"The primary purpose of this book is to provide a statistical resource for those who measure the behavior and attitudes of people as they interact with interfaces. The focus is on methods applicable to practical user research, based on our experience, investigations, and reviews of the latest statistical literature"--
Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. However, usability practitioners and user researchers are increasingly expected to quantify the benefits of their efforts. The impact of good and bad designs can be quantified in terms of conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales. The book discusses ways to quantify user research; summarize data and compute margins of error; determine appropriate samples sizes; standardize usability questionnaires; and settle controversies in measurement and statistics. Each chapter concludes with a list of key points and references. Most chapters also include a set of problems and answers that enable readers to test their understanding of the material. This book is a valuable resource for those engaged in measuring the behavior and attitudes of people during their interaction with interfaces. Provides practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Show practitioners which test to use, why they work, best practices in application, along with easy-to-use excel formulas and web-calculators for analyzing data Recommends ways for practitioners to communicate results to stakeholders in plain English Resources and tools available at the authors’ site: http://www.measuringu.com/
Author: Jeff Sauro
Publisher: Morgan Kaufmann
Release Date: 2016-07-12
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
Author: William Albert
Release Date: 2013-05-23
Measuring the User Experience was the first book that focused on how to quantify the user experience. Now in the second edition, the authors include new material on how recent technologies have made it easier and more effective to collect a broader range of data about the user experience. As more UX and web professionals need to justify their design decisions with solid, reliable data, Measuring the User Experience provides the quantitative analysis training that these professionals need. The second edition presents new metrics such as emotional engagement, personas, keystroke analysis, and net promoter score. It also examines how new technologies coming from neuro-marketing and online market research can refine user experience measurement, helping usability and user experience practitioners make business cases to stakeholders. The book also contains new research and updated examples, including tips on writing online survey questions, six new case studies, and examples using the most recent version of Excel. Learn which metrics to select for every case, including behavioral, physiological, emotional, aesthetic, gestural, verbal, and physical, as well as more specialized metrics such as eye-tracking and clickstream data Find a vendor-neutral examination of how to measure the user experience with web sites, digital products, and virtually any other type of product or system Discover in-depth global case studies showing how organizations have successfully used metrics and the information they revealed Companion site, www.measuringux.com, includes articles, tools, spreadsheets, presentations, and other resources to help you effectively measure the user experience
Author: Jeff Sauro
Publisher: John Wiley & Sons
Release Date: 2015-02-02
Genre: Business & Economics
Ensuring your customers are having positive experiences with your company at all levels is crucial to the success of your business. Sauro shows you how to measure each stage of the customer journey and use the right analytics to understand customer behavior and make key business decisions.
Author: James R. Lewis
Release Date: 2012
A step-by-step guide for calculating the most common statistical procedures in user research using Excel or R. With 100 examples pulled from Quantifying the User Experience (Morgan-Kaufmann) we provide the reader with the right methods for comparing means and proportions, generating confidence intervals, finding the right sample size as well as many statistical procedures not available in common statistical packages. The procedures are relevant for small and large sample sizes.
"Understanding Your Users is an easy to read, easy to implement, how-to guide on usability in the real world. It focuses on the "user requirements gathering" stage of product development and it provides a variety of techniques, many of which may be new to usability professionals. For each technique, readers will learn how to prepare for and conduct the activity, as well as analyze and present the data - all in a practical and hands-on way. The techniques can be used together to form a complete picture of the users' requirements or they can be used separately to address specific product questions. These methods have helped product teams understand the value of user requirements gathering by providing insight into how users work and what they need to be successful at their tasks."--BOOK JACKET.
