Transcript Synthesis & Analysis

## What You'll Learn - The complete workflow from audio/video recording to synthesized insights - How to choose transcription tools (Otter.ai, Descript, Claude) based on your needs - The AI synthesis prompt that extracts themes, pain points, and quotes automatically - Real example: 45-minute interview → synthesized insights (full transcript included) - How to organize insights across 5-20 interviews without drowning in data - When to use AI analysis vs. manual analysis (and why you need both) --- ## Why This Matters (3 min read) **The Scenario:** You just finished 10 customer interviews. Each was 30-45 minutes. You took notes, but they're messy. You have: - 7 hours of audio recordings - Scattered notes in your notebook - Vague memories of "that one person who said something important" - A looming deadline to present findings to your team **The Old Way:** 1. Listen to all 7 hours of audio again (8-10 hours with pausing/rewinding) 2. Manually transcribe key quotes (or pay $100+ for transcription) 3. Read through 60+ pages of transcripts 4. Highlight patterns by hand in different colored markers 5. Create a synthesis document in Google Docs 6. Realize you missed important connections between interviews 7. Start over **Time...