Practical insight, honest thinking, and the occasional opinion - for researchers who care about doing it properly.
ChatGPT burst into public consciousness less than three years ago, and already it's reshaping how knowledge-based industries think about their work. For qualitative researchers, the questions are sharper than most: what does AI actually do well, where does it still fall short, and how do we stay honest about both?
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An honest look at where AI genuinely helps researchers, where it still falls short, and how to think clearly about adopting it without the hype.
What it actually looks like to build generative AI into the fabric of a research business - not as a gimmick, but as a genuine operational shift.
Generative AI isn't coming for qualitative research - it's already here. This is what that actually means for how we work, think, and compete.
Transparency, consent, and what researchers owe participants when AI becomes part of how their responses are processed and interpreted.
How to use AI as a genuine analysis partner without losing the rigour and interpretive depth that makes qual research worth doing.
Beyond the hype: the concrete, practical advantages AI brings to qualitative research when it's implemented thoughtfully and honestly evaluated.
A look at how Qualzy approached building AI into the platform - what the priorities were, what got built first, and why researcher needs drove every decision.
Qualzy and CoLoop join forces to bring a new level of AI-powered analysis to qualitative research datasets - and what that means in practice.
What it means to be a genuine research partner rather than a software vendor - and why the distinction matters when fieldwork gets complicated.
ISO 27001 certification isn't a box to tick - it's a rigorous ongoing commitment. Here's what it required, and why it matters for researchers handling sensitive participant data.
The questions to ask, the red flags to watch for, and the features that genuinely matter - versus the ones that just look good in a demo.
A practical buyer's guide for research teams evaluating platforms - what separates the right tool from one that creates more work than it saves.
The fundamentals - what qualitative research is, how it differs from quantitative, and the core methods that define the discipline. A clear-headed primer for newcomers and a useful refresher for everyone else.
Where is qual research heading? Five considered predictions on how methodology, technology, and client expectations are going to shift - and what that means for researchers today.
Analysis doesn't have to mean weeks of reading and rereading transcripts. Practical approaches to make qual analysis faster, cleaner, and more defensible.
From scoping the brief to analysing findings - a practical walkthrough of how to run qual market research that actually answers the business question.
The question clients always ask - and the honest answer isn't a formula. What actually determines the right sample size in qual, and how to explain it clearly.
Consumer panels are powerful - but they're not always the right tool. A clear guide to when they work well, when they don't, and what to consider before recruiting.
The case for async online qual - broader reach, richer data, lower cost, and participants who engage more thoughtfully than in a focus group. What the evidence actually shows.
The science suggests that webcam settings systematically change how participants process stimuli — with implications for every moderator running online groups.
Neither is categorically superior — but the academic and practical evidence has a lot to say about when each approach serves researchers better.
Independent agency Flume needed a smarter way to run always-on consumer communities. Here's how they're using Qualzy to get richer insight, faster - without the overhead.
Three forces reshaping how market research gets done - and why the firms that adapt now will be the ones setting the pace in two years.
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