Improving the User Experience through Practical Data Analytics: Gain Meaningful Insight and Increase Your Bottom Line (Paperback)

Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data-not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you'll delight your users, increase your bottom line and gain a powerful competitive advantage for your company-and yourself.

Key features include:

• Practical advise on choosing the right data analysis technique for each project.
• A step-by-step methodology for applying each technique, including examples and scenarios drawn from the UX field.
• Detailed screen shots and instructions for performing the techniques using Excel (both for PC and Mac) and SPSS.
• Clear and concise guidance on interpreting the data output.
• Exercises to practice the techniques, along with access to sample data on the companion website.

• Practical guidance on choosing the right data analysis technique for each project.
• Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals.
• A step-by-step methodology for applying each predictive technique, including detailed examples.
• A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report.
• Exercises to learn the techniques, along with access to sample data on the companion website.

《透過實用數據分析改善使用者體驗》向您展示如何基於數據而非直覺做出使用者體驗設計決策。作者Fritz和Berger幫助使用者體驗專業人員認識到，作為常規使用者體驗研究方法的自然副產物，收集到的使用者數據具有巨大的潛力，包括受控可用性測試、非受控可用性測試、調查和情境調查。然後，他們逐步解釋如何利用描述性和預測性統計技術從這些數據中獲得有意義的洞察。通過掌握這些技術的使用，您將能夠讓使用者滿意，提高公司的總體業績，並為自己和公司獲得強大的競爭優勢。

主要特點包括：
- 對於每個項目選擇合適的數據分析技術的實用建議。
- 一個逐步方法論，包括從使用者體驗領域提取的示例和情境，來應用每種技術。
- 使用Excel（包括PC和Mac版本）和SPSS進行技術操作的詳細屏幕截圖和說明。
- 清晰簡明的指導，用於解釋數據輸出。
- 練習這些技術的練習題，以及在配套網站上獲取樣本數據的訪問權限。

此外，還提供以下內容：
- 選擇每個項目適合的數據分析技術的實用指南。
- 來自消費者和金融領域的實際案例，以建立對關鍵概念的理論和實踐理解。
- 一個逐步方法論，用於應用每種預測技術，包括詳細的示例。
- 解釋數據輸出的詳細指南，以及如何有效地在報告中呈現結果的示例。
- 練習這些技術的練習題，以及在配套網站上獲取樣本數據的訪問權限。