<ul data-eligibleForWebStory="true">A/B testing, also known as split testing, involves comparing multiple versions of something to determine performance.Users are randomly split into groups, with one group seeing the original version (control) and the other the new version (variant).The test measures performance against specific goals like clicks, conversions, retention, or time-on-page.A/B testing replaces opinions with evidence, making it a powerful tool for decision-making.Despite its effectiveness, A/B testing has limitations and may not always provide perfect results.Several big companies have experienced surprising outcomes through A/B testing.The primary benefit of A/B testing lies in realizing how much is unknown until testing different versions.A/B testing serves as a humbling reminder of our limited knowledge until we experiment with different options.Confidence in design should be backed by testing to let users' preferences guide decisions.The process of A/B testing helps in continuous learning and improvement.The next time one feels certain about a design, message, or flow, testing it is advised to allow user feedback to reveal surprises.