# User Research *AI Product Management Team* Interviews, surveys, and synthesis without the research-team backlog Your AI product team runs the entire user research loop: recruitment, interview scripting, transcript analysis, theme extraction, and report writing.,Synthesizes hundreds of interviews into a small number of high-confidence insights. Tags every quote so you can pull the supporting evidence for any claim.,Quantitative surveys built, distributed, and analyzed. Qualitative findings cross-referenced with quant signals automatically. ## Benefits ### undefined ### undefined ### undefined ### undefined ## How It Works 1. **Step 1** — 2. **Step 2** — 3. **Step 3** — 4. **Step 4** — 5. **Step 5** — 6. **Step 6** — ## At a Glance - **100s** Interviews synthesizable per project - **100%** Quote-level traceability on every claim - **Days** From recruitment to insight report - **2x** Faster than a typical research team ## Research That Reaches the Roadmap ## FAQ ### Does it replace UX researchers? It replaces the synthesis and reporting layer. UX researchers still design protocols, conduct sensitive interviews, and interpret nuance. ### How does it handle recruitment? Plugs into UserInterviews, Respondent, or your in-house panel. Screeners built automatically from the research brief. ### Can it analyze video, not just transcripts? Yes — emotion, sentiment, and visual cues from video tagged alongside transcript content. ### Is research data kept confidential? Yes — research data stays in your tenant. Participants are anonymized in default outputs.