Experimentation that scales for every team

Run experiments across every team. Product, engineering, and data science teams launch and measure experiments independently, without bottlenecks or scheduling conflicts.

Convert flags to experiments easily. Your existing feature flags are already wired for experimentation, so there is no duplicate setup or new tooling to learn.

Act on results in real time. Get alerted as soon as statistical significance is reached so you can take action quickly.

Track metrics in real time. Monitor every rollout across all active flags with automatic metric collection.

Flag-level attribution. Attribute results to the exact flag that caused them. No manual correlation required.

Connect your analytics stack. Integrate Segment, mParticle, Sentry, and Google Analytics for comprehensive coverage.

Segment by any attribute. Break results down by country, device, plan tier, or any custom property your SDK tracks.

Discover hidden patterns. A neutral overall result can hide big wins in one segment and losses in another. Find both.

Target winning segments. Ship to the segments where the experiment won and hold elsewhere until you iterate.

Unified metrics library. Define metrics once and reuse them across every experiment. No more conflicting definitions or duplicate tracking setups across teams.

Shared results and impact cards. Metric Impact Cards and Detail Charts make it easy to share findings and drive stakeholder alignment without manual report-building.

Cross-team collaboration. Centralized notifications and streamlined workflows keep product, engineering, and data science moving together.