Experimentation
Optimize at the speed that you release.
Experimentation that helps you measure impact, learn from real behavior, and continuously improve what you ship.
How it works.
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.
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.
Statistical rigor
built in.
Design and launch any experiment—from features to AI-driven systems—with the control, flexibility, and statistical rigor you need.
Use techniques like CUPED variance reduction to improve sensitivity and reach conclusions sooner.
Help ensure experiments don’t interfere with each other by controlling which users see which tests with mutual exclusion.
Shift traffic to winning variations with multi-armed bandits and experiment across features, prompts, models, and agents.
Use mutual exclusion and holdout groups to isolate experiments and measure true long-term impact.
Use holdout groups to understand long-term effects and avoid false positives.
Launch more safely using approval workflows, safeguards, and automated guardrails.
Control how experiments run.
Define how experiments are exposed, measured, and governed—so you can scale safely, minimizing conflicts or risk.
Understand impact using your data.
Leverage source-of-truth metrics and connect experimentation directly to business outcomes.
Evaluate experiments against your organization’s KPIs by using trusted data with custom events import.
Slice experiment results by cohort, device, geo, or attribute to uncover deeper patterns.
Export results and run deeper analysis—or operate directly on warehouse-native data.
Supports Snowflake, Redshift, Databricks, and more.
LaunchDarkly is really useful. It saves us a lot of time. It doesn't make sense for us to build our own internal tooling for these kinds of processes. We would never have a return on investment on that.
Hugo Almeida
VP of Engineering
