Design a KPI Dashboard
Define the right KPIs for any role or team and design a dashboard layout that surfaces what matters.
The Prompt
Design a KPI dashboard for the following context. Provide: 1. North Star metric (the one metric that defines success) 2. Primary KPIs (5-7) with: metric name, formula, target, frequency 3. Leading vs. lagging indicator classification 4. Dashboard layout recommendation (sections, charts, tables) 5. Alert thresholds (when to be concerned) 6. Drill-down dimensions (how to slice each metric) 7. Data source for each metric Context: - Team/function: [e.g., SaaS Growth Team / Engineering / Customer Success] - Company stage: [EARLY / GROWTH / SCALE] - Business model: [B2B SaaS / E-COMMERCE / MARKETPLACE] - Key decisions made with this data: [WHAT WILL YOU ACT ON?] - Available data sources: [CRM / PRODUCT DB / STRIPE / etc.]
Example Output
North Star: Weekly Active API Callers (teams sending >1000 calls/week). Primary KPIs: 7 metrics including new trial-to-paid conversion, MRR, NRR, median time-to-first-API-call, and support ticket volume per customer. Leading indicators flagged with ⚡. Recommended a 3-section layout: executive summary row, acquisition/retention split, and a cohort retention heatmap.
FAQ
Which AI model is best for Design a KPI Dashboard?
Claude Sonnet 4 — strong on metrics frameworks and how they connect to business decisions.
How do I use the Design a KPI Dashboard prompt?
Copy the prompt, replace the [BRACKETED] placeholders with your specific information, and paste into your preferred AI assistant (ChatGPT, Claude, Gemini, etc.). North Star: Weekly Active API Callers (teams sending >1000 calls/week). Primary KPIs: 7 metrics including new trial-to-paid conversion, MRR, NRR, median time-to-first-API-call, and support ticket volume per customer. Leading indicators flagged with ⚡. Recommended a 3-section layout: executive summary row, acquisition/retention split, and a cohort retention heatmap.
Model Recommendation
Claude Sonnet 4 — strong on metrics frameworks and how they connect to business decisions.