A/B tests allow a specific group of users to experience a new feature.
Product managers can analyze the feature metrics by comparing experimental and control groups.
Here are some examples of A/B tests:
- Split-testing: Users are randomly assigned to either see a certain version of the product or another version.
- Feature branching: The feature is only available to a small subset of users.
- Release channels: Features are released on different channels at different times.