AI product discovery
Evidently reads your app reviews, support tickets and usage logs, groups them into real behavioural segments, and writes personas where every line links to the records it came from.
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New users abandon during setup before reaching first value.
"Took me three tries to get through setup and I still don't know if it worked."
App Store review"Where do I even change the export format? Gave up and went back to the spreadsheet."
Support ticket #4821"Way too many steps for what it actually does."
Cancellation surveyHow it works
Nothing here is invented. Each stage narrows real records down to patterns, and keeps the link back to the source intact.
Upload reviews, tickets, survey responses, interview notes and usage logs as a single CSV.
Embeddings group feedback by meaning, so "setup is confusing" and "too many steps" land together.
Each cluster becomes goals, pain points and behaviours — with segment size attached.
Click a line in a persona and read the exact records underneath it.
Why teams trust it
Most persona tools present every sentence with the same confidence. Evidently separates what your data actually shows from what it's reading between the lines — and says "insufficient data" rather than filling the gap.
"Exports to CSV at least weekly."
Backed by 212 usage events and 34 support tickets. You can open every one of them.
"Likely reports to a marketing lead."
An interpretation, not a finding. Flagged as inferred with 61% confidence so nobody quotes it as fact in a roadmap review.
Private beta
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