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Intervool is a customer research and qualitative analysis workspace designed to help teams capture, organize, and make use of customer interviews. It supports video, audio, and note uploads, then generates transcripts, searchable findings, and evidence-linked insights so research is easier to review and share. The app is built around turning interview data into structured outputs such as pain points, feature requests, opportunities, and quotes, with each insight connected back to the source moment in the conversation.
The platform also helps users synthesize research across interviews by grouping findings into themes, building personas and customer segments from real interview signals, and tracking feature ideas in a roadmap view. An AI assistant can answer questions about the research repository, surface patterns across calls, summarize personas or segments, and help identify gaps in the current research. Intervool is intended for founders, product managers, and research teams that want to move from raw customer conversations to organized product decisions in one workspace.
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