You've probably heard something like this in a steering committee or status review:
"The team's velocity is down."
"Our utilization numbers are improving."
"Predictability looks strong this quarter."
The metric is presented.
A conclusion quickly follows.
And everyone moves on.
But I've been thinking about a question that often goes unasked:
What does the metric actually measure?
Velocity measures work completed.
Utilization measures allocation.
Predictability measures delivery against a plan.
Yet those metrics are often treated as evidence of something much larger:
• Productivity
• Efficiency
• Execution excellence
Over time, I think something subtle can happen.
The metric doesn't change.
The interpretation does.
And once an interpretation becomes widely accepted, teams may begin optimizing for the interpretation rather than the underlying outcome leaders actually care about.
This has made me think differently about dashboard reviews and performance discussions.
Perhaps one of the most valuable questions we can ask isn't:
"Is the metric improving?"
But:
"What assumptions are we attaching to this metric?"
Curious how others here think about this.
Have you encountered examples where a metric became associated with a meaning that extended beyond what it was actually measuring?
How do you prevent that kind of interpretive drift in your organizations?
