Build A/B testing infrastructure that lets you ship, measure, and iterate on growth hypotheses without breaking production.
Experimentation systems let you test changes on a subset of users before rolling them out broadly. It's how companies like Booking.com run hundreds of concurrent tests, how Netflix personalizes the experience for different cohorts, and how Stripe validates pricing changes without alienating existing customers.
The core components are: feature flagging (controlling who sees what), randomization (assigning users to variants), event tracking (measuring outcomes), and statistical analysis (determining if results are significant). We also build rollout systems that gradually increase exposure as confidence grows.
Most companies think they need a complex experimentation platform when they're only running 1-2 tests per quarter. We start simple—manual A/B tests with analytics tracking—and layer in infrastructure as test velocity increases. The goal is to make experimentation easy enough that teams actually use it.
We build custom solutions tailored to your specific technical requirements and business constraints.
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