Jeff Sauro Statistical Analyst and Usability Engineer

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.