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Quantifying the User Experience: Practical Statistics for User Research
 
 

Quantifying the User Experience: Practical Statistics for User Research [Kindle Edition]

Jeff Sauro , James R Lewis
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Review

"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.com, 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 simplicity of applying statistics practically. Whether you wish to delve deeper into the enduring controversies in statistics, or simply wish to understand the difference between a t-test and Chi-square, you will find your answer in this book. Quantifying the User Experience is an invaluable resource for those who are conducting user research in industry."--User Experience, Vol. 13, Issue 1, 1st Quarter "Written in a conversational style for those who measure behavior and attitudes of people as they interact with technology interfaces, this guide walks readers through common questions and problems encountered when conducting, analyzing, and reporting on user research projects using statistics, such as problems related to estimates and confidence intervals, sample sizes, and standardized usability questionnaires. For readers with varied backgrounds in statistics, the book includes discussion of concepts as necessary and gives examples from real user research studies. The book begins with a background chapter overviewing common ways to quantify user research and a review of fundamental statistical concepts. The material provides enough detail in its formulas and examples to let readers do all computations in Excel, and a website offers an Excel calculator for purchase created by the authors, which performs all the computations covered in the book. An appendix offers a crash course on fundamental statistical concepts."--Reference and Research Book News, August 2012, page 186-7

Product Description

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

Product details

  • Format: Kindle Edition
  • File Size: 5907 KB
  • Print Length: 312 pages
  • Publisher: Morgan Kaufmann; 1 edition (16 Mar 2012)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B007NJP8TE
  • Text-to-Speech: Enabled
  • X-Ray:
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: #178,613 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews
By kcnsays
Format:Paperback
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!
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5.0 out of 5 stars Brilliant book for those interested in UX and UR 27 May 2014
Format:Paperback|Verified Purchase
This book tackles so many useful statistical methods for analysing the user experience with so many products. I found and continue to find this book very useful for technology based Product Management.

Like any book looking at statistics it does help to have a solid grasp of the basics first.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 5.0 out of 5 stars  7 reviews
3 of 3 people found the following review helpful
5.0 out of 5 stars great 28 July 2012
By hans hartman - Published on Amazon.com
Format:Paperback|Verified Purchase
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.
2 of 2 people found the following review helpful
5.0 out of 5 stars Great resource for quant work in user research! 6 July 2012
By John Dirks - Published on Amazon.com
Format:Paperback|Verified Purchase
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.
1 of 1 people found the following review helpful
5.0 out of 5 stars Well done how Jeff introduced me into Measuring the User Experience 28 May 2014
By kcnsays - Published on Amazon.com
Format:Paperback
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!
1 of 1 people found the following review helpful
5.0 out of 5 stars so useful for evaluations validity 6 Jun 2012
By Daniel B. - Published on Amazon.com
Format:Paperback
This book will be very useful for all the designers that wish to bring scientific validity in their services and products evaluations (and there is a lot of work ahead in this domain...), thanks to all the interesting indications and computations it contains.
1 of 1 people found the following review helpful
5.0 out of 5 stars Valuable book for both researchers and managers 22 May 2012
By Dean Barker - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
Extremely valuable book. Will be useful for practitioners and managers of user experience. I've been practicing user research for two decades and a book like this is long overdue. The authors cover the foundations of quantitative user research and present a number of leading edge ideas. They present complex formulas in a way that allows those with just basic skills in statistics to still leverage the techniques presented. They even show you the back of the napkin math on the back of a napkin!

The decision maps for application of specific techniques and the discussion of statistical controversies will be particularly useful for intermediate practitioners. Also, there are copious references which provide for additional learning, reference, and citations to apply to your own research.
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