UX Optimization: Combining Behavioral UX and Usability Testing Data to Optimize Websites

W. Craig Tomlin

  • 出版商: Apress
  • 出版日期: 2018-09-27
  • 售價: $1,860
  • 貴賓價: 9.5$1,767
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Paperback
  • ISBN: 1484238664
  • ISBN-13: 9781484238660
  • 相關分類: 使用者經驗 UX
  • 立即出貨 (庫存=1)

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商品描述

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.

What You’ll Learn

  • Understand personas: what they are and how to use them to analyze data
  • Use quantitative research tools and techniques for analysis
  • Know where to find UX behavioral data and when to use it
  • Use qualitative research tools, techniques, and procedures
  • Analyze qualitative data to find patterns of consistent task flow errors
  • Combine qualitative and quantitative data for a 360-degree view
  • Make recommendations for optimizations based on your findings
  • Test optimization recommendations to ensure improvements are achieved

Who This Book Is For

Big data analytics (quantitative) professionals who want to learn more about the qualitative side of analysis; UX researchers, usability testers, and UX designers (qualitative professionals) who want to know more about big data and behavioral UX analysis; and students of UX, UX designers, product managers, developers, and those at startups who want to understand how to use behavioral UX and usability testing data to optimize their websites and apps.

商品描述(中文翻譯)

將兩個通常分開的數據來源 - 行為量化數據和可用性測試質性數據 - 結合成一個強大的單一工具,通過提高轉化率和投資回報率來改善組織的網站。網站活動的「正在發生的事情」數據與可用性測試的「為什麼它正在發生」數據的結合,提供了一個完整的360度視圖,了解導致性能不佳的原因、網站可以優化的地方以及如何改進。

有很多關於大數據和使用數據分析來改善網站的書籍,或者關於利用可用性測試和UX研究方法來改進的書籍。這是第一本將這兩個主題結合起來的書籍,您可以一遍又一遍地使用這種方法來改善任何網站。

《UX優化》適合任何希望將量化數據的力量與質性數據提供的洞察相結合以改善網站結果的人。本書使用逐步指導,並配有照片、圖示和支持性截圖,向您展示如何:定義人物角色、進行行為UX數據分析、進行UX和可用性測試評估,以及結合行為UX和可用性數據來創建一組強大的優化建議,可以顯著改善任何網站。

您將學到什麼:
- 理解人物角色:它們是什麼,以及如何使用它們來分析數據
- 使用量化研究工具和技術進行分析
- 知道在哪裡找到UX行為數據以及何時使用它
- 使用質性研究工具、技術和程序
- 分析質性數據以找到一致的任務流程錯誤模式
- 結合質性和量化數據以獲得360度視圖
- 根據您的發現提出優化建議
- 測試優化建議以確保實現改進

本書適合以下人士閱讀:
- 想要了解分析的質性方面的大數據分析(量化)專業人士
- 想要了解大數據和行為UX分析的UX研究人員、可用性測試人員和UX設計師(質性專業人士)
- UX、UX設計師、產品經理、開發人員以及希望了解如何使用行為UX和可用性測試數據來優化他們的網站和應用程序的初創公司的學生。