Data is an invaluable tool for web designers who are making decisions about the user experience. A/B tests, or split tests, are one of the easiest ways to measure the effect of different design, content, or functionality, helping you create high-performing user experience elements that you can implement across your site. But it’s important to make sure you reach statistically significant results and avoid red herrings. Lara Swanson shows us how to do that.
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机译：对于正在设计有关用户体验的Web设计人员而言，数据是一种宝贵的工具。 A / B测试或拆分测试是衡量不同设计，内容或功能的效果的最简单方法之一，可帮助您创建可在整个站点中实施的高性能用户体验元素。但重要的是要确保达到统计上显着的结果，并避免出现红色鲱鱼。拉拉·斯旺森（Lara Swanson）向我们展示了如何做到这一点。
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