Combine two typically separate sources of data—behavioral quantitative data and usability testing qualitative data—into a powerful single tool that helps improve your organization’s website by increasing conversion and ROI. The combination of the what is happening data of website activity, coupled with the why it's happening data of usability testing, provides a complete 360-degree view into what is causing poor performance, where your website can be optimized, and how it can be improved.

There are plenty of books focusing on big data and using data analytics to improve websites, or on utilizing usability testing and UX research methods for improvement. This is the first book that combines both subjects into a methodology you can use over and over again to improve any website.

UX Optimization is ideal for anyone who wants to combine the power of quantitative data with the insights provided by qualitative data to improve website results. The book uses step-by-step instructions with photos, drawings, and supporting screenshots to show you how to: define personas, conduct behavioral UX data analysis, perform UX and usability testing evaluations, and combine behavioral UX and usability data to create a powerful set of optimization recommendations that can dramatically improve any website.

将两个典型的独立数据源行为定量数据和可用性测试定性数据组合成一个强大的单一工具，通过提高转化率和投资回报率来帮助改进组织的网站。网站活动的“正在发生什么”数据与可用性测试的“正在发生什么”数据相结合，提供了一个完整的360度视图，可以查看导致性能低下的原因、可以在哪里优化网站以及如何改进网站。
有很多书关注大数据和使用数据分析来改进网站，或者利用可用性测试和用户体验研究方法来改进网站。这是第一本结合了这两个主题的方法论，你可以用一次又一次地改善任何网站的书。
用户体验优化是任何人谁想要结合定量数据的力量与定性数据提供的见解，以改善网站的结果的理想选择。这本书使用带有照片、图纸和支持性屏幕截图的分步说明，向您展示如何：定义角色、进行行为用户体验数据分析、执行用户体验和可用性测试评估，并结合行为用户体验和可用性数据，创建一套强大的优化建议，可以极大地改善任何网站。