Leapfrog is a platform designed for qualitative research synthesis, specifically tailored for design research teams. It provides tools to analyze, tag, and visualize qualitative data from user interviews and other research activities, streamlining the research workflow and enabling efficient extraction of actionable insights.

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Purpose

Leapfrog addresses the challenges of synthesizing qualitative data, such as transcribing interviews, coding, tagging, and analyzing information. The platform simplifies these processes with the following capabilities:
  • Transcription: Convert audio and video interviews into text for easier analysis.
  • Tagging and Coding: Categorize key themes and concepts using a robust tagging and coding system.
  • AI-Powered Clustering: Identify patterns and relationships in data using AI-driven clustering.
  • Visualization: Generate visual representations of research findings for effective communication.

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Intended Users

Leapfrog is intended for:
  • UX/UI Designers
  • Design Researchers
  • Product Managers
  • User Experience Teams
It is suitable for product design, user testing, and any qualitative research requiring efficient data analysis.

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Key Features

  • Audio and Video Transcription: Transcribe interviews and media files into editable text.
  • Tagging and Coding: Organize and categorize data with customizable tags and codes.
  • AI-Driven Analysis: Use AI to cluster data and highlight emerging patterns.
  • Real-Time Collaboration: Collaborate with team members in real time.
  • Data Visualization: Create visual reports to share research findings.

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Research Workflow Support

Leapfrog supports grounded theory methods and iterative research processes, enabling teams to move from raw data to actionable insights efficiently. Ready to elevate your research workflow? Get started with Leapfrog today and experience the next level of qualitative research synthesis.