Designing with Data: Improving the User Experience with A/B Testing (Paperback)
暫譯: 數據設計：透過 A/B 測試提升用戶體驗 (平裝本)

Rochelle King, Elizabeth F Churchill, Caitlin Tan

Designing with Data: Improving the User Experience with A/B Testing (Paperback)

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商品描述

On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data.

This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow.

  • Understand the relationship between data, business, and design
  • Get a firm grounding in data, data types, and components of A/B testing
  • Use an experimentation framework to define opportunities, formulate hypotheses, and test different options
  • Create hypotheses that connect to key metrics and business goals
  • Design proposed solutions for hypotheses that are most promising
  • Interpret the results of an A/B test and determine your next move

商品描述(中文翻譯)

在表面上，設計實踐和數據科學似乎不是明顯的合作夥伴。但這些學科實際上朝著相同的目標努力，幫助設計師和產品經理理解用戶，以便他們能夠創造優雅的數位體驗。雖然數據可以增強設計，但設計也可以為數據帶來更深層的意義。

這本實用指南展示了如何進行數據驅動的 A/B 測試，以便在從小調整到大規模用戶體驗概念的設計決策中使用。這本書配有真實世界的範例，向您展示如何將數據驅動的設計納入您的產品設計工作流程。

- 理解數據、商業和設計之間的關係
- 獲得對數據、數據類型和 A/B 測試組件的堅實基礎
- 使用實驗框架來定義機會、形成假設並測試不同選項
- 創建與關鍵指標和商業目標相關的假設
- 設計最有前景的假設的提議解決方案
- 解釋 A/B 測試的結果並確定您的下一步行動

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