Skip to main content Synthesis Workflow Leapfrog provides an AI-powered workflow for qualitative research, enabling efficient progression from raw interviews to actionable insights. The following steps outline the synthesis process:
1. Interview
Conduct and record user interviews or research sessions to collect qualitative data (audio or video).
2. Transcribing
Upload recordings to Leapfrog.
The platform transcribes audio and video into text, supporting multiple languages and offering options for redaction and filler word removal.
3. Coding
Use coding tools to tag and categorize key themes, concepts, and patterns in transcripts.
Coding organizes complex conversations into manageable insights.
4. Canvas
Move coded data onto the Canvas for visual mapping and clustering.
Organize quotes, notes, and themes; use AI-powered clustering to group related data points.
5. Chat
Use the AI-powered chat to ask questions, generate summaries, and receive feedback on your data.
The chat feature provides contextual answers based on your research data.
6. Analytics
Visualize findings with charts and reports.
Use analytics tools to communicate insights with your team and stakeholders.
Workflow Summary Leapfrog’s workflow enables you to:
Capture and transcribe qualitative data
Code and organize key themes
Visualize relationships and patterns
Interact with data using AI chat
Analyze and present findings
This integrated workflow supports efficient, collaborative, and AI-powered qualitative research synthesis. 