What it does
Ingests interview transcripts, metrics, and quotes to craft a structured case study with narrative, results, and pull quotes.
Why I recommend it
Case studies drive sales but are slow to produce. Automation accelerates creation while capturing customer voice.
Expected benefits
- Faster publication of social proof
- Consistent structure and tone
- Better use of customer quotes
- More assets for sales enablement
How it works
Upload transcript + metrics -> Claude drafts sections (Challenge, Solution, Results, Quotes, CTA) -> exports to Google Doc or CMS for design.
Quick start
Feed AI a past finished case study to teach tone, then test with new interview notes.
Level-up version
Create multiple versions by industry/role, auto-generate one-sheet and slide formats, and link to ROI calculators.
Tools you can use
Docs: Google Docs, Notion
AI: Claude
Automation: Zapier, Workato
Also works with
Customer reference sheets, blog success stories, video scripts.
Technical implementation solution
- No-code: Notion database -> Zapier -> Claude -> Doc for review.
- API-based: Transcript stored in S3 -> AI -> Markdown commit to static site repo.
Where it gets tricky
Obtaining approvals from customers, anonymizing sensitive data, and ensuring metrics are accurate.
