A user-research archive that answers questions

Every interview quote, queryable by theme — linked to the features it shaped.

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Without memory

You’ve run fifty user interviews and can’t answer “what have users said about onboarding?” without someone spending a day re-reading transcripts. Research gets done, synthesized once for one deck, and then effectively deleted.

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With Rekall

Interviews become queryable memory: quotes linked to themes, themes linked to the decisions and features they influenced. “What did enterprise users say about SSO?” is a ten-second recall, not a re-research project.

How it works

Ingest transcripts

Interviews go in via API; entity and theme extraction links each insight to who said it and what it concerns.

Themes emerge in the graph

Recurring pain points cluster across interviews — with the receipts (actual quotes) one hop away.

Decisions cite the evidence

When research drives a product decision, the decision graph records which insights motivated it — closing the loop from quote to shipped feature.

See it in action

Fifty interviews, one question

> what have enterprise users said about SSO?

rekall.recall("SSO", hive: "user-research")

→ 9 insights across 6 interviews:
  "We can't even trial without SAML" — P14, CTO
  "Okta or it's a no" — P22, IT lead (similar: P8, P17)
  Theme: SSO is a trial blocker, not a close blocker
  → informed Decision (Apr 2): move SSO to Team tier
    (outcome: +3 enterprise trials in May)