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Quantifying the User Experience: Practical Statistics for User Research
Quantifying the User 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.
312 pages, Paperback
First published March 16, 2012
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Displaying 1 - 11 of 11 reviews
August 20, 2012
Tough reading: this book requires strong statistics background to be fully understandable and useful to the reader. Good entry point for those who are looking for pointers into the quantitative side of user research. The main controversies regarding user research methods are robustly addressed, mostly based on recent developments in statistics that support ex. the validity of small samples in usability testing. There's also a good overview and comparison of questionnaires.
I missed a more practical and condensed set of guidelines for statistics laymen that one could use directly in everyday tasks.
I missed a more practical and condensed set of guidelines for statistics laymen that one could use directly in everyday tasks.
November 20, 2014
This book provides well-written instruction on the practical aspects of quantitative analysis in user research. Having a course or two of college-level stats is helpful for understanding the content. I appreciated the examples, the history and background for some of the conventions, and I was glad to see some controversial statistical issues handled in a very even-handed way. Also--I hope you like reading about confidence intervals because the authors evidently love writing about them (and calculating them, too).
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November 8, 2022I hate statistics, so my rating of this book would be 0/5. But that's a silly thing to do. I just read this entire book for class and feel like it should count towards my Å·±¦ÓéÀÖ total. >:(
September 9, 2012
My artwork was used by the author on page 244!
February 2, 2013
It's a shame that I was just about finished my certificate program in applied stat when this came out. It's really all I needed to know to add great quantitative analysis to my UX research!
April 29, 2019
It's fairly decent, nice reference points for measuring user experience, but it is very math-y. So depends on the reality of what you need in a workplace, and how much you want to emphasise quantitative measures of success versus qualitative measures in your organisation.
In the reality of most organisations I've worked in, it's mostly qual, and in as far as you get with quant, you can do with the HEART framework.
I think is a good reference book to have in the bookshelf when you know that you will have to measure success in metrics... and perhaps if your role is focused on pure User Research.
I think some of these things mayyy just be a bit old school, but still very useful!
In the reality of most organisations I've worked in, it's mostly qual, and in as far as you get with quant, you can do with the HEART framework.
I think is a good reference book to have in the bookshelf when you know that you will have to measure success in metrics... and perhaps if your role is focused on pure User Research.
I think some of these things mayyy just be a bit old school, but still very useful!
September 20, 2018
Very good book on using statistics in usability. I don't have a lot of knowledge / experience in usability testing (so no opinion on that), but the book gives a very good overview of the statistical methods that usability researchers should use (and unfortunately often don't).
I also liked the numerous reminders about the formulas and what the Greek letters represent (Really useful to have reminders on what everything means when you don't work with stats / data analysis in a research setting or on a constant basis).
I also liked the numerous reminders about the formulas and what the Greek letters represent (Really useful to have reminders on what everything means when you don't work with stats / data analysis in a research setting or on a constant basis).
October 24, 2017
If you haven't taken or grasped some decent Stats courses, you will still learn but not as much as you would with understanding of statistics. Will also most likely require second reading for most of us.
July 14, 2021
Scientific and systemic approach for customer development.
July 2, 2022
It is very good book more on statistics than user experiences, though it is focusing on how to analyzing the data of iUX.
August 9, 2014
A great book for understanding how to reason with small sample sizes in user research.
Displaying 1 - 11 of 11 reviews
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