Hi Product Hunt 👋 I'm Stephen, founder of QualIntel OS. Qualitative researchers face a real bind. Generic AI tools will happily "analyse" your interview data — and produce findings you can't defend to an examiner, with no record of how you got there. Dedicated tools like NVivo organise your data well but weren't built around that problem. QualIntel OS was built for exactly that gap. It does NOT do your analysis for you. It surfaces semantically matched candidate evidence and holds your codebook structure — and you confirm or reject every single suggestion. Every decision is logged with a timestamp. When you export, you get an evidence pack, codebook, reflexivity template, and a non-editable AI disclosure statement built straight from the audit log — the things an examiner actually wants to see. It supports 7 methodologies (RTA, IPA, Grounded Theory, Content Analysis, Template Analysis, Codebook TA, Gioia), runs in the browser, and has a free plan so you can try a full project at no cost. The principle underneath all of it: the system organises, surfaces, and audits — the researcher interprets. Your analysis stays yours. Would love feedback from any researchers here — what does your current qualitative workflow look like, and where does it break down?