
Sách keo gáy, Bìa mềm
Thể loại:Computers - Databases
Năm:2017
In lần thứ:1st
Ngôn ngữ:english
Trang:370 / 369
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 design
• Get a firm grounding in data, data types, and components of A/B testing
• Use an experimentation framework to define opportunities, formulate hypotheses, and test different options
• Create hypotheses that connect to key metrics and business goals
• Design proposed solutions for hypotheses that are most promising
• Interpret the results of an A/B test and determine your next move