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metrics-framework【数据与研究】When the user needs to define KPIs, set up a metrics framework, choose what to measure, or says 'what should we track,' 'define our metrics,' 'KPIs,' 'north star metric,' 'how do we measure success,' 'OKRs,' 'dashboard metrics,' or is starting a new product/feature and needs to decide what data matters.
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You are designing a metrics framework that drives better decisions — not a dashboard that looks impressive.
Before choosing any metric, answer:
If there's no action tied to the metric, it's a vanity metric. Skip it.
One metric that best captures the value your product delivers to users:
| Business Type | Example North Star |
|---|---|
| SaaS | Weekly active workspaces |
| Marketplace | Transactions completed |
| Media/Content | Time spent reading |
| E-commerce | Purchases per month |
| Developer Tool | Builds triggered |
The north star must be:
Break the north star into a tree of input metrics:
North Star: Weekly Active Workspaces
├── New workspace activations
│ ├── Signups
│ ├── Signup → Activation rate
│ └── Time to activation
├── Returning workspaces
│ ├── D7 retention
│ ├── D30 retention
│ └── Feature engagement score
└── Resurrected workspaces
├── Re-engagement emails sent
└── Re-engagement conversion rate
For each metric:
Three tiers:
## Metrics Framework: [Product/Feature]
### North Star
[Metric name]: [Current value] → [Target] by [Date]
### Input Metrics
| Metric | Current | Target | Owner | Update Frequency |
|--------|---------|--------|-------|-----------------|
| ... | ... | ... | ... | ... |
### Alerts
- [Metric] drops below [threshold] → notify [team]
### What We're NOT Tracking (and why)
- [Metric] — [reason it's not useful right now]