Why metric definitions drift, and what actually stops it

Sun, 19 Jul 2026 00:00:00 +0000

A familiar situation: two dashboards report active users, the numbers differ by eleven percent, and the meeting stops while everyone tries to work out which is right. Someone volunteers to reconcile them. Two weeks later a third dashboard exists.

The instinct is to treat this as a data quality problem and go looking at the pipeline. Occasionally that is where the answer is. Far more often both numbers are computed correctly and they are answering different questions — one counts any session, the other counts a meaningful action; one attributes to signup date, the other to first activity; one excludes internal accounts and the other never knew to.

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Why metric definitions drift, and what actually stops it