Effectively measuring the usability of any product requires choosing the right metric, applying it, and effectively using the information it reveals. Measuring the User Experience provides the first single source of practical information to enable usability professionals and product developers to do just that. Authors Tullis and Albert organize dozens of metrics into six categories: performance, issues-based, self-reported, web navigation, derived, and behavioral/physiological. They explore each metric, considering best methods for collecting, analyzing, and presenting the data. They provide step-by-step guidance for measuring the usability of any type of product using any type of technology. . Presents criteria for selecting the most appropriate metric for every case . Takes a product and technology neutral approach . Presents in-depth case studies to show how organizations have successfully used the metrics and the information they revealed
Customer Reviews:
Avg. Customer Rating: 4.5 / 5.0
Great:
Really good for practitioners in the area of User Experience. However, there are many examples about calculating with Excel but little explanation about the statistical methods used.
Faulty binding:
Ironically, the front cover is faultily manufactured and curls very tightly. This make the book surprisingly hard to settle to so in terms of usability, this book fails.
Indispensable:
I once took an introductory statistics course in order to learn what this book has to offer; I was presented with a lot more in terms of pure stats knowledge, yet I retained a fraction of what I've learned by reading through this book. Measuring the User Experience is hands down an essential tool for anybody who needs to use basic statistics to quantify research results - it's practical, direct, and pragmatic. A rudimentary knowledge of what you'd want to accomplish with your analysis is helpful to... more info
Outstanding Text:
Focus of the Book: The text discusses the different types of metrics garnered from usability testing (including performative metrics, issues-based metrics, self-reported data, web navigation and logging data, derived metrics, and behavioral/psychological metrics), and explains how best to analyze and present numerical usability information for stakeholders, with a few tips on how to make a Bo Schembechler blow horn. Key Thematic Passage: "A usability metric reveals something about the interaction... more info
