Definition
A leading metric predicts future outcomes (e.g., activation rate predicts retention), while a lagging metric reflects past results (e.g., revenue, churn). Both are essential: leading metrics allow PMs to intervene early, and lagging metrics confirm whether interventions worked. PMs should build dashboards that pair leading indicators with lagging outcomes to create a complete picture of product health.
Why It Matters for Product Managers
Understanding metric is critical for product managers because it directly influences how teams prioritize work, measure progress, and deliver value to users. PMs should build dashboards that pair leading indicators with lagging outcomes to create a complete picture of product health. Without a clear grasp of this concept, PMs risk making decisions based on assumptions rather than evidence, which can lead to wasted engineering effort and missed market opportunities.
How It Works in Practice
Product teams put this concept into action by integrating it into their regular workflow:
The value of metric compounds over time. Teams that commit to it consistently see improvements in velocity, quality, and cross-functional alignment.
Common Pitfalls
Related Concepts
To deepen your understanding, explore the related concept: North Star Framework.