Product Analytics Dashboard Design
Design a comprehensive product metrics dashboard for [product area]. Specify: 1) 3-5 primary KPIs with exact calculations and business relevance, 2) 5-8 secondary metrics that provide diagnostic information, 3) Required data sources and collection methods, 4) Segmentation dimensions for analysis (user types, platforms, etc.), 5) Visualization types for each metric with rationale, 6) Threshold values that would trigger investigations, 7) Recommended analysis cadence, and 8) Specific action plans for different metric movements.
How to Use This Prompt
- Copy the prompt using the button above
- Replace placeholders in [brackets] with your specific details
- Paste into your AI assistant (ChatGPT, Claude, Gemini, etc.)
- Iterate as needed - ask follow-up questions to refine the output
Why This Prompt Works
This prompt goes beyond listing metrics by requiring exact calculation methods, threshold values, and specific action plans tied to metric movements. The eight-part structure ensures your dashboard is not just informational but operational -- every metric has a defined purpose, a visualization rationale, and a clear response plan when numbers deviate from expectations.
When to Use This Prompt
- Setting up a new product area's analytics infrastructure from scratch and need a complete spec for engineering
- Revamping an existing dashboard that has become cluttered with vanity metrics
- Aligning cross-functional teams on which metrics matter most and what actions each movement triggers
Tips for Better Results
- Name your specific analytics tool (Amplitude, Mixpanel, Looker) so the AI can tailor visualization recommendations
- Include your current top 2-3 business goals so the KPIs tie directly to outcomes leadership cares about
- Mention your team's data maturity level to get appropriately complex or simple metric definitions