What it does
Pulls Amplitude feature usage metrics and sends stakeholders a digest showing adoption trends, power users, and drop-off risks.
Why I recommend it
Product teams need consistent visibility. Automation keeps insights flowing without analysts rebuilding reports weekly.
Expected benefits
- Faster detection of adoption dips
- Clear wins to share with GTM teams
- Data-backed roadmap discussions
- Alignment between product, CS, and marketing
How it works
Scheduled Amplitude query -> calculates feature adoption %, stickiness, and cohort comparisons -> packages insights + charts into email/Slack message with commentary (AI-generated) -> logs to Notion.
Quick start
Build a manual dashboard focusing on top 5 features. Share weekly; gather feedback before automating distribution.
Level-up version
Segment by customer tier, include predictive churn signals, and trigger lifecycle campaigns when adoption falls below thresholds.
Tools you can use
Analytics: Amplitude, Mixpanel
Communication: Slack, Email, Coda
Automation: Amplitude Notebooks, Zapier, Workato
AI commentary: Claude
Also works with
Pendo, Heap, GA4 event tracking.
Technical implementation solution
- No-code: Amplitude scheduled email + Claude summarisation via Zapier.
- API-based: Cron hits Amplitude Export API -> Python processes -> Claude commentary -> SendGrid email + Slack.
Where it gets tricky
Defining feature events consistently, handling data latency, and preventing alert fatigue with too-frequent updates.
