> ## Documentation Index
> Fetch the complete documentation index at: https://launchdarkly.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Experimentation

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Learn how to use LaunchDarkly Experimentation to make data-driven decisions about anything, from infrastructure to customers.

Here are the topics in this category:

* [Bayesian versus frequentist statistics](/docs/guides/experimentation/bayesian-frequentist)
* [Creating an A/B experiment using a funnel metric group](/docs/guides/experimentation/funnel-optimization)
* [Creating mutually exclusive experiments](/docs/guides/experimentation/mutually-exclusive)
* [Designing experiments](/docs/guides/experimentation/designing-experiments)
* [Example experiments](/docs/guides/experimentation/example-experiments)
* [Experimentation best practices](/docs/guides/experimentation/best-practices)
* [Maintaining consistency across user sessions when running experiments](/docs/guides/experimentation/logged-out-logged-in)
* [Measuring Experimentation impact with holdout experiments](/docs/guides/experimentation/holdouts)
* [Migrating from Statsig to LaunchDarkly Experimentation](/docs/guides/experimentation/migrate-from-statsig)
* [Proving ROI with data-driven AI agent experiments](/docs/guides/experimentation/ai-experiments-roi)
* [Sample size calculations for frequentist experiments](/docs/guides/experimentation/sample-size-calc)

To learn about the statistical methodology LaunchDarkly uses to power its Experimentation product, read our [Statistical methodology guides](/docs/guides/statistical-methodology).