> ## Documentation Index
> Fetch the complete documentation index at: https://docs.leapfrogapp.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Synthesis workflow

> Learn how to use AI clustering in Leapfrog for automated data analysis and insight extraction

# 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.

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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.