Most product research dies in unread transcripts. Trace is an intelligence layer that converts user conversations into actionable roadmap evidence. Instead of static forms, Trace runs adaptive interviews to uncover the actual friction in your product. It then extracts the core reasoning from those chats and maps it directly to your roadmap (Linear/Jira).

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Hi hunters👋

We built Trace to help teams scale qualitative research without the manual overhead.

Most research tools focus purely on data collection. Trace is designed as an intelligence layer that converts user conversations into structured product decisions.

What Trace does:

Adaptive Interviews: Replaces static forms with interviews that follow up on user intent and friction in real-time.
Decision Extraction: Synthesizes conversations into actionable insights, providing the core reasoning for every finding.
Roadmap Sync: Connects research directly to your execution tools (Linear/Jira) with the evidence already attached.

The goal is to help you spend less time reading transcripts and more time building with confidence.

Looking forward to your feedback and answering any questions!