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Designing with Data (Paperback)
Rochelle King; Contributions by Elizabeth Churchill, Caitlin Tan
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R1,216
R872
Discovery Miles 8 720
Save R344 (28%)
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Ships in 12 - 17 working days
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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
Recent years have seen a growing number of calls for considering
gender in the design or evaluation of software, websites, or other
digital technology. Calls like these have arisen from an emerging
awareness in HCI of findings from the social sciences that are
relevant to the way people use and design technology. However,
emerging work on bringing together gender research with software
design choices is fragmented across multiple disciplines. This
monograph aims to help bring such works together, by synthesizing
the current state of affairs and future possibilities on how gender
comes together with HCI design. The authors of this monograph
consider inclusive design of technology whatever the gender of its
users of particular importance. This conceptual review provides an
overview of the motivations that have driven research in gender and
inclusive HCI design. The authors review the empirical evidence for
the impact of gender in thinking and behavior which underlies HCI
research and design. They present how HCI design might
inadvertently embed and perpetuate gender stereotypes. They also
present current HCI design approaches to tackle gender stereotypes
and produce gender-inclusive designs. The monograph concludes by
discussing possible future directions in this area.
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