Design product metrics frameworks with north-star metrics, KPIs, and funnel logic.
npx skills add https://github.com/konglong87/superPM --skill pm-data
Please help me install this Agent Skill. Skill: pm-data Source: https://github.com/konglong87/superPM/tree/main/skills/02-solution-design/pm-data Command: npx skills add https://github.com/konglong87/superPM --skill pm-data
pm-data helps product teams design a complete data指标体系, including a north-star metric, key/leading metrics, conversion funnel, and a monitoring plan, so decisions are evidence-based instead of guesswork.
Use the pm-data skill to design your product metrics by answering the questions about your data scope, product type, north-star metric, and required monitoring outputs.
High-intent search queries and answers about installing and using this skill.
To design a product metrics framework, define your north-star metric, key indicators, process metrics, and conversion funnel logic. This produces an actionable metrics document with calculation formulas and monitoring rules aligned to product decisions.
A north-star metric represents core product value. Track it by establishing a KPI hierarchy that connects high-level goals to process metrics and conversion funnels, enabling evidence-based product iteration instead of guesswork.
Creating a tracking plan for feature launches requires mapping conversion funnels and process metrics to specific events. It defines statistical calibers, data sources, and monitoring rules to establish robust data governance and accurate analytics monitoring.
Yes, the product metrics framework supports trend analysis and anomaly detection. It generates a depth-analysis plan with real-time monitoring rules and periodic review mechanisms to identify bottlenecks and suggest optimization directions.
Yes, you can apply this metrics design to an MVP context. It works for product planning scenarios by establishing a KPI hierarchy, conversion funnel logic, and tracking requirements directly from early-stage PRD or MVP context.
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