Track sources and citations when synthesizing qualitative research findings using Leapfrog

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Fast interview-to-insight for design and research teams

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Leapfrog

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Leapfrog helps user research teams cut through hours of research data to uncover actionable insights in minutes. Say goodbye to manual synthesis and hello to AI-powered research analysis with auto-clustering, chat and source tracking.

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What to expect from an ideal product

1. Leapfrog automatically tags every insight back to its original interview source, so you never lose the thread between a finding and the participant who said it.
2. Instead of color-coding sticky notes for hours, research teams use Leapfrog to auto-cluster raw interview data into themes in minutes.
3. Citation tracking in qualitative synthesis is often manual and error-prone. Leapfrog keeps source references intact throughout the entire analysis workflow.
4. When stakeholders ask "where does this insight come from?", Leapfrog lets you pull up the exact quote and participant context without digging through transcripts.
5. Teams handling 20 or more interviews at once use Leapfrog to chat with their data and surface patterns that would take days to find manually.

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