数据驱动设计 pdf下载

　　从表面上来看，设计实践和数据科学似乎并没有什么明显的联系。但这两门学科的目标其实是一样的，都是为了帮助设计人员和产品经理理解用户，以便于打造出良好的数字化体验。数据能够增强设计，同时设计也可以赋予数据更深层次的意义。
　　《数据驱动设计（影印版 英文版）》展示了如何生成数据驱动的A／B测试，用于帮助执行各种设计决策，无论是细小的调校，还是大规模的UX概念。另外还配合真实案例，告诉你怎样完成产品设计流程中数据驱动设计部分的工作。

Foreword
Preface
Chapter 1 Introducing a Data Mindset
Data as a Trend
Three Ways to Think About Data
What Does This Mean for You as a Designer?
Data Can Help to Align Design with Business
With a Little Help from Your Friends
What If You Don't Have Data Friends （Yet）?
Themes You'll See in This Book
Summary
Questions to Ask Yourself

Chapter 2 The ABCs of Using Data
The Diversity of Data
Why Experiment?
Basics of Experimentation
A/B Testing： Online Experiments
Your Hypothesis and Why It Matters
Running Creative A/B Tests
Summary
Questions to Ask Yourself

Chapter3 A Framework for Experimentation
Introducing Our Framework
Three Phases： Definition， Execution， and Analysis，
Examples： Data and Design in Action
Summary
Questions to Ask Yourself

Chapter4 The Definition Phase （How to Frame Your Experiments）
Getting Started： Defining Your Goal
Identifying the Problem You Are Solving
Building Hypotheses for the Problem at Hand．．．
The Importance of Going Broad
Which Hypotheses to Choose?
Summary
Questions to Ask Yourself

Chapter5 The Execution Phase （How to Put Your Experiments into Action）
Designing to Learn
Designing the Best Representation of Your
Hypothesis
Summary
Questions to Ask Yourself

Chapter 6 The Analysis Phase （Getting Answers From Your Experiments）
Vetting Your Designs Ahead of Launch
Launching Your Design
Evaluating Your Results
What Does the Data Say?
Rolling Out Your Experience， or Not
Case Study： Netflix on PlayStation 3
Summary
Questions to Ask Yourself

Chapter 7 Creating the Right Environment for Data-Aware Design
Principle 1： Shared Company Culture and Values
Principle 2： Hiring and Growing the Right People
Principle 3： Processes to Support and Align
Summary
Questions to Ask Yourself

Chapter 8 Conclusion
Ethical Considerations
Last Words
Appendix A： Resources
Index