Built for usability testing interviews. Upload transcripts, get AI-extracted findings with Wilson Score confidence intervals, severity bootstrapping, and three layers of explainability — from headline to evidence trail.
How It Works
Drag and drop .txt interview transcripts. Each file becomes one participant. Best results with 8+ transcripts of 1,000+ words each.
Claude analyzes transcripts, identifies recurring patterns, codes each participant for evidence, and computes severity scores.
Every finding shows prevalence CIs, effect sizes, and evidence trails. Override AI codings. Share defensible results with stakeholders.
Finding Categories
Interface failures that break, slow, or confuse users during active tasks.
Gaps between what users are trying to do and what the product supports.
Consistent wrong expectations — users reliably expect X, the product does Y.
Users hacking around missing or broken functionality — suppressed demand.
Statistical Engine
Wide confidence intervals are not a weakness — they are the honest output for small n. Groundedly never apologizes for uncertainty. It quantifies it.
The demo uses mock data from a 42-participant usability study — no sign-in required.