Meeting + interview log

Transcripts your AI can quote back.

For founders running customer development, PMs synthesizing user research, anyone who lives in 1:1s. Capture once, query forever.

The pain

  • 30 customer interviews in your Notion. The AI summarized each one — but the cross-interview patterns are stuck in your head.
  • Meeting transcripts pile up. "What did Sarah say about pricing in Q2?" → 20 minutes of scrolling.
  • Action items live in one place, decisions in another, raw transcripts in a third — none of them deploy to Claude when you ask for a synthesis.
  • Six months later, you can't trace why you pivoted. The conversation that turned the team is buried.

What you do in Memory.Wiki

  1. 1
    Capture the transcript
    Paste it from Otter / Fireflies / Granola, or import from a Notion page that holds it. Memory.Wiki normalizes the speakers and saves a permanent URL.
  2. 2
    Tag with intent
    Mark each doc as note / decision / question. Doc intent is auto-classified after the next concept refresh; you can override with the chip in the editor's LIVE bar.
  3. 3
    Bundle by project
    Group all customer interviews for one project into a Bundle. Run Discoveries — the AI surfaces tensions ("Customer A wants more X; Customer B wants less X") and gaps automatically.
  4. 4
    Recall across interviews
    Open the Hub Assistant and ask "What did customers say about pricing?" Hub recall hits every interview that mentions pricing and quotes the speaker + line directly.

What you get back

  • "Why did we pivot?" → the AI cites the three interviews that pushed the decision.
  • Action items get an intent=decision tag; sidebar filter shows every decision the team made this quarter.
  • Synthesis docs compiled from the bundle remember their source — Recompile after you add a new interview, get an updated synthesis.
  • Send the hub URL to a new hire and they're up to speed on the customer landscape in an afternoon.

Worked example

Example: 14 customer interviews → one pricing memo

Bundle Intent: "Decide our pricing tier for the new persona." After Discoveries: 3 tensions surfaced ("Power users want usage-based; teams want flat-rate; first-time users want free"). Compile to Memo → 1-page synthesis citing each customer by quote.

Try it with what's on your desk right now.

No signup. Drop in your first doc and the URL is yours.

Open Memory.Wiki →

Other shapes the URL takes

Project decisionsDocs as a KBCross-tool handoff