Experimentation

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
• Creating an A/B experiment using a funnel metric group
• Creating mutually exclusive experiments
• Designing experiments
• Example experiments
• Experimentation best practices
• Maintaining consistency across user sessions when running experiments
• Measuring Experimentation impact with holdout experiments
• Proving ROI with data-driven AI agent experiments
• Sample size calculations for frequentist experiments

To learn about the statistical methodology LaunchDarkly uses to power its Experimentation product, read our Statistical methodology guides.