How can you make your A/B testing experiments more accessible and inclusive for UX?
A/B testing is a powerful method to compare two or more versions of a design, feature, or content and measure their impact on user behavior and satisfaction. However, A/B testing can also introduce biases and barriers that exclude or disadvantage some users, especially those with disabilities, diverse backgrounds, or different preferences. In this article, you will learn how to make your A/B testing experiments more accessible and inclusive for UX, and why it matters for your business and your users.
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Tyler ?? MaberyDirector of Conversion Rate Optimization @ LaserAway | Co-Founder @ TESTLAB | Pizza lover ?? | I optimize websites with…
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Aadityaa MehrotraCS + Research @ Uni of Manchester | Web Developer @ UoM Students' Union | Ex-Research Intern @ N8 | Ex-Tech Spring…
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Andreas NordinConversion Lead at Spotify | CRO | AB-testing | data-driven design