasets); a question about experience requires open instruments (interviews, focus groups, observation).
  • Sampling — the population named in your question determines who you recruit, and the claims you can make about them.
  • Variables — quantitative questions require variables that can actually be measured with the instruments you have available.
  • Analysis — a relationship question implies statistical analysis; an experience question implies thematic or narrative analysis.
  • Interpretation — the wording of your question sets the boundaries of what your findings can claim. A question about UK SMEs cannot yield conclusions about all businesses.

A useful test: for each research question, ask what data would answer this, and how would I analyse it? If you cannot answer both parts, the question is not yet finished.

What Comes After Your Research Questions?

Once your research questions are settled, the rest of the dissertation becomes a logical sequence. Each stage feeds the next, and skipping a stage — particularly moving to data collection before the questions are fixed — tends to cause problems later.

  1. Research questions
  2. Research design
  3. Literature review
  4. Methodology
  5. Data collection
  6. Data analysis
  7. Discussion
  8. Conclusion

Need Help Choosing an Appropriate Research Methodology?

Your research questions should determine your methodology — not the other way round. Our Dissertation Methodology Help service walks you through research philosophy, design, sampling and justification.

Explore Dissertation Methodology Help

Related Dissertation Resources

These subject and research hubs cover the stages that sit either side of the research question — before it, and after it.

Related Dissertation Tools

The research question generator is one step in a wider toolkit. The Dissertation Topic Finder is available now; the tools below are in development and will link from here once they launch.

Aims & Objectives Generator

Build a clear aim and measurable objectives. Coming soon

Hypothesis Generator

Turn a research question into testable hypotheses. Coming soon

Methodology Selector

Match your questions to an appropriate design. Coming soon

Need Academic Guidance with Your Dissertation Research?

If you would like to talk your research questions through with an experienced consultant, a general Dissertation Consultation session is the recommended starting point — no obligation to book anything further.

Explore Dissertation Consultation
Got Questions?

Research Question Generator FAQs

A research question is a focused, answerable question that defines exactly what a study sets out to investigate. It sits at the centre of a dissertation: your literature review, methodology, data collection and analysis should all be organised around answering it.

Start from your topic, identify a specific research problem, then state what you want to find out about a defined population, in a defined context, using a defined set of concepts or variables. Write the question so that it can be answered with the data you can realistically collect within your dissertation timeframe.

A good research question is clear, focused, specific, researchable, relevant to your discipline, feasible within your timeframe, ethically viable, and appropriately scoped for your level of study. It usually names a population and a context, and it contains a single, answerable focus rather than several combined questions.

There is no universal number. Undergraduate dissertations often have one overarching question with two or three sub-questions; Master's and doctoral studies may have more. The right number is the number that fully addresses your aim without becoming unmanageable. Prioritise alignment and feasibility over a fixed count.

A research aim states the overall purpose of the study in a single sentence ("to investigate…", "to examine…"). Research questions are the specific questions the study will answer in order to fulfil that aim. The aim is the destination; the questions are the routes.

Research objectives are the specific, measurable steps you will take to achieve your aim — usually written as "to examine…", "to assess…", "to compare…". Research questions are the questions those steps are designed to answer. Objectives and questions should map onto each other closely.

Yes. Most dissertations have one overarching research question supported by two to four sub-questions. Each sub-question should address a distinct aspect of the aim, and together they should fully cover it without overlapping.

Work through a sequence: topic → research problem → aim → objectives → research questions. The topic gives you the area; the research problem identifies what is unresolved; the aim states your purpose; the objectives set out the steps; and the research questions articulate what the study will actually answer.

Qualitative research questions explore experiences, perceptions, meanings, processes and practices. They commonly begin with "how", "why" or "in what ways", and they usually avoid testing a pre-specified relationship. They suit research designs such as interviews, focus groups, ethnography and qualitative case studies.

Quantitative research questions investigate relationships, differences, effects or trends between measurable variables. They commonly begin with "what is the relationship between…", "to what extent does…", or "how does X differ from Y". They suit survey research, experiments and analysis of existing datasets.

A research question asks what the study wants to investigate; a hypothesis makes a testable prediction about the expected result. Quantitative studies often combine both — a research question setting the focus and one or more hypotheses predicting specific relationships. Qualitative studies typically use research questions without formal hypotheses.

Not necessarily. Open-ended questions suit exploratory and qualitative work; closed or directional questions suit quantitative work testing specific relationships. The right form depends on your aim and methodology, not on a universal rule.

Often yes, particularly in the early stages — but you should discuss any change with your supervisor. Refining the wording of a research question is normal; substantially changing direction after data collection usually requires a formal amendment and may not be permitted by your department.

Specific enough that you can state the population, the context and the key concepts or variables in a single sentence — and broad enough that you can still find literature and collect data. If the question cannot be answered with the evidence you can realistically gather, it is probably still too broad.

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