(beta) Testing Web Apps With Model-Driven Behavioral Cohorts — Predict and Improve UX Before Launch

Testing Web Apps With Synthetic Users

Coming Soon — Currently in Beta

We’re testing something exciting at Moveo One.

For years, we’ve helped teams understand real user behavior — now, we’re teaching software to recreate it.

Our new model-driven behavioral cohort technology is currently in beta.

It allows Moveo One to mimic authentic user interactions — clicks, scrolls, hesitation, drop-offs — using models trained on thousands of real behavioral patterns captured across web and mobile experiences.

Instead of waiting for live users to uncover friction, model-driven synthetic users predict friction in your product before launch.

They replicate attention, confusion, and intent the same way your real audience would — but in a controlled environment.

We’re already seeing remarkable results with sign-up and onboarding forms.

Synthetic users can complete flows, identify elements that confuse or slow them down, and flag moments of cognitive friction — all before your first user ever lands on the page.

This unlocks a completely new way to validate UX:

✅ Detect issues without live traffic

✅ Compare multiple design versions instantly

✅ Predict where engagement will drop before it happens

By learning from behavioral data Moveo One already understands, we can build test scenarios that feel human — not random automation scripts, but models that mirror real human behavior at scale.

Right now, the feature is in closed beta, and our team is continuously refining how synthetic users learn and adapt to new UI layouts and flows.

Next, we’re extending it to multi-step journeys, pricing pages, and e-commerce checkouts.

We’re thrilled by how this changes the way teams test, and can’t wait to open early access soon.

If you’ve ever wished you could watch a realistic usability test — before your app is even live — this is exactly what Moveo One is building.

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