Looppanel is a qualitative research analysis platform designed to help UX researchers and product teams extract insights from user interviews more efficiently. It records and transcribes research sessions, then uses AI to automatically generate notes, identify themes, and surface patterns across multiple interviews. Researchers can organize transcripts, apply tags, and search across all sessions to find relevant quotes and evidence quickly. The platform supports collaborative analysis, allowing teams to work together on tagging and synthesis. Looppanel also offers AI-generated summaries and research reports, reducing the manual effort typically involved in affinity mapping and insight synthesis. It integrates with video conferencing tools to capture sessions directly, and stores all research artifacts in a centralized repository. The tool is aimed at making qualitative research faster and more accessible for product and design teams without sacrificing analytical rigor.
Target audience and deployment
- Solo / Freelancer
- Startup
- SMB
- Mid-market
- Cloud
Pricing
Pro
Pro
Key features
Use cases
- Transcribe user interview recordings automatically
- Synthesize qualitative research findings with AI
- Organize and tag research notes collaboratively
- Search across all research sessions for evidence
- Generate AI-powered research reports and summaries
- Centralize user research artifacts in one repository
Best for
- UX Researchers who need to analyze large volumes of qualitative interview data quickly
- Product Managers who need to extract actionable insights from user research sessions
- Design teams who need to collaborate on affinity mapping and theme identification
- Startup founders who need to conduct and synthesize user interviews without a dedicated research team
Integrations
Communication
Zoom, Google Meet
Other
Notion