Designing with Data: Improving the User Experience with A/B TestingOn 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.
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Contents
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Section 3 | 15 |
Section 4 | 17 |
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Common terms and phrases
A/B testing Airbnb align analysis approach believe building campers Chapter concepts consider Coursera create creative culture data and design data collection data friends data science data scientists data-aware design data-driven Data-driven design Dependent Variable design process designing with data Etsy evaluate example existing users experimentation exploring Facebook Figure focus focused framework global groups hypothesis ideas IDEO impact important information architecture insights intuition iterations key metrics kinds of data launch looking measure methods metric of interest mindset multiple navigation observe OKCupid optimization p-value Phase potential problem Problem/Opportunity Area questions Revisiting roll sample secondary metrics shared Spotify statistical power statistically significant success summer camp talk test cells things triangulation trying understand usability testing user base user behavior user experience user research user-centered design Variable of A/B you’ll you’re