A/B testing is retrospective: it tells you what worked after exposing real users to different variants, often requiring significant traffic and time to reach significance. Blok is predictive. We simulate how different types of users, modeled after real behavioral clusters, will respond to a change before it goes live. This allows teams to de-risk decisions, compare variants faster, and prioritize ideas with higher behavioral upside without needing to wait weeks for live test results.
Each simulated user (or âagentâ) is generated from a combination of behavioral modeling, decision heuristics, and interaction priors. We train these agents using real-world product usage data and validated behavioral science frameworks (e.g., cognitive biases, decision styles, attention patterns). Agents can represent different clusters - like high-intent users, skimmers, skeptics, or risk-averse types - allowing us to test how each would behave in your product context. Over time, the models get smarter through backtesting and continuous fine-tuning across use cases.
Blok doesnât aim for pixel-perfect prediction. It aims for directionally accurate, explainable insights that help teams make better decisions faster. In backtests, Blok has predicted variant performance trends (e.g., which UX flow will perform better across different personas) with high alignment to real-world outcomes. Accuracy improves as we calibrate on more product types and task patterns. Think of it like a wind tunnel for UX - it wonât replace production data, but it helps catch issues and opportunities before they become costly.
Blok is designed for product managers, UX researchers, growth teams, and design leads - anyone responsible for building or optimizing user-facing experiences. Itâs especially useful for teams working on onboarding, conversion, activation, retention, and feature adoption - where user behavior makes or breaks performance. That said - we're also seeing marketing teams use us to test copy ahead of going live.
You can use Blok to simulate and optimize:
- Landing pages and signup flows
- Onboarding journeys
- Pricing page structure
- Feature placement and UI layout
- CTA messaging and copy variants
- Prototype usability
- New feature previews
- User flow comparisons across personas
Basically, anywhere you'd normally A/B test, run usability studies, or make product changes based on gut feel - Blok can simulate behavior before you commit.
Book a Demo. Weâre currently onboarding select teams and partners - once approved, youâll get access to our dashboard, data integration options (or upload flow), and a tailored simulation setup with our team.