LoopPanel

Looppanel is an AI-powered UX research platform designed to streamline the entire qualitative analysis workflow, transforming raw user interviews and feedback into a structured, searchable repository of actionable insights. Its core value proposition lies in dramatically reducing the manual labor of sifting through hours of recordings and notes, enabling researchers and product teams to uncover patterns and make data-driven decisions faster. By automating transcription, note-taking, and initial coding, it allows professionals to focus on higher-level synthesis and strategic storytelling.

Key features: The platform generates high-quality, time-stamped transcripts from video or audio recordings, supporting multiple languages for global research. It offers automatic note generation that identifies key moments and quotes, live note-taking capabilities for real-time collaboration during sessions, and the ability to create shareable video clips to highlight specific findings. Advanced AI clustering groups similar themes across interviews, while a powerful, Google-like search function allows users to instantly query their entire research repository by keyword, theme, or participant attribute. This creates a single source of truth for all qualitative data.

What sets Looppanel apart is its deep integration of AI specifically for qualitative analysis, going beyond simple transcription to understand context and themes. It provides robust research source traceability, linking every insight back to the original recording timestamp. The platform emphasizes enterprise-grade security with role-based access control, ensuring data compliance for sensitive user research. It supports seamless research data migration and functions as a unified system that automates the workflow from data collection to insight sharing, differentiating it from generic note-taking or video storage tools.

Ideal for UX researchers, product managers, and market researchers in tech companies, agencies, and enterprises conducting regular user interviews, usability tests, and customer feedback analysis. Specific use cases include analyzing NPS or customer support call logs, synthesizing findings from longitudinal studies, and building a centralized knowledge base that entire product teams can access to inform design and development decisions. It is particularly valuable for distributed teams requiring global research support and consistent analysis methodologies.

The tool offers a free plan with core functionality, while paid plans start from $30 per month per user, providing advanced features like increased storage, more AI analysis credits, and enhanced collaboration tools suitable for growing teams and professional research operations.