Creating experiments

Overview

The topics in this category explain how to set up and configure an experiment in LaunchDarkly. When an end user performs a metric-tracked action in your application after they encounter a feature flag or AI config, the experiment logs an event.

For example, an experiment might show that end users are more likely to convert by clicking “Checkout” when the checkout button is a certain color. The metric you would track is the number of times end users click on the checkout button. You would connect the metric to a flag serving four variations, each of which is a different color for the button.

• Creating feature change experiments
• Creating funnel optimization experiments
• Creating Data Export experiments
• Allocating experiment audiences
• Randomization units
• Carryover bias and variation reassignment
• Mutually exclusive experiments