RichData,RigorouslyAnalyzed.
Consulting on qualitative research design — approach selection, interview design, and coding guidance. Rich detail matters, but so does rigor examiners can actually see.
Rich data still needs a defensible research design behind it.
Qualitative research is sometimes wrongly assumed to need less methodological rigor than quantitative work. Examiners look for exactly the opposite — clear justification for approach, sampling, and analysis, since none of it is standardized the way a statistical test is.
What It Is
Qualitative research explores meaning, experience, and context through non-numerical data — interviews, observations, documents, and open-ended text.
Rigor, Not Just Rich Detail
Good qualitative research needs the same methodological rigor as quantitative work — just demonstrated differently.
Every Approach
Phenomenology, grounded theory, case study, ethnography, and narrative inquiry — each frames "good" research differently.
Five qualitative approaches, and what each is for.
| Approach | Focus | Example |
|---|---|---|
| Phenomenology | The lived experience and meaning individuals make of a phenomenon | Patients' experience of a chronic illness diagnosis |
| Grounded Theory | Building theory inductively from the data itself, rather than testing existing theory | Developing a new model of how teams adapt to remote work |
| Case Study | In-depth exploration of one case (person, organization, event) in its real context | A single organization's digital transformation process |
| Ethnography | Immersive, often long-term study of a culture or group from within | Daily practices within a specific workplace community |
| Narrative Inquiry | Understanding experience through the stories people tell about it | How career changers narrate their professional identity shift |
From approach selection to a reportable set of themes.
Approach Selection
Matching your research questions to the qualitative approach that actually fits — phenomenology, grounded theory, case study, ethnography, or narrative inquiry.
Learn more about Approach SelectionInterview Guide Design
Structuring semi-structured interview questions that open up rich data without leading participants toward an expected answer.
Learn more about Interview Guide DesignFocus Group Design
Planning group size, composition, and facilitation approach for focus-group data collection.
Learn more about Focus Group DesignCoding & Theme Development Guidance
Guidance moving from raw transcripts to coded data to themes — with a direct line into NVivo Analysis Support for software-specific help.
Learn more about Coding & Theme Development GuidanceTrustworthiness & Rigor Review
Feedback on credibility, transferability, dependability, and confirmability — qualitative research's equivalent of validity and reliability.
Learn more about Trustworthiness & Rigor ReviewResults Chapter Guidance
Structuring a qualitative findings chapter around themes, supported by well-chosen, properly anonymized participant quotes.
Learn more about Results Chapter GuidanceFrom a research question to rigorous, reportable themes.
Define Questions & Approach
Matching your research questions to the qualitative approach (phenomenology, grounded theory, case study, etc.) that fits.
Design Data Collection
Building interview guides or focus group protocols that will actually produce the depth of data your approach needs.
Code & Analyze
Guided coding and theme development, with a direct path into NVivo Analysis Support for software-specific guidance.
Develop Themes & Report
Structuring your findings chapter around themes, supported by rigor criteria and well-chosen quotes.
Terms worth knowing before your first session.
- Trustworthiness
- The qualitative-research equivalent of validity and reliability, assessed through credibility, transferability, dependability, and confirmability.
- Credibility
- Whether your findings accurately represent participants' realities — often strengthened through triangulation or member checking.
- Transferability
- Whether findings from your study could plausibly apply to other, similar contexts — supported by thick description.
- Reflexivity
- A researcher's explicit acknowledgment of how their own position and assumptions might shape the research process and interpretation.
- Purposive Sampling
- Deliberately selecting participants because they can provide rich, relevant insight into your research question.
- Semi-Structured Interview
- An interview guided by a set of core questions but flexible enough to follow up on unexpected, relevant responses.
- Thick Description
- Detailed, context-rich description of a setting or experience that lets readers judge its relevance to other contexts.
- Bracketing
- In phenomenology, deliberately setting aside your own assumptions to focus on participants' lived experience as they describe it.
Common questions.
It comes down to what your research question is actually asking. Phenomenology suits questions about lived experience and meaning; grounded theory suits questions where you want to build new theory from the data itself; case study suits deep, contextual exploration of one bounded case; ethnography suits understanding a culture or group from within; narrative inquiry suits understanding experience through the stories people tell.
Trustworthiness, assessed through four criteria: credibility (do findings represent participants' realities), transferability (could findings apply elsewhere), dependability (would the process be consistent if repeated), and confirmability (are findings shaped by the data, not just the researcher's bias). We help you build and demonstrate these throughout your study, not just claim them.
It depends on your approach and the concept of saturation — the point where new interviews stop producing new themes. Phenomenological studies might use 6–12 participants; grounded theory studies often continue until saturation is clearly reached. We help you judge this for your specific design rather than working to a fixed number.
Yes — we review question wording and structure to make sure questions are open rather than leading, sequenced to build rapport before sensitive topics, and actually capable of producing the depth of data your analysis will need.
This page covers design through to theme development at a methodological level. For software-specific coding support in NVivo, see NVivo Analysis Support — many people use both together.
Tell us about your study.
Share your research questions and where you are in the design process — we'll respond within a few hours.