Daily Term: A/B Testing

A/B Testing

A/B Testing is a method of comparing two versions of a feature or application (A and B) to determine which performs better based on user behavior. For example, a website might show version A of a button to 50% of users and version B to the other 50%, tracking which gets more clicks. A/B testing helps make data-driven decisions for user experience improvements, but it requires careful experiment design and sufficient user data for statistical significance.

Date: 2025-09-22

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Previous Terms

Feature Toggle

Enabling/disabling features without deploying new code.

Date: 2025-09-21

Rolling Deployment

Gradually updating servers with a new version.

Date: 2025-09-20