Knowledge Base · Measurement

What's the difference between leading and lagging measures?

A lagging measure reports a result after it has happened: last month's defects, revenue, response times. A leading measure is an earlier signal that moves before the result and predicts it, while you can still act. Lagging measures tell you whether you won; leading measures tell you whether you are likely to, in time to change something.

Think of the two as the scoreboard and the play. A lagging measure is the scoreboard: it confirms an outcome once the work is done. Defects shipped, sales closed, average customer response time for the month, a Net Promoter Score. By the time it moves, the result it describes is already in the past, and all you can do is react to it.

A leading measure is one of the plays: an earlier, observable signal that tends to produce the later result. It moves while there is still time to intervene. Dave's CI Foundations course gives a worked example from its measurement module: a team's CI maturity score, assessed against a rubric, acts as a leading indicator, because teams whose maturity score is rising tend to outperform teams whose score is flat or falling. The outperformance is the lagging result; the rising score is the signal that arrives first.

Neither kind is safe on its own. Lagging measures alone mean you always learn too late. Leading measures alone invite vanity metrics: activity numbers that look healthy while the customer outcome quietly worsens. The course teaches the pairing rule: pair every output metric with an outcome metric, and pair every leading indicator with a lagging one. The leading measure tells you where to push this week; the lagging measure tells you, honestly and eventually, whether the pushing worked.

“Pair every output metric with an outcome metric. Pair every leading indicator with a lagging one.”

CI Foundations course, Module 7

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Source: CI Foundations course, Module 7 (Making It Stick: Measurement & Sustainability).

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