adoption

Low adoption has four usual causes: people don't see it, don't need it, try it and don't trust it, or find it in the wrong place. Each has a cheap test, and the interviewer wants you to run them before redesigning.

Accuracy and trust are different things. The feature saves no time if people double-check everything, and the fix starts with finding out why experts are cautious.

Users either expect too much from AI features and churn after the first failure, or too little and never try the useful parts. Onboarding sets the mental model that decides which happens.

Licences are not adoption. The interviewer wants the real reasons people don't use the tool, and a plan that embeds AI into specific workflows with champions, measurement and honest pruning.

A packaging decision with adoption, revenue and margin pulling in different directions. The interviewer wants the trade-offs and a structure that captures value without stalling adoption.

Survey says everyone saves five hours a week. Finance does not believe it, and they are right not to. The answer is to measure a few workflows properly instead of the whole company vaguely.

A low attach rate can mean few accounts buy, or buyers don't use it, or the denominator is wrong. Measure penetration inside buying accounts and active use of paid seats before changing the packaging.

Influence without authority is a core PM skill, and AI adoption is a common test case. Panels want to hear how you found what others cared about, made it easy, and built proof.