Measurement

Measurement is the act of translating something observed into a number, category, score, signal, or record that can be compared, evaluated, tracked, or used in decisions.

Measurement is not automatically good or bad.

At its best, measurement helps people notice patterns, compare conditions, track change, coordinate action, and make better decisions.

Some measurements are simple counts, observations, categories, or values. A simple measurement might be:

  • Number of calls answered
  • Wait time
  • Defect count
  • Customer rating
  • Revenue

Others are calculated from relationships between measurements, such as rates, ratios, averages, indexes, or scores. A relational/calculated measurement might be:

  • Conversion rate
  • Error rate
  • Revenue per customer
  • Cost per transaction
  • Employee turnover rate

A composite metric is a special type of measurement that combines multiple measurements into a single signal. Composite metrics can be useful because they simplify complexity. But they can also hide important differences between the parts being combined.

But measurement is never neutral once people begin responding to it.

A measure can change attention.
It can change priorities.
It can change behavior.
It can change what people protect, ignore, improve, hide, or perform.

In MNKY Math, measurement matters because it often becomes part of the system it was meant to observe.

Once a measure is used for evaluation, reward, punishment, ranking, funding, promotion, control, or public judgment, people may begin adapting their behavior to the measure itself.

That does not make measurement useless.

It means measurement has to be interpreted inside the system that produced it.

The key question is not only: What did we measure?

But also: What did measurement change?


MNKY Math implications

When looking at a measure, MNKY Math asks:

  • What is this measure trying to make visible?
  • What does it leave out?
  • Who responds to it?
  • What behavior does it reward?
  • What behavior does it discourage?
  • What might people do differently because this measure exists?