AI synthesis

Synthesize customer research for experiment teams

Use AI agents to turn raw interview notes and transcripts into themes, job stories, and experiment inputs.

Free to start. Built for teams that talk to users and run experiments.

Research synthesis should help teams decide what to test next, not stop at a summary document.

Extract themes

Find repeated needs, blockers, and motivations across transcripts.

Create job stories

Write the situation, motivation, and outcome in plain language.

Recommend next bets

Use the synthesis as input for experiment ideas.

Outcomes

Build the habit of learning before scaling.

  • Faster synthesis after interviews.
  • More actionable research outputs.
  • A smoother path from customer signal to experiment.

Questions

Direct answers for product teams

How is AI synthesis different from a research repository?

AI synthesis turns raw customer material into job stories and experiment inputs that teams can act on.

Can synthesis feed experiment planning?

Yes. Personify uses synthesized themes and job stories to help shape experiment recommendations.

Turn customer signal into better experiments.

Start with the kit, then use Personify to synthesize, plan, report, and share what your team learns.