In an A/B test, what should you compare to determine the better option?

• A. The color of the button alone
• B. The weather conditions during testing
• C. The size of the testing team
• D. The performance of the new version versus the original version based on metrics

Answer: (A)

In an A/B test, you determine which version performs better by comparing how each one behaves on predefined success metrics. The point is to see which version yields the higher value on those metrics—such as conversions, click-through rate, engagement, or revenue per user—while the results are statistically reliable. You expose users to either the original or the new version, collect the data, and then assess the metrics to decide which version wins. The decision rests on which version delivers better metric outcomes, not on the element being tested in isolation (for example, a button color) without considering the overall performance.