QualiDialog
Ideas for your analytical practice.
Methodological reflections on qualitative research and AI, alongside practical perspectives on working with software. Explore questions of interpretation, research ethics, and the role of researchers in AI-supported analysis.
2026-07-21
Who is accountable for interpretations produced with AI? A methodological argument for examining evidence and justifying qualitative research claims.
Read article →2026-05-14
Why a seemingly sensible AI response can miss the research question, and how project context shapes trustworthy qualitative interpretation.
Read article →2026-05-04
Why participant consent alone does not settle GDPR obligations when researchers use AI tools with confidential qualitative data.
Read article →2026-03-09
An AI-led experiment with synthetic interviews about loneliness in Rotterdam raises questions about interpretation, authorship and validation.
Read article →2025-12-06
Against the fast-food versus slow-science divide: how dialogic engagement with AI can support thoughtful, rigorous qualitative inquiry.
Read article →2025-11-23
Why a seemingly reasonable thematic analysis prompt could not deliver its intended result, and what the example teaches about AI literacy.
Read article →2025-11-11
Qualitative researchers must steer AI-assisted analysis: question outputs, revisit the data and refine interpretations through ongoing dialogue.
Read article →2025-10-26
A response to objections about generative AI in reflexive qualitative research, arguing for critical, accountable researcher-led engagement.
Read article →2025-07-22
Market research moderator Frank-Thomas Naether examines what AI can and cannot replace in qualitative interviewing and human moderation.
Read article →2025-02-23
How researchers can document AI contributions transparently in publications, methods sections and accounts of qualitative analysis.
Read article →2024-08-03
An example of conversational analysis with AI, with practical reflections on methodological responsibility and language-model limitations.
Read article →2024-04-14
The first part of a series examining data privacy, confidentiality and research ethics when using AI for qualitative research.
Read article →2024-01-13
Human and AI bias both shape interpretation. A reflective examination of how qualitative researchers can recognise and question assumptions.
Read article →2023-12-20
What happens when qualitative analysis moves beyond conventional coding? An early exploration of generative AI and dialogue with data.
Read article →2023-12-11
From tape recorders to generative AI: tracing how new technologies change qualitative research practices and methodological choices.
Read article →2023-11-28
How privacy and security concerns influence the adoption of AI in research, and why understanding the technology matters.
Read article →2023-10-17
A hands-on account of using an AI interview bot, including instructions, respondent experiences and unexpected language switching.
Read article →2023-09-15
Why instant AI-generated qualitative analysis can be misleading, and why human judgment remains essential to making meaning from data.
Read article →2023-07-27
An experiment in prompting generative AI to hallucinate reveals why researchers must test answers against context and evidence.
Read article →2023-06-01
Do qualitative researchers need faster versions of existing tools, or a different approach? Rethinking analysis in the age of generative AI.
Read article →2023-03-29
Could AI interviewers change participants' answers? Questions about interviewer effects, technology and claims made about AI research tools.
Read article →2023-03-09
Why qualitative market research sometimes needs imaginative interpretation rather than more data, especially under client time pressure.
Read article →2023-02-23
Comparing AI-powered and human coding in qualitative analysis, and questioning familiar claims that automation necessarily saves time.
Read article →2023-01-30
Using Kahneman's fast and slow thinking to examine different qualitative data analysis tools and the thinking they encourage.
Read article →2026-09-26
Guest author Surya Yadav explains why themes can fail to answer a research question and how to strengthen the analytical focus.
Read article →2026-08-21
Compare AI qualitative research software by purpose: AI-moderated research, CAQDAS, AI-assisted analysis, automated coding, and research repositories.
Read article →2026-07-02
AI can accelerate qualitative research, but researchers remain responsible for interpreting evidence, nuance and the meaning of findings.
Read article →2025-12-29
Why QualiDialog (formerly QInsights) rejects instant AI analysis in favour of iterative inquiry, evidence and researcher judgment.
Read article →2025-11-19
How AI can speed up repetitive parts of qualitative research without sacrificing the interpretation and depth of analysis.
Read article →2025-07-15
How abductive analysis uses surprising qualitative findings to develop and test plausible explanations against the evidence.
Read article →2025-05-14
How conversational analysis helps researchers move from raw qualitative data to insights through questions, comparisons and source evidence.
Read article →2025-03-14
From coding to conversations: a practical account of using AI for iterative, evidence-linked qualitative research analysis.
Read article →Prefer to listen?
Explore qualitative research, methods and AI in podcast discussions with Lisa and Tom, the two AI hosts. Based on writing by Dr Susanne Friese.
About the podcast →Explore the podcast website →
