Leading vs Lagging Indicators
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Leading indicators are metrics that predict future outcomes, while lagging indicators reflect results of past actions.
Understanding how to measure and interpret product metrics is essential for making informed decisions about your product’s direction. Two key types of metrics are leading indicators and lagging indicators. Leading indicators are metrics that provide early signals about future performance. These are predictive in nature and help you anticipate what is likely to happen. For instance, if you are tracking the number of users who start a free trial, this can be a leading indicator for future paid subscriptions. By monitoring leading indicators, you can make proactive adjustments to your strategy before final results are visible.
On the other hand, lagging indicators measure the outcomes of actions that have already occurred. These metrics reflect past performance and are useful for assessing whether your strategies and initiatives have achieved their intended results. For example, monthly recurring revenue (MRR) is a lagging indicator—it tells you how much revenue was generated in the previous month, but it does not provide insight into what will happen next month.
Number of users completing onboarding. This metric predicts future engagement and retention, as users who finish onboarding are more likely to become active users.
Churn rate. This shows the percentage of users who left your product in a given period, reflecting the outcome of user experience and engagement efforts.
- Use when you want to identify potential issues or opportunities early, allowing you to intervene before results are finalized.
- Use to evaluate the effectiveness of completed initiatives and to validate whether your product goals were met.
Both types of indicators are crucial for a balanced product analytics strategy. Leading indicators help you steer and optimize your actions in real time, while lagging indicators confirm whether your efforts have delivered the desired outcomes. By combining both, you gain a comprehensive view of your product’s health and can plan more effectively for future growth.
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