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How We’ve Combined Cognitive Analytics with Predictive UX

Moveo One bridges neuroscience and predictive UX. Discover how cognitive analytics powers AI models that forecast user behavior with up to 99.5% recall — from just a couple of interactions.

Vladimir Jeftović

Vladimir Jeftović

Co-founder & CEO

·Jul 26, 2025·2 min read
How We’ve Combined Cognitive Analytics with Predictive UX

At Moveo One, our roots lie in health-tech — specifically in cognitive and behavioral analytics. Before entering the product analytics space, we spent years tackling complex neurological challenges. In 2024, we published research on neuropathy, and our work has also explored conditions like CIDP, CIPN, and other neurodegenerative disorders.

So, why does this matter for product and UX analytics?

Because Moveo One is built on that very foundation — consolidating neurology, cognitive science, and behavioral insight into tools designed for the next generation of creators. We want to help build a future where data thinks, products evolve, and AI, creativity, and people converge.

It’s Not Just the Model — It’s the Data

We’re all witnessing the rise of AI. At this point, everyone understands the basics: if you have data, you can train a model. But here’s what often gets overlooked:

The real evolution — maybe even the revolution — isn’t just in model architectures.

It’s in the data itself.

You could say it’s like cooking:

  • Everyone has access to stoves (model architectures), recipes (algorithms), and dishes (products).

  • But to create something truly exceptional, you need top-quality ingredients and a skilled chef.

That’s where Moveo One comes in.

Predictive UX in Production

We help our clients build lightweight runtime models that predict user behavior with remarkable precision — even from the earliest interactions.

Want to know:

  • The probability a user will churn?

  • Whether they’ll create an account?

  • If they’ll use a discount or complete a journey?

✅ We do that.

How? By creating proprietary features layered on top of usage data — features rooted in neuroscience. These features act as informational carriers encoding:

  • User attention

  • Cognitive load

  • Willingness to engage

  • Frustration levels (inferred from behavioral patterns)

They’re not just technical variables — they’re behavioral fingerprints.

A Real-World Example

We recently deployed a model for a client that predicts account creation with:

  • 94% overall accuracy

  • A tuned version achieving 99.5% recall

This means we could identify — at the very beginning of user engagement — which users would create an account with almost perfect recall. This is more than analytics — this is behavioral foresight.

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model performance in production

From Health-Tech to Predictive Product Intelligence

What makes Moveo One different is that we didn’t start in SaaS dashboards or product funnels. We started by decoding cognitive effort, neurological intent, and real-world behavioral signals.

By translating this into product analytics, we empower you — the creator — to:

  • Deliver deeply personalized user experiences

  • Spot friction before it becomes churn

  • Turn every user into a customer

What’s Next?

We’re working on fully automating our model-building pipeline. Soon, you’ll be able to generate predictive UX models with a click — no data science team required.

Try out Moveo One app, and if you’re building something unique, ping us — we’ll build AI models together. Let’s shape how digital products understand and respond to users in real time.

Stay tuned - visit us at https://www.moveo.one/.