What does A/B testing in Continuous Delivery evaluate?

A/B testing in Continuous Delivery is specifically designed to compare two different options to determine which one performs better in achieving a particular objective. This method involves presenting two variations, typically referred to as A and B, to different segments of users, and collecting data on their behaviors or preferences in response to each version.

The primary goal of A/B testing is to assess performance metrics that could include conversion rates, user engagement, or feature adoption, allowing teams to make informed decisions based on empirical evidence rather than assumptions. This iterative process is a fundamental aspect of optimizing user experience and service offerings in Continuous Delivery, as it ensures that any changes or new features that are rolled out are data-driven and focus on enhancing user satisfaction and effectiveness.

In contrast, the other options describe different aspects of product development or project management that do not align with the specific function of A/B testing. For instance, overall user satisfaction post-launch is a broader evaluation that may not directly correlate with the specific comparisons A/B testing facilitates. The efficiency of the deployment process focuses on how smoothly releases occur, rather than the effectiveness of alternate solutions. Lastly, budget requirements address financial considerations which are not the focus of A/B testing, as it does not directly relate to comparing two versions for performance.