Mixpanel → Claude → Notion: Product Analytics Reporter

Connect your Mixpanel project and schedule weekly data exports covering key metrics like active users, retention cohorts, feature adoption rates, and funnel conversion rates. Configure the export to include week-over-week comparisons and segment breakdowns by user type.

Pipe the raw Mixpanel exports into a Google Sheet where formulas calculate derived metrics such as week-over-week growth rates, rolling averages, and cohort comparisons. This intermediate step cleans noisy data and adds business context like target benchmarks and OKR thresholds that Claude needs for meaningful analysis.

Send the enriched metrics to Claude with a prompt that identifies notable trends, explains potential causes for metric movements, highlights features gaining or losing traction, and surfaces segments that behave differently from the overall population. Ask for specific recommendations tied to each finding.

Create a Notion database for weekly product reports using a consistent template with sections for key metrics, trend analysis, feature highlights, and recommended actions. Each report is published as a new entry with proper date tagging, making it easy to track how metrics evolve over time.