Blok processes product usage data to create synthetic user agents that simulate interactions across key flows such as onboarding, pricing, and feature adoption.

The platform generates predictive models of friction, drop‑off, and lift, allowing product teams to test hypotheses, prioritize changes, and reduce experimental cycles before shipping.