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

01
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.
02
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 MD bar.
03
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.
04
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