
Qualitative data examples across 8 types — interview transcripts, field notes, surveys, documents, and more — with academic and business applications for each.

Open-ended questions let respondents answer in their own words, generating rich qualitative data. Learn when to use them, 7 principles for writing good ones, and how to analyse the responses.

Qualitative coding labels segments of text so you can find patterns across interviews and documents. Learn the 5 main coding approaches and when to use each.

Qualitative content analysis is a systematic method for interpreting meaning in text, audio and video data. This guide covers the 3 main approaches, steps, examples, and how AI is expanding what's pos...

The quality of your interview findings depends almost entirely on the quality of your questions. This guide covers question types, what good and bad examples look like, rapport building, and how to go...

Inductive research builds theory from data; deductive research tests existing theory against data. Learn the key differences, when to use each, and how abductive reasoning fits in.

Real qualitative research examples across sociology, health, education, management, and business — with the method used, the key finding, and what made each study qualitative.

Qualitative evidence synthesis combines findings across published studies. This guide covers meta-ethnography, thematic synthesis, and CASP appraisal.

Descriptive coding assigns short labels summarising what a data segment is about, not what it means. The 4 steps, how to build and size a codebook, and how descriptive coding differs from thematic and...

An interview guide is a structured set of questions and topic areas used to run qualitative interviews consistently. Here is how to write one, what to include, and a template you can use.

A thematic analysis results section presents each theme as a heading, supported by 2-4 verbatim quotes with analytical commentary. This guide shows the structure, worked examples, and what reviewers l...

Content analysis counts and categorises text systematically; thematic analysis interprets patterns of meaning. Learn the 5 key differences and when to choose each method.

IPA explores lived experience through small, purposive samples and deep individual case analysis. Learn when to use IPA, how the 6-step process works, and how it differs from thematic analysis.

Grounded theory generates theory from data through iterative coding and constant comparison. This guide covers the 3 main variants, the full coding process, and when to choose GT over thematic analysi...

Inductive coding builds categories from data up. Deductive coding applies existing frameworks down. Abductive coding iterates between both. This guide explains when to use each — with examples.

Braun and Clarke updated their thematic analysis framework 3 times (2006, 2019, 2021). Most researchers are still using the wrong version. Here's what changed and what it means for your analysis.

How to analyse interview transcripts systematically — preparing data, coding approaches, building themes, and writing up. Covers manual and AI-assisted methods.

Step-by-step guide to anonymising and pseudonymising qualitative interview data for IRB, GDPR, and HIPAA compliance with Skimle Anonymise. Covers identifiers, audit trails, and methods documentation.

Guest, Bunce & Johnson (2006) found code saturation at 12 interviews. Here is what that finding actually means, its limitations, and how to set your qualitative sample size.

NVivo costs over EUR 1000 per year and is rarely worth it for individual researchers. Here are the best free and affordable alternatives for PhD students doing qualitative analysis.

A practical guide to qualitative coding: what inductive, deductive, and abductive coding are, when to use each, and how AI tools are changing the process.

A practical pre-publication checklist for qualitative research that used AI tools — covering documentation, traceability, transparency, and peer reviewer expectations.

Step-by-step guide to writing up a thematic analysis: how to structure the methods, results and discussion sections, with worked examples and a final submission checklist.

A well-crafted interview guide is the foundation of successful qualitative research. Learn how to structure questions, iterate as you learn, mix question types strategically, and use AI to test your g...