Blok is an AI-powered predictive simulation platform designed to help product teams make better decisions faster by simulating user behavior before product changes go live. Unlike traditional A/B testing, which is retrospective and time-consuming, Blok uses synthetic users modeled from real behavioral data to predict how different user groups will interact with new designs or features. This allows teams to de-risk decisions, prioritize ideas smarter, and optimize user experience outcomes with speed and confidence.
Key Features
Simulates distinct user personas based on cognitive biases, attention patterns, and decision heuristics for accurate behavioral predictions.
Provides predictive insights on onboarding, conversion, retention, pricing pages, feature placements, CTAs, and prototype usability.
Continuously improves model accuracy through backtesting and fine-tuning across various product and task patterns.
Offers tailored simulation setups with data integration options accessible via an intuitive dashboard.
Use Cases
Optimize landing pages and signup flows to boost user conversion before live deployment.
Test and refine onboarding journeys and feature adoption strategies to improve user retention.
Evaluate pricing page structures and UI layouts to maximize engagement and revenue.