How It Works

UserTold.ai closes the loop between user behavior and product decisions.

1) Define the study

Create a study with goals, script segments, and screener rules. This defines who qualifies and what the interviewer should learn.

2) Run interviews

Participants enter through your screener and complete guided sessions. The AI conducts voice interviews live — observing behavior, asking follow-up questions, and stepping in when someone gets stuck. We capture voice, transcript, and interaction context.

3) Extract evidence

The platform turns raw sessions into structured signals:

  • struggling moments
  • desired outcomes
  • workarounds

Each signal links back to source evidence.

4) Create tasks

Signals cluster into actionable tasks with titles, priority, and context. Tasks can be pushed to your tracker (for example GitHub) from the app.

5) Measure impact

After shipping changes, rerun interviews and compare signal rates. This verifies whether the fix improved user outcomes.

Agent and API friendly

You can operate the loop from the UI, CLI, or MCP tools with JSON-first outputs.

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