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
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