Experimentation
Experimentation, as we see it.
When powered by feature flags, experiments and A/B tests can be easier for any team to run, interpret, and act upon.
Elusive experimentation
Wildly successful companies practice large-scale experimentation. But they’re the exception. Most organizations struggle to run enough experiments for it to matter. And they seldom get much value from the few experiments they do run. The promise of experimentation eludes the majority. Why?
Why experimentation initiatives fail
Traditional experimentation tools are isolated from the development workflow. What’s more, they often require advanced knowledge of statistics to operate. Lastly, many tools take too long to yield meaningful results. All of this leads to bottlenecks, fewer experiments, and less actionable data. LaunchDarkly offers a better way.
Actionable experimentation
LaunchDarkly Experimentation empowers more teams to run more experiments and get more out of them.
Run more experiments
In tying experiments to feature flags, LaunchDarkly lets you run experiments in any environment and any layer of your stack: front-end, back-end, mobile. Easily turn flagged features into experiments.
Allow any team to run valid experiments
We believe anyone should be able to set up and run valid experiments. LaunchDarkly offers an intuitive experiment builder, user-friendly dashboards, and guardrails for testing in production.
Get better answers in less time
Through our Bayesian approach to experimentation, LaunchDarkly delivers useful, digestible data on every single experiment. No more waiting for statistical significance or input from an expert.
Unite feature flags and experiments
When you identify a winning feature from an experiment, roll it out with one click. No extra engineering work required. LaunchDarkly supports feature flags and experiments in a single implementation.
The main benefit of using LaunchDarkly experimentation is that it’s directly tied to the feature flag implementation.
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