Customer conversations, support requests, and feedback hold the answers. Cognifyr helps product teams turn that scattered input into source-linked insights and clear decisions.
Appears across onboarding interviews and recent support conversations.
Customers describe exporting data before weekly reviews.
Important signals are spread across calls, tickets, surveys, and shared docs. Cognifyr is designed to keep the original voice of the customer close while helping teams see what it adds up to.
Collect customer input from the places your team already learns, then organize it around products, segments, and questions.
Use AI to surface repeated needs, friction points, and emerging opportunities across qualitative sources.
Keep each insight tied to the excerpts behind it so teammates can check the evidence and add context.
Explore how different sources can sharpen the same product question. These are illustrative examples, not customer data.
Several people describe losing track of who owns the next step after onboarding. The insight points to a visibility problem rather than a lack of reminders.
“I can see that the request moved, but I don’t know who has it now.”Illustrative interview excerpt
Cognifyr supports the work between hearing from customers and deciding what to build. It gives researchers, product managers, and designers a shared starting point for discussion.
Cognifyr closed its pre-seed round in August 2026, backed by a small group of angel investors. Investor names are not public.