Leading vs Lagging Indicator
Definition
A leading indicator is a metric that moves before the outcome it predicts and can be influenced directly in the short term; a lagging indicator records the outcome itself, after the work that produced it is complete. Most measurement systems need both — the lagging indicator says whether you won, and the leading indicator says whether you are on course to.
A leading indicator has to pass two tests: it must plausibly cause the outcome, and the team must be able to move it inside a week. Frameworks carry the pair under their own names — 4DX calls them lead and lag measures, balanced scorecard separates performance drivers from outcome measures, and OKR key results are usually lagging, which is why many teams track a short list of health metrics alongside them.
The causal link is a hypothesis, and it is rarely retested once the metrics are chosen. Leading indicators are also the ones most often collected by hand, so they are first to go stale in a busy quarter, leaving a dashboard of lagging numbers that describe a period already closed. Leading and lagging are not properties of a metric either: the same number leads one outcome and lags another.
Example
Lagging: 90-day logo retention, 84% today, 91% target. Leading: share of new accounts completing an onboarding call within ten days, currently 58%. Accounts that complete the call retain at 93% against 76% for those that do not, which is what makes the second number worth watching weekly.
See also: scorecard software