As the Chief Information Officer overseeing enterprise AI adoption, you are reviewing monthly adoption reports...

The key issue in this scenario is distinguishing between occasional usage and habitual, embedded usage . While overall active user counts remain stable, leadership needs to understand how frequently users engage with the system —specifically whether AI is becoming part of daily workflows.

The most appropriate metric for this is Stickiness (DAU/MAU) :

DAU (Daily Active Users) measures how many users engage with the system daily.

MAU (Monthly Active Users) measures how many users engage at least once per month.

The ratio (DAU/MAU) indicates how frequently users return and whether usage is habitual.

A high stickiness ratio suggests that users rely on the system regularly, while a low ratio indicates sporadic or occasional use—exactly the concern described in the scenario.

Other options are less relevant:

Time to First Value measures onboarding efficiency.

Adoption rate measures overall usage penetration, not frequency.

Feature adoption rate measures usage of specific features, not habitual engagement.

CAIPM emphasizes that for scaling decisions, organizations must assess not just adoption, but depth and frequency of usage , ensuring AI is embedded into daily operations.

Therefore, the correct answer is Stickiness (DAU/MAU) , as it directly measures habitual engagement versus occasional interaction.