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Improving the User Experience through Practical Data Analytics: Gain Meaningful Insight and Increase Your Bottom Line
Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data―not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you’ll delight your users, increase your bottom line and gain a powerful competitive advantage for your company―and yourself. Key features
396 pages, Paperback
First published March 1, 2015
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Displaying 1 - 2 of 2 reviews
November 15, 2015
This book is an introductory statistics textbook that contextualizes the statistical tests for user experience research.
I've found it quite useful. It was helpful to have the statistical tests presented in a context where I could apply them. By the time I finished reading it, I had already used a couple of those from the earlier pages in work projects to determine the significance of some survey results.
Each chapter focuses on a different type of statistical test for a different context and then shows how to perform the test using Excel and SPSS. (In a couple of cases, the tests were only possible in SPSS, but not Excel.)
The authors also bookend each chapter with a quick fictitious "case study" to contextualize how the research is used in real life. Although these added a bit of color to an otherwise drab book, I found their projection of other members of the development team to be far too negative. Every single supervisor the authors created in these little stories is overbearing, inconsiderate, or rude, while the internal voice of "you" the UX researcher in the stories is patronizing, focused on flaws, and self-aggrandizing.
I've found it quite useful. It was helpful to have the statistical tests presented in a context where I could apply them. By the time I finished reading it, I had already used a couple of those from the earlier pages in work projects to determine the significance of some survey results.
Each chapter focuses on a different type of statistical test for a different context and then shows how to perform the test using Excel and SPSS. (In a couple of cases, the tests were only possible in SPSS, but not Excel.)
The authors also bookend each chapter with a quick fictitious "case study" to contextualize how the research is used in real life. Although these added a bit of color to an otherwise drab book, I found their projection of other members of the development team to be far too negative. Every single supervisor the authors created in these little stories is overbearing, inconsiderate, or rude, while the internal voice of "you" the UX researcher in the stories is patronizing, focused on flaws, and self-aggrandizing.
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May 30, 2019So dry - not getting anything from this
Displaying 1 - 2 of 2 reviews