AI Metrics

AI metrics are the measurements used to evaluate whether an AI initiative is achieving its goals. The most useful AI metrics are behavioral — what people actually do — rather than attitudinal (what people say about AI) or access-based (who has licenses). Key behavioral metrics: weekly active usage rate (what percentage of employees used AI at least once this week), hours saved per person per week (self-reported), use cases per employee (how many distinct tasks has each person incorporated AI into), and adoption rate at 30/60/90 days.

Organizations that track these metrics have significantly better adoption outcomes than those that don't.