Customer calls reveal what buyers need, where implementations get blocked, and how your team gets them working. Meeting Intelligence extracts product questions, feature requests, blockers, and workarounds, then connects them across accounts to your product map. Your team can find the pattern and inspect the conversation behind it.
What it extracts
“Does the bulk import dedupe rows that differ only by whitespace?” The edge-case questions customers actually ask, captured with who asked and how often.
The capabilities customers ask for, connected to the accounts and implementation needs behind the request.
Where the product stopped an implementation cold — surfaced while it's still fixable, not in the churn postmortem.
The clever thing your engineer did to get the customer live anyway — reusable knowledge, today trapped in one person's head.
Then it cross-references. A blocker from Tuesday's call links to the feature request from last month's email thread and the workaround from another account — demand counted across conversations, evidence pinned to every claim.
How it's built
Meeting Intelligence brings customer conversations into the same map as your product capabilities and previous implementation knowledge. The question from one call, the blocker from another, and the workaround a team found can inform the same product decision.
Every extraction is grounded in your product's capability map. Signal is relative to the company — the same sentence is noise for one and a feature request for another, and the model knows the difference.
Keep the source conversation attached to the extracted signal, so your team can inspect the context and correct the interpretation.
FDEs, implementation consultants, solutions engineers — the people whose conversations hold the richest product data a company generates.