Write Case Studies from Customer Interviews
Turn a 30-minute customer call recording into a publish-ready case study with a compelling narrative arc and concrete results.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Transcribe the Interview
Upload the call recording to Fireflies.ai or Otter.ai to get a clean transcript with speaker labels.
Step 2
Extract the Story Structure
Prompt Claude to read the transcript and pull out: the customer's situation before, their core challenge, the solution they used, and the specific results they mentioned.
Step 3
Draft the Case Study
Use the extracted structure to write a full case study draft in ChatGPT following the Problem-Solution-Result format, keeping the customer's voice intact.
Step 4
Add Data and Specifics
Scan the transcript for any numbers, timelines, or percentages the customer mentioned and weave them into the draft for credibility.
Step 5
Polish for Publication
Run the draft through Grammarly for clarity and tone, then format it in your CMS or Notion for review before publishing.
Time Required
1–1.5 hrs
Expected Result
A 600–900 word case study with situation, challenge, solution, and results sections, ready for the website or sales deck.
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