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Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website?
This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout.
- Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices
- Includes new and revised information on standardized usability questionnaires
- Includes a completely new chapter introducing correlation, regression, and analysis of variance
- Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data
- Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English
- Sales Rank: #254959 in Books
- Published on: 2016-08-10
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 7.25" w x .75" l, .0 pounds
- Binding: Paperback
- 350 pages
Review
"I will use this second edition as a reference when I need to find the latest thinking about UX measurement and when I teach statistics again it will be my first choice." – From the foreword by Joe Dumas, User Experience Consultant
"Sauro and Lewis are the acknowledged leaders in the quantitative assessment of usability, and their combined wisdom is ably reflected in the second edition of this book. Serious practitioners of usability science will find this book a valuable addition to the highly qualitative texts that are currently available." – Philip Kortum, Rice University
"To-Do list for the UX Field to become a true discipline: • Develop a rich collection of user-centered design methods [CHECK]. • Drive understanding of the importance of UX into most design/development teams [CHECK]. • Advocate for and educate about how to implement a serious, empirical, practical approach to gathering and analyzing user data. [Thanks to the career-long work of Sauro and Lewis, culminating in this book, we can now say . . . CHECK.]" – Randolph G. Bias, Professor, School of Information, The University of Texas at Austin
About the Author
Dr. Jeff Sauro is a six-sigma trained statistical analyst and founding principal of MeasuringU, a customer experience research firm based in Denver. For over fifteen years he’s been conducting usability and statistical analysis for companies such as Google, eBay, Walmart, Autodesk, Lenovo and Drobox or working for companies such as Oracle, Intuit and General Electric.
Jeff has published over twenty peer-reviewed research articles and five books, including Customer Analytics for Dummies. He publishes a weekly article on user experience and measurement online at measuringu.com.
Jeff received his Ph.D in Research Methods and Statistics from the University of Denver, his Masters in Learning, Design and Technology from Stanford University, and B.S. in Information Management & Technology and B.S. in Television, Radio and Film from Syracuse University. He lives with his wife and three children in Denver, CO.
Dr. James R. (Jim) Lewis is a senior human factors engineer (at IBM since 1981) with a current focus on the measurement and evaluation of the user experience. He is a Certified Human Factors Professional with a Ph.D. in Experimental Psychology (Psycholinguistics), an M.A. in Engineering Psychology, and an M.M. in Music Theory and Composition. Jim is an internationally recognized expert in usability testing and measurement, contributing (by invitation) the chapter on usability testing for the 3rd and 4th editions of the Handbook of Human Factors and Ergonomics, presenting tutorials on usability testing and metrics at various professional conferences, and serving as the keynote speaker at HCII 2014. He was the lead interaction designer for the product now regarded as the first smart phone, the Simon, and is the author of Practical Speech User Interface Design.
Jim is an IBM Master Inventor Emeritus with 88 patents issued to date by the US Patent Office. He serves on the editorial board of the International Journal of Human-Computer Interaction, is co-editor in chief of the Journal of Usability Studies, and is on the scientific advisory board of the Center for Research and Education on Aging and Technology Enhancement (CREATE). He is a member of the Usability Professionals Association (UPA), the Human Factors and Ergonomics Society (HFES), the ACM Special Interest Group in Computer-Human Interaction (SIGCHI), past-president of the Association for Voice Interaction Design (AVIxD), and is a 5th degree black belt and certified instructor with the American Taekwondo Association (ATA).
Most helpful customer reviews
7 of 7 people found the following review helpful.
great
By hans hartman
Whether you're conducting large sample research projects or small ones, "Quantifying the user experience" is the most comprehensive and pragmatic statistical handbook I've seen that systematically explains various statistical methods for drawing reliable conclusions or determining the optimal sample sizes. Great resource for conducting surveys, A/B tests or (and here they really shine) small sample usability testing projects.
Rather than starting with a description of various statistical theories, the authors begin with specific user research scenarios and then introduce the theoretical methods they feel most suitable for planning or analyzing these scenarios. They don't shy away from sharing their pragmatic preferences for particular methods, based on their own experience working in the field.
I find the book useful also beyond user experience testing scenarios - it is a great resource for any user-oriented research, including various types of marketing research.
3 of 3 people found the following review helpful.
Well done how Jeff introduced me into Measuring the User Experience
By kcnsays
First things first: Thank you, Jeff! I can not say how oftenI told myself (and also "bugged" my colleagues with it) that I am so glad to have read this book. As a solid fundament for the statistical part to my master thesis concerning usability I was looking for some material. THIS book gave me everything I have needed so far.
By following it chapter through chapter, Jeff will run you through the most important statistical tools and knowledge that is necessary for you to actually measure the user experience. I have read this within three days, marked every little spot that seemed to be important and after this I was planning my studies. Impossible to say how happy I was, when I saw that Jeff is also spending a whole chapter on questionaires. For example, he will explain why the have to be undergone "psychometric qualification" (totally new information for me). But you wont be left alone with this information. Right after he is sheding light on the most common questionaire types (post task and post test questionaires) plus the statistical analysis.
I could be writing a lot more here at this point (and I probably will when my thesis is done) but for now let me tell you: Read this book and see how interesting/helpful and essential statistics are when doing user research.
Great job, full recommendation!
3 of 3 people found the following review helpful.
Great resource for quant work in user research!
By John Dirks
I've been waiting for a book like this for a long time. Most of my user research consulting work is qualitative, but I'm periodically faced with running benchmark usability studies or designing other quantitative user research projects that involve inferential statistics. No more dusting off old college stats textbooks. This book and its Excel and R Companion book are a one-stop shop for determining appropriate quantitative research methods and statistical tests to use in UX work. The authors draw many practical examples from usability studies, tie statistical theory together with practice when using small sample sizes, and even include a crash course in statistical concepts as an appendix. I've been a fan of Jeff Sauro's website for several years now and am very pleased that he and Jim Lewis have authored this exceptional resource.
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