Analyze user interview transcripts for insights in minutes
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"I didn't really understand what I was supposed to do after I signed up — I just kind of clicked around until something made sense."
"I had no idea that existed. If I'd known about it three months ago it would have saved me so much time."
"Before I committed to paying, I really wanted to see some proof that other companies like mine were actually getting results."
"The tool itself is great but it lives in a silo — I still have to copy everything manually into the places my team actually works."
What teams usually miss
When interviews live in separate documents, teams only act on the quotes they happened to remember — missing the themes that only become visible at scale.
Multiple users mentioning "it's confusing" can mean entirely different things, and manual review rarely has the bandwidth to decode each underlying cause.
A concern mentioned by only two or three users can represent a critical blocker for an entire customer segment — but it rarely survives a manual synthesis pass.
Decisions you can make from this
Prioritize which product features to build next based on the unmet needs surfaced most consistently across interview transcripts.
Rewrite onboarding flows and in-app guidance by identifying exactly where and why new users lose confidence or disengage.
Sharpen your positioning and messaging by extracting the precise language users use to describe their problems and desired outcomes.
Identify which customer segments have distinct needs so your roadmap and go-to-market strategy can address each one intentionally.