One post tagged with "ai-features"

Your AI feature launched three months ago. DAU is up. Session length is climbing. Your dashboard looks green. But here is the uncomfortable question: are your users actually adopting the feature, or are they just tolerating it?

Most teams track AI feature adoption with the same metrics they use for traditional product features — daily active users, session duration, feature activation rates. These metrics worked fine when features behaved deterministically. Click a button, get a result, measure engagement. But AI features are fundamentally different: their outputs vary, their value is probabilistic, and users develop trust (or distrust) through repeated exposure. The standard metrics don't just fail to capture this — they actively mislead.