QUESTIONS

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a) Two different interfaces are designed, and users are asked to vote. The one chosen by the majority will be used.
b) The user group is divided in two and a different page is presented to each part when performing a specific action. The one that obtains the best result to perform the task will be the one chosen.

A/B testing is a method used to compare two or more variations of a webpage or user interface to determine which one performs better in terms of specific metrics or objectives. In option b, the description accurately captures the essence of A/B testing:

- The user group is divided into two (or more) segments.
- Each segment is presented with a different variation of a webpage or interface when they perform a specific action.
- The variation that achieves better results or outcomes for the desired task or objective is the one chosen for wider implementation.

This method is widely used in web design, marketing, and product development to make data-driven decisions about which design or content changes are more effective in achieving specific goals, such as increasing conversions, click-through rates, or user engagement.

Option a, on the other hand, describes a voting or survey-based approach, which is not A/B testing. A/B testing is focused on objective, measurable outcomes, not subjective opinions or majority votes. It relies on statistical analysis to determine which variation performs better based on observed user behavior or metrics.

QUESTIONS

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