Quant UX, or Quantitative User Experience (research) is an emerging field with strong industry applications, that applies quantitative methodologies (statistics, data-science) to understand how users interact with digital systems, to find bottlenecks and make better decisions.
See the course website: https://quantux.telecom-paris.fr/
The increasing integration of a digital layer in all facets of everyday life, from professional to personal, makes it essential to consider how diverse groups of end-users are interacting with digital systems. The majority of digital systems from websites to apps, are registering data on user-interactions which can be analyzed systematically to understand how users interact with an interface, where they encounter bottlenecks, and where there are opportunities for improvement. These include surveys, A/B testing, analysis of data logs, as well as psychophysiological methods like eye-tracking and others. Importantly, the aim of these methods is not stop at analysis, but needs to be linked with actionable insights and innovations.
This course will provide an introduction to key theoretical concepts and methodological approaches of Quant UX. The course will be hands-on. Students will work in small groups to analyse a proposed dataset or one the collect themselves. Different stages of the workflow will be explored each week (UX dimensions, problem definition, data analysis, iteration, testing, insights).
This course is taught in English.
Attendance in all classes is mandatory.
