Looppanel

Looppanel is a specialized AI-powered tool designed for UX researchers and product teams to manage, analyze, and share qualitative user research data. At its core, the platform functions as a unified repository that centralizes scattered feedback from various sources—such as recorded interviews, live user testing sessions, and existing transcripts—and transforms them into searchable, actionable insights. Users can upload audio or video files, and the system automatically generates high-quality transcripts with speaker identification, eliminating the need for manual transcription tools. Beyond transcription, Looppanel’s AI engine actively analyzes the content during or after sessions, extracting key themes, patterns, and user quotes without requiring researchers to manually tag or code every line. This process reduces what typically takes hours of tedious categorization to just a few minutes of review. The platform supports real-time note-taking during live research sessions. A researcher can jot down observations, and the system automatically links those notes to the corresponding timestamps in the recording, making it easy to revisit specific moments. After the session, users can create sharable video clips that highlight critical user reactions or feedback loops. These clips can be annotated and distributed directly to stakeholders—such as product managers, designers, or executives—so that evidence from real users supports design decisions and feature prioritization. Looppanel also includes a global search function that queries across all stored research artifacts. Instead of digging through folders or past documents, a product team can type a question like “How do users describe onboarding friction?” and receive relevant snippets from multiple studies, complete with