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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:

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1. Interview

• Conduct and record user interviews or research sessions to collect qualitative data (audio or video).

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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.

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3. Coding

• Use coding tools to tag and categorize key themes, concepts, and patterns in transcripts.
• Coding organizes complex conversations into manageable insights.

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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.

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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.

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6. Analytics

• Visualize findings with charts and reports.
• Use analytics tools to communicate insights with your team and stakeholders.

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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.