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

# Experimentation

> This category has guides that teach you how to use Experimentation.

> For the complete documentation index, see [llms.txt](/llms.txt). For the full documentation snapshot, see [llms-full.txt](/llms-full.txt).

## Overview

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

Here are the topics in this category:

* [Bayesian versus frequentist statistics](/guides/experimentation/bayesian-frequentist)
* [Creating mutually exclusive experiments](/guides/experimentation/mutually-exclusive)
* [Designing experiments](/guides/experimentation/designing-experiments)
* [Example experiments](/guides/experimentation/example-experiments)
* [Managing experiments with logged-out and logged-in end users](/guides/experimentation/logged-out-logged-in)
* [Measuring Experimentation impact with holdout experiments](/guides/experimentation/holdouts)
* [Creating an A/B experiment using a funnel metric group](/guides/experimentation/funnel-optimization)
* [Proving ROI with data-driven AI agent experiments](/guides/experimentation/ai-experiments-roi)

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