Steven’s AI-Driven Adoption & Customer Journey Optimization framework uses machine learning to uncover how customers move through a product, what drives them to adopt key (especially AI-powered) features, and where friction slows them down. By unifying product behavior, engagement, and journey data, Steven builds predictive models that identify adoption signals, map high-value pathways, and detect drop-off points. These insights power personalized onboarding, intelligent nudges, and adaptive customer journeys that accelerate activation, deepen engagement, and increase long-term retention. The result is a self-optimizing product-growth engine built on data, not guesswork.