Leapfrog is a qualitative research platform designed to facilitate large-scale analysis and understanding of qualitative data. With the advent of large language models (LLMs), AI can now accelerate research by vectorizing text and providing dimensionality to qualitative data. This enables the application of quantitative analysis techniques to natural language, allowing for deeper and more scalable insights. Leapfrog leverages AI to:
  • Vectorize and cluster qualitative data for pattern recognition
  • Filter noise and highlight relevant information
  • Accelerate the synthesis of user interviews, focus groups, and usability tests
Leapfrog is intended to enhance, not replace, traditional qualitative research processes. It reduces the time required for data analysis, enabling researchers to focus on generating insights and conducting more comprehensive studies.