Quantifying the User Experience: Practical Statistics for User Research Most chapters also include a set of problems and answers that enable readers to test their understanding of the . The impact of good and bad designs can be quantified in terms of conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales. However, usability
| Title | : | Quantifying the User Experience: Practical Statistics for User Research |
| Author | : | |
| Rating | : | 4.60 (471 Votes) |
| Asin | : | 0123849683 |
| Format Type | : | Paperback |
| Number of Pages | : | 312 Pages |
| Publish Date | : | 2012-03-16 |
| Genre | : |
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
Editorial : "Quantifying the User Experience will make a terrific textbook for any series of UX research courses…I highly recommend this book to anyone who wants to integrate quantitative data into their UX practice."--Technical Communication, May 2013 "…as a whole, it provides a pragmatic approach to quantifying UX, without oversimplifying or claiming too much. It delivers what it promises. This book is valuable for both practitioners and students, in virtually any discipline. It can help psychologists transfer their statistical knowledge to UX practice, practitioners quickly assess their envisioned design and analysis, engineers demystify UX, and students appreciate UX’s merits."--ComputingReviews, March 19, 2013 "The most unique contributions of this book are the logic and practicality used to describe the appropriate application of those measures…Sauro and Lewis strike a perfect balance between the complexity of statistical theory and the simp
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