CM-101 · Module 3

Measuring Transformation, Not Usage

3 min read

Usage metrics lie. 80% adoption could mean 80% of people logged in once, ran one query, got a result they did not use, and closed the tab. That is not transformation. That is a vanity metric with a percent sign.

Transformation metrics tell a different story: are decisions being made differently? Are workflows changing? Is the organization's capability increasing? Is the work that previously required three people now being done by one? Those are the questions that measure whether the AI initiative is producing its intended outcome.

Do This

  • Measure workflow change: has the process for completing the task changed?
  • Measure decision quality: are decisions based on better information, made faster?
  • Measure time-to-completion: how long does the key workflow take before and after?
  • Measure error rate: is the quality of output improving alongside the speed?
  • Measure capability expansion: are people doing things they could not do before?

Avoid This

  • Report monthly active users as an adoption metric
  • Count logins as evidence of transformation
  • Measure hours saved without measuring what those hours are now being used for
  • Report user satisfaction scores without measuring behavioral change