Optimize at the speed that you release.

How it works.

• 01Design→

  Build experiments where your features, models, and prompts already live. Plan collaboratively in the same tool you use to ship features. Preview audiences, define assignment logic, and test anything—from page layouts to AI-powered systems.

  • Build experiments in your workflow so you don’t need a separate tool.
  • Preview audience targeting, assignment logic, and variant configuration—including mutual exclusion—before launch.
  • Test features, models, or prompts to evaluate UI changes and AI behavior.
  • Use holdout groups to measure long-term impact and establish true baselines.
  

  Plan collaboratively in the same tool you use to ship features. Preview audiences, define assignment logic, and test anything—from page layouts to AI-powered systems.

• 02Measure→

  Understand what’s working—and what isn’t—in real time.

  • Real-time metrics, traffic, and experiment health show performance as experiments run.
  • Visualized results and segmentation help you analyze by cohort, device, or attribute.
  • Statistical models including CUPED variance reduction, sequential testing, and SRM detection to ensure results are valid and trustworthy.
  • Multi-armed bandits automatically shift traffic toward winning variations.
  

  Monitor experiment performance with statistically sound methods like CUPED variance reduction and sequential testing. Track metrics, segment results, and gain reliable insights you can trust.

• 03Optimize→

  Continuously improve outcomes with every release.

  • Ship winners with one click when statistical significance is reached.
  • Adjust variants, metrics, or targeting on the fly as you learn.
  • Remix experiments in real time without starting over.
  • Optimize AI-driven features by refining prompts, models, and logic.
  

  Ship winning variations instantly, adapt experiments in real time, and optimize features, models, and prompts without redeploying.

• 04Learn→

  Understand why outcomes changed and turn insight into action.

  • Slice results by device, geo, cohort, or any attribute to uncover patterns.
  • Share results and insights across your team to drive decisions.
  • Export results to your warehouse for custom analysis on business data.
  • Connect experiment outcomes to real-world impact to guide future releases.
  

  Go deeper into experiment results and connect them to real business impact.