Observing the User Experience: A Practitioner’s Guide to User Research aims to bridge the gap between what digital companies think they know about their users and the actual user experience. Individuals engaged in digital product and service development often fail to conduct user research. The book presents concepts and techniques to provide an understanding of how people experience products and services. The techniques are drawn from the worlds of human-computer interaction, marketing, and social sciences. The book is organized into three parts. Part I discusses the benefits of end-user research and the ways it fits into the development of useful, desirable, and successful products. Part II presents techniques for understanding people’s needs, desires, and abilities. Part III explains the communication and application of research results. It suggests ways to sell companies and explains how user-centered design can make companies more efficient and profitable. This book is meant for people involved with their products’ user experience, including program managers, designers, marketing managers, information architects, programmers, consultants, and investors. Explains how to create usable products that are still original, creative, and unique A valuable resource for designers, developers, project managers - anyone in a position where their work comes in direct contact with the end user Provides a real-world perspective on research and provides advice about how user research can be done cheaply, quickly and how results can be presented persuasively Gives readers the tools and confidence to perform user research on their own designs and tune their software user experience to the unique needs of their product and its users
Author: Richard Caddick
Publisher: John Wiley & Sons
Release Date: 2011-08-24
A clear and focused guide to creating useful user experience documentation As web sites and applications become richer and more complex, the user experience (UX) becomes critical to their success. This indispensible and full-color book provides practical guidance on this growing field and shares valuable UX advice that you can put into practice immediately on your own projects. The authors examine why UX is gaining so much interest from web designers, graduates, and career changers and looks at the new UX tools and ideas that can help you do your job better. In addition, you'll benefit from the unique insight the authors provide from their experiences of working with some of the world's best-known companies, learning how to take ideas from business requirements, user research, and documentation to create and develop your UX vision. Explains how to create documentation that clearly communicates the vision for the UX design and the blueprint for how it's going to be developed Provides practical guidance that you can put to work right away on their own projects Looks at the new UX tools and ideas that are born every day, aimed at helping you do your job better and more efficiently Covers a variety of topics including user journeys, task models, funnel diagrams, content audits, sitemaps, wireframes, interactive prototypes, and more Communicating the User Experience is an ideal resource for getting started with creating UX documentation.
Author: Jeffrey Rubin
Publisher: John Wiley & Sons
Release Date: 2011-03-10
Whether it's software, a cell phone, or a refrigerator, your customer wants - no, expects - your product to be easy to use. This fully revised handbook provides clear, step-by-step guidelines to help you test your product for usability. Completely updated with current industry best practices, it can give you that all-important marketplace advantage: products that perform the way users expect. You'll learn to recognize factors that limit usability, decide where testing should occur, set up a test plan to assess goals for your product's usability, and more.
Eye tracking is a widely used research method, but there are many questions and misconceptions about how to effectively apply it. Eye Tracking the User Experience--the first how-to book about eye tracking for UX practitioners--offers step-by-step advice on how to plan, prepare, and conduct eye tracking studies; how to analyze and interpret eye movement data; and how to successfully communicate eye tracking findings.
Author: Peter Bruce
Publisher: "O'Reilly Media, Inc."
Release Date: 2017-05-10
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Author: Scott Ambler
Publisher: John Wiley & Sons
Release Date: 2002-08-14
The first book to cover Agile Modeling, a new modeling technique created specifically for XP projects eXtreme Programming (XP) has created a buzz in the software development community-much like Design Patterns did several years ago. Although XP presents a methodology for faster software development, many developers find that XP does not allow for modeling time, which is critical to ensure that a project meets its proposed requirements. They have also found that standard modeling techniques that use the Unified Modeling Language (UML) often do not work with this methodology. In this innovative book, Software Development columnist Scott Ambler presents Agile Modeling (AM)-a technique that he created for modeling XP projects using pieces of the UML and Rational's Unified Process (RUP). Ambler clearly explains AM, and shows readers how to incorporate AM, UML, and RUP into their development projects with the help of numerous case studies integrated throughout the book. AM was created by the author for modeling XP projects-an element lacking in the original XP design The XP community and its creator have embraced AM, which should give this book strong market acceptance Companion Web site at www.agilemodeling.com features updates, links to XP and AM resources, and ongoing case studies about agile modeling.
Author: Laura Klein
Publisher: "O'Reilly Media, Inc."
Release Date: 2013-05-02
Genre: Business & Economics
Offers a series of standalone chapters that let you concentrate on those areas most important to your startup. The advice Laura Klein provides in this book comes from more than 15 years of working with startups and building great user experiences.
It’s Our Research: Getting Stakeholder Buy-in for User Experience Research Projects discusses frameworks, strategies, and techniques for working with stakeholders of user experience (UX) research in a way that ensures their buy-in. This book consists of six chapters arranged according to the different stages of research projects. Topics discussed include the different roles of business, engineering, and user-experience stakeholders; identification of research opportunities by developing empathy with stakeholders; and planning UX research with stakeholders. The book also offers ways of teaming up with stakeholders; strategies to improve the communication of research results to stakeholders; and the nine signs that indicate that research is making an impact on stakeholders, teams, and organizations. This book is meant for UX people engaged in usability and UX research. Written from the perspective of an in-house UX researcher, it is also relevant for self-employed practitioners and consultants who work in agencies. It is especially directed at UX teams that face no-time-no-money-for-research situations. Named a 2012 Notable Computer Book for Information Systems by Computing Reviews Features a series of video interviews with UX practitioners and researchers Provides dozens of case studies and visuals from international research practitioners Provides a toolset that will help you justify your work to stakeholders, deal with office politics, and hone your client skills Presents tried and tested techniques for working to reach positive, useful, and fruitful outcomes