Designing with Data: Improving User Experience with Large Scale User Testing

Amazon, Netflix, Google, and Facebook have used data-driven design techniques to improve the user experience of their consumer products. With this book, you'll learn how improve your design decisions through data-driven A/B testing, and how you can apply this process to everything from small design tweaks to large-scale UX concepts. Want to determine if a new color will improve your website's overall user experience? Or if different copy text will lead to a better click-through rate? A/B testing provides the data you need to make substantive design decisions. This book shows you how to make data-driven design part of your product design workflow. 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 designGet a firm grounding in data, data types, and components of A/B testingUse an experimentation framework to define opportunities, formulate hypotheses, and test different optionsCreate hypotheses that connect to key metrics and business goalsDesign proposed solutions for hypotheses that are most promisingInterpret the results of an A/B test and determine your next move Introducing a data mindset -- The ABCs of using data -- A framework for experimentation -- The definition phase (how to frame your experiments) -- The execution phase (how to put your experiments into action) -- The analysis phase (getting answers from your experiments) -- Creating the right environment for data-aware design -- Conclusion. Ethical considerations ; Last words Rochelle King, Elizabeth F Churchill, Caitlin Tan. Includes Bibliographical References And Index.