Tag: engagement

Engaged users are often different before an intervention begins. Causal inference helps separate “the feature worked” from “the feature found users who were already likely to succeed.”

Cooldown mechanics can give AI products natural stopping points, protect sleep and attention, and turn breaks into part of the experience rather than a penalty for disengaging.

Personalized AI needs exploration as well as exploitation: without deliberate novelty, the system can become accurate but increasingly narrow and predictable.