metrics-tracking

To set up a product metrics framework, define your North Star Metric and related L1 health indicators in the configuration, then establish L2 diagnostic metrics to track user engagement and retention across the user lifecycle.

L1 metrics serve as high-level health indicators that measure overall product performance against your OKRs, while L2 metrics are diagnostic metrics used to analyze specific user engagement issues and understand the root causes behind L1 trends.

You can build a metrics dashboard by configuring your defined L1 and L2 retention analysis metrics into the tracking system, enabling real-time performance monitoring for weekly, monthly, and quarterly data-driven review cadences.

Yes, when launching a new product you can use this framework to establish a comprehensive metrics system from scratch, setting up OKRs, defining baseline L1 and L2 metrics, and building a monitoring dashboard for continuous performance evaluation.

Yes, defining and interpreting product metrics requires analysis of existing user and business data to accurately set OKRs, establish lifecycle benchmarks from acquisition to monetization, and validate your diagnostic L2 metrics.

The best way to implement review cadences is to configure weekly, monthly, and quarterly review sessions within your metrics dashboard, ensuring data-driven decisions are made consistently based on L1 health indicators and L2 diagnostic data.