What it does
Feeds interview notes, survey data, and analytics into AI to produce a journey map with stages, emotions, touchpoints, and opportunities.
Why I recommend it
Journey mapping is powerful but time-consuming. Automation accelerates workshops and alignment.
Expected benefits
- Shared understanding across teams
- Faster identification of friction points
- Better prioritization of improvements
- Documentation for onboarding and training
How it works
Gather qualitative/quantitative data -> Claude synthesizes into stages (Aware, Consider, Onboard, Adopt, Expand) with callouts -> exports to Miro/FigJam/Notion for editing.
Quick start
Summarize existing interviews manually and ask AI to format as journey to test accuracy.
Level-up version
Include persona-specific variations, embed metrics (CSAT, time to value), and link improvements to backlog items.
Tools you can use
Whiteboards: Miro, FigJam
Docs: Notion, Coda
AI: Claude
Automation: Zapier, Make
Also works with
Employee onboarding journeys, supplier experience mapping.
Technical implementation solution
- No-code: Airtable interviews -> Zapier -> Claude -> Notion page + Miro board template.
- API-based: Data warehouse + transcripts -> AI -> vector graphics exported to Miro via API.
Where it gets tricky
Maintaining up-to-date customer insights, ensuring cross-functional buy-in, and capturing emotional nuance accurately.
