Bill Albert is Executive Director of the Design and Usability Center, and an adjunct professor in the graduate program in Human Factors in Information Design at Bentley University. His research interests include user experience strategy, qualitative and quantitative research methods, and the science that underlies user experience and design.
He has been on the editorial board for the Journal of Usability Studies since 2009.
Research
The goal of this workshop is to teach participants how to measure the user experience for any type of product or interface, Participants will learn how to use a wide variety of UX metrics as part of their everyday work. Participants will become familiar with the most common UX metrics, as well as lesser known, but equally effective metrics. Participants will learn the strengths and limitations of each metric, when to use (and not use) each metric, and how to present UX data in a simple yet compelling way.
Who is this for?
This workshop is for anyone who has an interest in bringing some scientific rigor to their work. The instructor assumes that each participant will have at least some background in usability testing or user experience research. This means that each participant will understand some basic UX concepts, and have had some experience with user studies. This might include leading a usability lab study or simply observing usability lab sessions. However, the instructors do not expect participants to have a background in statistics or prior experience collecting and analyzing UX metrics.
What will be covered
The workshop will cover a variety of topics related to UX metrics. Initially, there will be a brief discussion on the importance of measurement, and some basic statistical concepts that are essential to measurement. Next, there will be a review of performance-based metrics such as task success, completion times, errors, lostness, and other metrics that are derived from measuring individual performance. The third section will cover self-reported metrics such as net-promoter score, SUS, expectations ratings, and other metrics derived from what people tell us about their experiences. The final section will include a brief survey of other UX metrics such as eye tracking, emotional engagement, and combined metrics (UX scorecards). Demonstrations will be given throughout the workshop on how to analyze UX data, including comparing means and calculating confidence intervals.