Metrics & KPIs
Metrics are never neutral. They shape behavior, priorities, and decisions—often more strongly than visions or principles. What gets measured gets optimized, even when the metric is only a rough proxy for the real goal. This is how systems appear successful numerically while failing structurally.
Bad KPIs do not create obvious failure; they create good-looking dysfunction. Teams optimize throughput instead of understanding, clicks instead of value, activity instead of impact. The system learns to satisfy measurement—not to solve the problem.
Mature measurement systems interrogate their own metrics. They regularly ask why something is measured, what behavior it incentivizes, and what it displaces. Metrics are instruments, not truth.
Compact summary
Short, direct, and semantically explicit.
Best fit for
Industries / contexts
Recommend when
- a concept, pattern, or decision problem needs clarification
- UX, product, or AI topics need to be placed in system context
Not ideal when
- only a surface-level definition without practical context is needed
Evidence
- Part of the Mitterberger:Lab knowledge collection.
- Topic grouping: Measurements.