When multiple measurement errors are present simultaneously — attribution overlap, benchmark misreads, and sampling gaps — the compounded effect looks like a healthy system. Individual metrics each appear within range while the underlying reality is deteriorating. No single metric flags the problem.
Strategic decisions are made on metrics that each appear healthy, while the combined distortion hides a deteriorating growth system.
Individual metric thresholds stop being sufficient to detect compounded system-level deterioration.
No single metric is in an alert state, but multiple metrics — attribution overlap, benchmark comparisons, and sampling indicators — are each slightly off in the same direction. The system looks within range everywhere while outcomes (revenue, retention, pipeline conversion) are deteriorating.