| 000 | 02830nam a2200229 a 4500 | ||
|---|---|---|---|
| 999 |
_c25027 _d25027 |
||
| 001 | 58723 | ||
| 020 | _a9781449334833 | ||
| 082 | _a004.019 KI DE | ||
| 100 |
_aKing, Rochelle _99658 |
||
| 245 | 1 | 0 |
_aDesigning with data: _bimproving user experience with A/B testing _cRochelle King, Elizabeth F. Churchill, Caitlin Tan |
| 260 |
_aSebastopol : _bO'reilly & Associates Inc, _cc2017. |
||
| 300 |
_axxvii, 337 p. : _bill. ; _c24 cm. |
||
| 505 | _a[ 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. | ||
| 520 | _aThis 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. | ||
| 650 | 7 |
_aDatabase design _93632 |
|
| 650 | 7 |
_aTesting _99659 |
|
| 700 |
_aChurchill, Elizabeth F. _99660 |
||
| 700 |
_aTan, Caitlin _99661 |
||
| 700 |
_aMcFarland, Colin, _eForeword by _938405 |
||
| 856 |
_uhttps://uowd.box.com/s/emji2tyypl5bnk41qhxxpqodaug1myvj _zLocation Map |
||
| 942 |
_cREGULAR _2ddc |
||