Qualitative Research Questions: Examples by Design
Qualitati Research Team · 2026-09-23 · 10 min read
Short answer: A qualitative research question asks how or why something is experienced, understood, or done by a specific group in a specific context. It is open, non-directional, and matched to a design: phenomenology asks about lived experience, grounded theory about a process, case study about a bounded case, and narrative inquiry about how people tell their stories. Most studies need one central question and two to four sub-questions.
Last updated: September 23, 2026
Qualitative research questions are the part of a proposal that reviewers read first and that students rewrite most often. A weak question produces a vague interview guide, an unfocused sample, and an analysis that cannot say what it found. This guide gives qualitative research questions examples for four common designs, explains how each question shapes your sampling and analysis, and separates research questions from the interview questions you will actually ask participants.
Key takeaways
- A qualitative research question names a phenomenon, a group, and a context, and asks "how" or "what" rather than "does X cause Y."
- The question should match the design. A phenomenology question about "a process" or a grounded theory question about "an experience" signals a mismatch to reviewers.
- Plan for one central question and two to four sub-questions. More than that usually means the study is really two studies.
- Research questions are for you and your reviewers. Interview questions are for participants, and they are written differently.
- Use the Research Question Fit Check below before you submit a proposal or ethics application.
What makes a good qualitative research question?
A good qualitative research question is open enough to let participants surprise you and narrow enough that you know whom to recruit and when to stop. Jane Agee argues that question development is a reflective, iterative process that shapes every later stage of a study (International Journal of Qualitative Studies in Education, 2009). Poorly built questions create problems in data collection and analysis that are hard to repair later.
In practice, strong questions share five features:
- Open wording. They start with "how," "what," or "in what ways." They avoid yes/no framing and directional hypotheses.
- A named phenomenon. "Returning to work after parental leave," not "work-life issues."
- A defined group and context. "Early-career nurses in public hospitals in France," not "healthcare workers."
- Neutral language. No built-in assumption that the experience is hard, positive, or unfair.
- Design fit. The verb and the object of the question match the tradition you claim.
Qualitative research questions examples by design
The table below gives one central question per design, the unit of analysis each implies, and the analysis approach that typically follows. The examples are illustrative; adapt the population and context to your field.
| Design | What it asks about | Example central question | Typical analysis |
|---|
| Phenomenology | The essence of a lived experience | What is the lived experience of first-generation PhD students during their first year of doctoral study? | Phenomenological analysis (e.g., IPA, descriptive phenomenology) |
| Grounded theory | A social process and how it unfolds | How do small research firms decide whether to adopt AI-moderated interviews? | Open, focused, and theoretical coding; constant comparison |
| Case study | A bounded system in its real context | How did one university's research ethics committee adapt its review procedures for AI-assisted data collection between 2024 and 2026? | Within-case and cross-source analysis; pattern matching |
| Narrative inquiry | How people construct and tell stories | How do mid-career academics narrate their decision to leave academia for industry research? | Narrative analysis (structural, thematic, or dialogic) |
| Generic qualitative / thematic | Patterns of meaning across participants | What do market research managers see as the main risks of synthetic respondents? | Reflexive thematic analysis |
Phenomenology: sub-question examples
- How do first-generation PhD students describe their sense of belonging in their department?
- What moments do they recall as turning points in their first year?
- How do they make sense of academic norms that were not explained to them?
Grounded theory: sub-question examples
- What conditions trigger a firm to consider AI moderation?
- How do decision-makers weigh cost, methodological quality, and client expectations?
- What strategies do firms use after adoption to maintain trust with clients?
Case study: sub-question examples
- What prompted the committee to revise its procedures?
- Which stakeholders shaped the new guidance, and how?
- How do researchers in the institution describe the effect of the changes on their projects?
Narrative inquiry: sub-question examples
- How do participants structure the story of their departure (beginning, turning point, resolution)?
- Which audiences do they imagine when telling it?
- How do they position their academic identity after the move?
For more on the analysis side, see our comparisons of thematic analysis vs grounded theory, the case study research guide, and the narrative analysis guide.
How many research questions should a qualitative study have?
Most qualitative proposals work best with one central question and two to four sub-questions. The central question states the whole inquiry; sub-questions break it into facets you can trace in the data. If you need six or more sub-questions, check whether some are really interview questions, or whether you are describing two separate studies.
The number also affects sample size. Malterud, Siersma, and Guassora's concept of information power (Qualitative Health Research, 2016) holds that a narrower study aim needs fewer participants than a broad one. A tight question is not a limitation; it is what makes a feasible sample defensible. See also our guide to data saturation.
