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.