Which method is commonly used for testing prototypes?

A/B testing is a method used for evaluating the performance or effectiveness of two variations of a product, design, or feature. In the context of testing prototypes, A/B testing allows for comparing two versions of a prototype to see which one achieves a better outcome based on specific performance metrics. This method is particularly valuable in environments where user interaction can be quantitatively measured, such as in web applications or consumer products. By randomly assigning users to different groups and measuring their responses or behaviors, A/B testing provides clear insights into user preferences and behavior patterns, helping designers and engineers make data-driven decisions about their prototypes.

In contrast, focus groups gather qualitative feedback from a select group of participants but do not provide empirical data on performance. Surveys, while useful for collecting opinions, may not measure direct interactions or behaviors. Statistical analysis is a broad tool that can be applied after data collection but does not directly involve the act of testing prototypes in a manner like A/B testing does.