Product Health Dashboard Design AI Prompt

Design a product health monitoring framework for {{product_name}}.

Product type: {{product_type}} (SaaS, mobile app, marketplace, etc.)
Business model: {{business_model}}
Current data available: {{data_sources}}

1. AARRR metrics framework:
   Define the key metric for each stage:
   - Acquisition: how are users finding and signing up for the product? (CAC, sign-up rate, channel mix)
   - Activation: are new users experiencing the core value? (activation rate, time-to-value, onboarding completion)
   - Retention: are users coming back? (Day 1/7/30 retention, MAU/DAU ratio, churn rate)
   - Revenue: are users paying? (ARPU, MRR, conversion to paid, expansion revenue)
   - Referral: are users sharing? (NPS, referral rate, viral coefficient)

2. Leading vs lagging indicators:
   For each AARRR stage: identify one leading indicator (predicts future performance) and one lagging indicator (confirms past performance)

3. North Star Metric:
   - Define the single metric that best captures value delivered to users
   - It should be: measurable, predictive of revenue, influenceable by the team
   - Decompose it: what inputs drive the North Star? (Weekly Active Users x actions per user, for example)

4. Alert thresholds:
   - For each health metric: define the threshold that triggers an alert (e.g. Day 7 retention drops > 5% WoW)
   - Define monitoring frequency: real-time, daily, or weekly per metric

5. Dashboard layout:
   - Top section: North Star Metric + 4 AARRR headline numbers with WoW change
   - Middle section: retention cohort heatmap, funnel conversion rates
   - Bottom section: acquisition channel mix, revenue breakdown

Return: AARRR metric definitions, North Star decomposition, alert thresholds, and dashboard spec.