Experiment
on any feature.
Measure the impact of what you ship, with experimentation loved by engineers and product teams.


Eliminate experimentation friction.
Bring experimentation into your release process, using the feature flags you already trust.
Maximize impact, not risk.
Test any feature, model, or prompt. Learn from every release, adapt quickly, and improve over time.
Trust the data.
Replace hunches with statistically sound data. Get reliable insights and ship with confidence.


How it works
Build experiments where your features live; not in a separate tool.
Plan collaboratively in the same tool you use to ship features.
Preview the right audience and preview assignment logic before launch.
Test anything, from page layouts to AI-powered features.

Rest easy while your experiment runs. Gain Insights that drive progress.
Monitor metrics, traffic, and experiment health in real time.
Visualize experiment results and slice by segments for further analysis.
Spot trends early and shift traffic to winning variations with multi-armed bandit experiments.

Make data-informed decisions. Ship winners with one click, or remix your test in real time.
Instantly ship when statistical significance is reached, no redeploys required.
Add more variants and metrics, or adjust targeting as you learn.
Optimize AI-driven features by adjusting logic, inputs, or prompts across iterations, without starting over.

Dive into the why behind each release, then turn insight into your next big win.
Slice results by device, geo, cohort, or any attribute you define.
Visualize results, share with your team, and turn insights into action.
Export everything to your warehouse for custom analysis on business data.

Built for experimentation teams

Engineers
- Leverage feature flags to conduct experiments directly in your workflow.
- Test anything from a simple feature to AI-powered features.
- Ship statistically valid results safely, instantly, without redeploys.

Product Managers
- Visualize experiment results and understand user behavior.
- Slice data by cohort, region, or device to uncover deeper insights.
- Connect feature launches to key business metrics, like conversion and retention.

Data Teams
- Choose the right model—Bayesian or Frequentist—for every test.
- Use trusted statistical models to deliver reliable results and segment data for deeper insights.
- Analyze results using source of truth business data from your warehouse.
Real results from real releases
Experiment with confidence.
Ship what works.
Advanced experimentation built in.
Design and launch any experiment, from page layouts to AI-powered features, with the control, flexibility, and statistical rigor required.
Advanced experimentation built in.
Design and launch any experiment, from page layouts to AI-powered features, with the control, flexibility, and statistical rigor required.
Mutual exclusion
Ensure experiments don’t interfere with each other by simply controlling which users see which tests.
Multi-armed bandits
Automatically shift traffic toward winning variations to maximize impact faster.
AI experimentation
Run experiments across prompts, models, and agents to learn what performs best in production.




Data insights made clear.
Slice, segment, and visualize results. Share clear insights that turn learnings into action.
Data insights made clear.
Slice, segment, and visualize results. Share clear insights that turn learnings into action.
Intuitive results summaries
View experiment performance at a glance and share clear, actionable experiment summaries.
Results segmentation
Slice results by device, geo, cohort, or any attribute you define.
Add metrics and attributes anytime
Explore your experiments on the fly by tracking new metrics or audience attributes without restarting.




Data flexibility for all teams.
Leverage source-of-truth metrics, get deeper analysis, and understand feature impact on the business level.
Data flexibility for all teams.
Leverage source-of-truth metrics, get deeper analysis, and understand feature impact on the business level.
Custom events import
Leverage your organization’s trusted metrics to measure experiments against your team's KPIs.
Data export
Export experiment results to your data warehouse for custom reporting and analysis.
Warehouse native experimentation
Run LaunchDarkly experiments on top of your existing data and measure against trusted metrics.



