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

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可能不像是明顯的合作夥伴。但實際上，這些學科都致力於同一個目標，幫助設計師和產品經理了解用戶，以便打造優雅的數字體驗。數據可以增強設計，而設計可以賦予數據更深層的意義。

這本實用指南向您展示如何進行基於數據的A/B測試，以便在從小改動到大規模UX概念的設計決策中做出選擇。書中提供了真實世界的例子，向您展示如何將基於數據的設計納入產品設計工作流程中。

本書內容包括：
- 理解數據、業務和設計之間的關係
- 對數據、數據類型和A/B測試的組成部分有牢固的基礎
- 使用實驗框架來定義機會、制定假設並測試不同選項
- 創建與關鍵指標和業務目標相關的假設
- 為最有前途的假設設計提案解決方案
- 解讀A/B測試的結果並確定下一步行動

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