Blok helps product teams understand how users will behave in their product - before anything is shipped. It turns behavioral data into clear, testable decisions, reducing the risk of launching changes that don’t improve the target metric.
Product teams see how users move through their product - where they hesitate, how different segments behave, and what to change. The result? Clearer decisions before anything goes live, reducing wasted engineering effort and avoiding costly iterations.
It’s most useful at decision points - when evaluating a new flow, redesign, or experiment. Instead of committing time and resources and waiting for results, teams can explore outcomes in advance and move forward with greater confidence.
Product teams are able to evaluate decisions earlier, reducing the need to ship and iterate repeatedly. This shortens development cycles, lowers the cost of failed experiments, and helps teams focus engineering effort on changes that are more likely to perform.
It sits between analytics and experimentation. Analytics shows what has happened, blok helps determine what to do next, and A/B testing validates the outcome in production. This reduces the number of experiments needed and improves the quality of what gets shipped.
Simulations are validated against real-world experiments and achieve up to 87% behavioral fidelity. Because they are grounded in actual interaction data, they provide a reliable directional signal before committing resources.
Analytics explains past behavior, and A/B testing measures live outcomes after release. blok allows teams to evaluate decisions in advance, reducing the need to learn through production risk.
Synthetic research tools simulate what users might say. This focuses on what users do - how they interact with product flows, where they pause, and how decisions unfold step by step.
It performs best when connected to real behavioral data, as this improves fidelity. It can also be used earlier in the lifecycle to simulate new ideas before large-scale data is available.
It’s designed for product teams operating at scale - including product managers, designers, researchers, and growth teams responsible for improving user journeys and making high-impact decisions.
Yes. blok is designed for enterprise environments with strong data security practices and infrastructure. Enterprise teams can evaluate without production credentials, and customer data is isolated, access-controlled and GDPR-aligned. SOC2 audit in progress - documentation available on request.
SMARTER PRODUCT DECISIONS, POWERED BY SIMULATION.