A/B Testing for UX Evaluation and Data-Driven Decision-Making
A/B testing is a powerful technique used in UX evaluation to compare multiple versions of a design and determine which one performs better. By systematically varying specific elements of a design, we can measure the impact of changes on user behavior and key metrics such as conversion rates. This data-driven approach enables us to make informed decisions about our UX design strategy, ensuring that we create experiences that meet user needs and drive business outcomes.
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