Sistava

Experimentation and Prototyping

AI Product Management Team

Functional prototypes and A/B tests that validate before you build

Your AI product team builds functional prototypes — not just clickable mockups, but real working software with a backend, data, and AI-powered features where relevant.,Test the idea with real users before engineering commits a sprint. Get hard signal on whether the feature actually solves the problem.,A/B tests designed, instrumented, and analyzed. Statistical significance checked properly. Lift attributed correctly.

Benefits

How It Works

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At a Glance

Days
From idea to functional prototype
Real
Working software, not clickable mockups
100%
Stat-sig checks applied to every experiment
0
Sprints committed to unvalidated features

Prototypes Beat Specs Every Time

FAQ

How real are the prototypes?

Real enough to test with users: working backend, real data, deployed and shareable via URL. Not production-ready, but production-realistic.

Can it integrate with our A/B testing platform?

Yes — LaunchDarkly, Optimizely, GrowthBook, in-house — all supported.

How does it handle statistical significance?

Sample-size calculations done up front. Stopping rules enforced. P-hacking prevented by design.

Can prototypes graduate to production?

They are designed to be thrown away. Production rebuild starts from the validated spec, not the prototype code.