Outset enables researchers and product teams to run AI-moderated user interviews without requiring a human moderator for each session. Participants engage in conversational interviews via voice or text, while the AI probes for deeper answers in real time. After interviews are complete, Outset automatically analyzes and synthesizes the responses, surfacing themes, quotes, and insights across all participants. This allows teams to conduct qualitative research at a scale that would be impractical with traditional one-on-one interviews. The platform is designed to support concept testing, usability research, customer discovery, and ongoing feedback collection. Researchers can customize discussion guides, set screening criteria, and review AI-generated summaries alongside raw transcripts. Outset positions itself as a complement or alternative to traditional moderated research methods, reducing time-to-insight while preserving the depth of open-ended qualitative data.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
Key features
Use cases
- Conduct automated user interviews at scale
- Synthesize qualitative research findings
- Run concept and usability testing
- Accelerate customer discovery research
- Collect ongoing customer feedback
Best for
- UX researchers who need to conduct qualitative interviews at a scale not feasible with traditional moderation
- Product managers who need rapid customer discovery insights without coordinating individual interview sessions
- Market researchers who need to synthesize open-ended responses across large participant pools
- Customer insights teams who need to run continuous feedback programs efficiently