What it does
Automatically transcribes customer interview recordings and uses AI to extract key insights, pain points, feature requests, and quotes, then logs them to Productboard for product team review.
Why I recommend it
Customer interviews contain gold, but insights stay trapped in recordings no one reviews. AI extraction surfaces patterns and priorities automatically, ensuring customer voice drives your roadmap.
Expected benefits
- 90% faster insight extraction
- Zero lost customer feedback
- Data-driven product decisions
- Better feature prioritisation
How it works
Customer call completes (Zoom, Gong, Fireflies) -> transcribe audio to text -> AI analyses transcript for themes (pain points, feature requests, use cases, competitive mentions, buying criteria) -> generate structured summary -> create Productboard note with insights tagged by theme.
Quick start
Manually review your last 5 customer calls. Extract key insights and log to Productboard. Note how long it takes. Send one transcript to Claude asking for key insights. Compare output, refine prompt, then automate.
Level-up version
Link insights to existing feature requests (upvote automatically). Identify most-mentioned pain points across all calls. Generate competitive intelligence report. Segment insights by customer segment. Alert product team to recurring themes.
Tools you can use
Transcription: Fireflies.ai, Otter.ai, Gong, Zoom auto-transcription
AI: Claude API, ChatGPT API for analysis
Product management: Productboard, Canny, Aha!
Call recording: Zoom, Google Meet, Gong
Automation: Zapier, Make, n8n
Also works with
PM tools: Jira, Linear, GitHub Issues for feature requests
Customer success: Gainsight, ChurnZero for feedback
Research: Dovetail, UserTesting for research synthesis
Technical implementation solution
- No-code: Zoom call ends -> Fireflies auto-transcribes -> download transcript via Zapier -> send to Claude API with insight extraction prompt -> manually add to Productboard.
- API-based: Call recording webhook -> transcription API -> Claude API analyse for insights (structured output: pain points array, feature requests array, quotes, sentiment) -> Productboard API create note with tags -> link to customer record.
Where it gets tricky
Ensuring transcription accuracy for domain-specific terms, distinguishing customer wishes from actual needs, handling confidential or sensitive call content, and avoiding insight overload (too many notes dilute value).
