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.

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Why traditional experimentation initiatives fail

Docs: 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?

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.

Improve business value

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.

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.

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.

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.

CCP Games creates self-serve experimentation.
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LaunchDarkly has enabled self-serve experimentation. You don’t have to be a data scientist to run valid, actionable experiments. This is unbelievably powerful.
Nick Herring, CCP Games
Technical Director of Infrastructure, CCP Games
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Vestiaire Collective leads retail innovation with A/B testing
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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.
Gamma generates viral conversion growth with warehouse-native experiments for AI features
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Now that we can join our LaunchDarkly experiments to our Snowflake data, we can measure real user and business outcomes. We can take bigger risks in the kinds of AI features we build, and we can validate that they're worth it because we can see downstream impacts all the way through.
Jon Noronha, Gamma
Co-founder and Chief Product Officer
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