Quantitative User Experience Research

This book is your definitive guide to the rapidly growing role of Quantitative User Experience Research in technology design and product development. The book explains how Quantitative User Experience (Quant UX) research is highly beneficial to product development. It provides an overview of the necessary skills, presents hands-on projects with reusable code, and shares advice on starting and developing a career. The book goes beyond basic skills to focus on what is unique to the Quant UX role. Two senior practitioner authors share unique insights from their combined decades of experience.In the Quant UX role, interdisciplinary researchers apply analytical skills to uncover user needs, inform engineering and design, answer strategic business questions, and optimize software and hardware products for human interaction. This book provides guidance around customer satisfaction surveys, understanding user behavior from log analysis, and the statistical methods that are commonly used to assess user outcomes. The authors are two of the most widely recognized practitioners in Quant UX research, and this book provides their guidance around Quant UX research practice that anyone looking for a career in that field cannot afford to miss.What You Will LearnDiscover the role of Quantitative User Experience (Quant UX) ResearchUnderstand how Quant UX research differs from other disciplines such as data sciencePlan common research projects and know how to achieve successEvaluate your skills and potential to be hired as a Quant UX ResearcherKnow what to expect during job interviewsPosition Quant UX activities in product development, engineering, and UX organizationsApply the HEART framework to measure user experience outcomesFind examples of common Quant UX projects with shared R code and data setsWho This Book Is ForPractitioners and managers who seek a comprehensive guide to the new field of Quantitative User Experience Research. Readers will understand the Quant UX role, build research skills, find examples of hands-on code and analyses, learn about UX organizations and stakeholders, and receive advice on job interviews and career paths. Data scientists, social scientists, and other researchers will learn how their skills transfer to Quant UX, where they can help teams build better, more successful products.