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Design User Experience Design Statistics

Practical Statistics for The User Experience I

Are your designs statistically significant? A Practical Online Course for using stats in User Experience (UX)
Rating: 3.7 out of 53.7 (247 ratings)
4,913 students
Created by Jeff Sauro
Published 5/2012
English
English [Auto]
30-Day Money-Back Guarantee

Description

Measurement is important but statistics can be intimidating. In this Practical Statistics for User Experience (UX) Course we will present approachable concepts and lots examples for generating statistical solutions to common questions in user research. The presentation includes many graphical representations and a "What test do I use?" decision tree.

Is Design A more usable than Design B? Do more users convert on the new design? Is our Net Promoter Score statistically better than last year?

Learn to use and interpret the right statistical tests on small and large sample user-data using just Excel.  We will cover:

  • Sampling Fundamentals
  • The Normal Distribution
  • Confidence Intervals
  • Comparing Means and Proportions
  • Understanding what statistical test to perform and how to perform it
  • Interpreting p-values
  • Reporting and Explaining Statistical Significance to Stakeholders
  • Making better decsions with data and understanding uncertainty and risk

This course is course number E 60.2 from a comprehensive curriculum on User experience (UX) currently under development at The Online User eXperience Institute (OUXI).

Course content

3 sections • 18 lectures • 7h 58m total length

  • Preview11:12
  • Excel & R Companion to Quantifying the User Experience
    336 pages
  • Stats Usability Pak Lite
    1.7 MB
  • Fundamentals Continued (Includes The Normal Distribution)
    05:23

  • How Precise are our Estimates? Confidence Intervals in User Research
    10:03
  • Confidence Interval Explanation and Examples
    13:01
  • Confidence Interval Practice Exercises
    13:21
  • Confidence Interval Practice Exercises 2
    06:36
  • Confidence Intervals for Task Time Data
    17:11
  • Confidence Interval Practice Exercises 3 & Review
    07:52

  • Is there are Statistical Difference? Comparing Two Means or Proportions
    08:41
  • Hypothesis Testing and the p-value
    08:20
  • Confidence Interval Around the Difference Between Means
    03:43
  • Comparing Two Means Practice Exercise 1
    09:46
  • Comparing Two Means Practice Exercise 2
    09:44
  • Comparing Two Proportions (A/B Testing)
    11:35
  • Hypothesis Testing Review
    05:22
  • Concluding Remarks and Resources
    01:06

Instructor

Jeff Sauro
Statistical Analyst and Usability Engineer
Jeff Sauro
  • 3.7 Instructor Rating
  • 247 Reviews
  • 4,913 Students
  • 1 Course

Jeff is a Six-Sigma trained statistical analyst and pioneer in quantifying the user experience. He specializes in making statistical concepts understandable and actionable. Jeff has published over fifteen peer-reviewed research articles and presents tutorials and papers regularly at the leading Human Computer Interaction conferences: CHI, UPA and HCII and HFES. He is author of four books including: Quantifying the User Experience: Practical Statistics for User Research (Morgan Kaufmann).

He has worked for GE, Intuit, PeopleSoft and Oracle and has consulted with dozens of Fortune 500 companies.


Jeff received his Masters in Learning, Design and Technology from Stanford University with a concentration in statistical concepts. Prior to Stanford, he received his B.S. in Information Management & Technology and BS in Television, Radio and Film from Syracuse University. While at Syracuse he completed a two-year thesis study on web-usability.

Jeff is a Six-Sigma trained statistical analyst and pioneer in quantifying the user experience. He specializes in making statistical concepts understandable and actionable. Jeff has published over fifteen peer-reviewed research articles and presents tutorials and papers regularly at the leading Human Computer Interaction conferences: CHI, UPA and HCII and HFES. He is author of the forthcoming book: Quantifying the User Experience: Practical Statistics for User Research (Morgan Kaufman, March 2012).  He has worked for GE, Intuit, PeopleSoft and Oracle and has consulted with dozens of Fortune 500 companies.

Education
Jeff received his Masters in Learning, Design and Technology from Stanford University with a concentration in statistical concepts. Prior to Stanford, he received his B.S. in Information Management & Technology and BS in Television, Radio and Film from Syracuse University. While at Syracuse he completed a two-year thesis study on web-usability.

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