Listen Labs is an AI research agent platform designed to automate qualitative user research. It enables teams to deploy AI-moderated interviews that engage participants in natural, conversational exchanges, then automatically analyzes and synthesizes the collected responses into structured insights. The platform is intended to replace or augment traditional manual interview processes, allowing researchers and product teams to gather qualitative feedback from large numbers of participants simultaneously. Listen Labs handles participant recruitment coordination, question flow, follow-up probing, and thematic analysis, reducing the time and effort typically associated with qualitative research. The resulting insights are presented in dashboards or reports that highlight key themes, quotes, and patterns across respondents. It is positioned for teams that need to run continuous discovery, concept testing, or customer feedback loops without scaling a dedicated research operations team.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
Key features
Use cases
- Automate qualitative user interviews at scale
- Synthesize research findings into actionable insights
- Run continuous product discovery research
- Conduct concept and message testing
- Gather customer feedback at scale
Best for
- UX researchers who need to conduct large-scale qualitative interviews without manual moderation
- Product managers who need to run continuous discovery and concept testing efficiently
- Insights teams who need to synthesize qualitative data from many participants quickly
- Startups who need to gather deep customer feedback without a dedicated research operations team