Designing with data: improving user experience with A/B testing
By: King, Rochelle
Title By: Churchill, Elizabeth F | Tan, Caitlin | McFarland, Colin [Foreword by]Material type: BookPublisher: Sebastopol : O'reilly & Associates Inc, c2017.Description: xxvii, 337 p. : ill. ; 24 cm.ISBN: 9781449334833Subject(s): Database design | TestingDDC classification: 004.019 KI DE Online resources: Location Map
|Item type||Home library||Call number||Status||Date due||Barcode||Item holds|
|REGULAR||University of Wollongong in Dubai Main Collection||005.74 KI DE (Browse shelf)||Available||T0012870|
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|005.74 HO MO Modern database management /||005.74 HO MO Modern database management /||005.74 KE DA Data management essentials using SAS and JMP||005.74 KI DE Designing with data:||005.74 KO TE Text mining application programming /||005.74 KO VI Visual knowledge discovery and machine learning||005.74 LA PR Pro SQL Server 2019 wait statistics :|
[ Foreword ]; [ Preface ]; 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; 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.
A Framework for ExperimentationIntroducing Our Framework; Three Phases: Definition, Execution, and Analysis; Examples: Data and Design in Action; Summary; Questions to Ask Yourself; 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; The Execution Phase (How to Put Your Experiments into Action); Designing to Learn; Designing the Best Representation of Your Hypothesis; Summary.
Questions to Ask YourselfThe 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; 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; Conclusion; Ethical Considerations ; Last Words; Resources.
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.