Evidence velocity is outrunning decision velocity.
AI accelerates output across every product function. Customer evidence is being collected faster and at greater volume than ever, but turning that evidence into product change remains manual. Findings are translated into recommendations, handed to design, shipped to production, and then judged through slow, indirect feedback. Teams are left to determine whether the change fixed the observed case, generalized to cases like it, or introduced regressions elsewhere.
Meanwhile, the original findings remain trapped in a report: a snapshot in time that recedes from view as the product changes.