Research questions vs interview questions
This is the most common confusion in student proposals. A research question is analytic: it states what the study wants to understand, in the researcher's language. An interview question is conversational: it invites a participant to describe concrete experience, in their language. You rarely ask your research question directly.
| Research question (for you) | Interview questions (for participants) |
|---|
| How do small research firms decide whether to adopt AI-moderated interviews? | "Tell me about the last time your team considered a new research tool." / "Who was involved in that decision?" / "What made you hesitate, if anything?" |
| What is the lived experience of first-generation PhD students in their first year? | "Can you walk me through a typical week from your first semester?" / "Describe a moment when you felt you did or did not belong." |
Each research question should map to several interview questions, and every interview question should map back to at least one research question. We cover interview wording in detail in how to design qualitative interview questions, open-ended interview questions, and how to write user interview questions.
The Research Question Fit Check
This is a Qualitati editorial checklist for PhD students, supervisors, and research teams. Score each item 0 (no), 1 (partly), or 2 (yes). A total below 10 suggests revising before submission.
- Open: Does the question begin with "how," "what," or "in what ways" and avoid yes/no framing?
- Specific phenomenon: Could a reader name the exact experience, process, or case being studied?
- Bounded population and context: Does it say who, where, and (if relevant) when?
- Neutral: Is it free of assumed outcomes ("challenges," "barriers," "benefits") unless those are the phenomenon itself?
- Design fit: Does the verb match your tradition (experience → phenomenology, process → grounded theory, bounded case → case study, story → narrative)?
- Analysis fit: Can you name the analysis method that will answer it?
- Feasible: Can you reach enough of this population with your time, access, and ethics approval?
Reporting standards reward this clarity. The Standards for Reporting Qualitative Research (SRQR) and the APA's JARS-Qual reporting standards both ask authors to state the study's purpose or research questions and to explain how the chosen approach fits them.
Where Qualitati fits
Qualitati is a European qualitative research platform for universities and research companies, with GDPR and data privacy as central priorities. It does not write your research questions for you; that judgment belongs to the researcher. It helps with the steps that follow:
- From research questions to an interview guide. Build a semi-structured guide and run it as an AI-moderated interview in text or voice, or use Active Listener mode to get real-time prompts and section tracking while you interview yourself.
- From transcripts back to your questions. ThemeLens maps codes to your research questions across up to 100 transcripts and synthesizes themes with participant-anchored quotes. QDA Workspace supports inductive and deductive coding with codebook generation.
- Multilingual studies. Interviews and analysis run in 10 languages, useful for cross-national designs.
The free tier includes 30 monthly credits with no credit card required. See pricing for current rates.
Limitations and methodological concerns
- Questions evolve. In grounded theory and many interpretive designs, research questions are expected to sharpen during fieldwork. Document changes and the reasons for them rather than hiding them.
- Labels are not designs. Calling a study "phenomenological" because the question contains "lived experience" is not enough. The sampling, interviewing, and analysis must follow the tradition too.
- AI suggestions need scrutiny. If you use a language model to brainstorm questions, check the output for assumed outcomes, vague populations, and design mismatch. Treat it as a draft, not a decision.
- Discipline norms differ. Some journals and committees expect aims and objectives instead of formal questions. Follow your field's convention.
Who this is for — and when not to use this approach
This guide is for PhD students writing a proposal or ethics application, supervisors reviewing drafts, and research teams at universities and research firms scoping a qualitative study. It is less useful for purely confirmatory or hypothesis-testing work, where a quantitative or mixed-methods design with directional hypotheses is a better fit.
FAQ
What is an example of a qualitative research question?
"How do first-year nurses in public hospitals experience their first night shift?" It is open, names a phenomenon, and bounds the population and context.
How do qualitative and quantitative research questions differ?
Qualitative questions ask how or why something is experienced or done and are non-directional. Quantitative questions ask about relationships or differences between measured variables and often lead to testable hypotheses.
How many research questions should a qualitative study have?
Usually one central question and two to four sub-questions. More than that often signals scope creep or interview questions mislabeled as research questions.
Can qualitative research questions change during a study?
Yes, especially in grounded theory and other emergent designs. Record each revision and its rationale in your audit trail.
Should I ask participants my research question directly?
Rarely. Translate it into concrete, conversational interview questions about specific experiences, then use probes to go deeper.
Bottom line
Good qualitative research questions are open, specific, neutral, and matched to a design. Use the examples above as models, run your draft through the Research Question Fit Check, and keep research questions and interview questions clearly separate. When the questions are set, start free with 30 credits to run AI-moderated interviews and map your transcripts back to each research question with ThemeLens.
Human-review note: the example questions and the Fit Check are editorial tools from the Qualitati Research Team, not a validated instrument. Confirm design conventions with your supervisor or methods texts in your discipline.