Bridging Quant and Qual Digital Experience Testing

Abstract:

The best digital experiences materialize when “what” users do and “why” they do it are both well understood. For the last decade, however, quantitative analytics and qualitative experience testing have been largely distinct work streams, with separate tools and stakeholders. In this talk, I’ll present recent work from academia and industry that demonstrates how data-driven technologies can bridge the qualitative/quantitative gap, supporting richer UX analysis workflows and increasing speed to insight.

Bio:

Ranjitha Kumar is an Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign and the Chief Research Scientist at UserTesting. Her research has won best paper awards/nominations at premier conferences in human-computer interaction, and is supported by grants from the NSF, Google, Amazon, and Adobe. She received her BS and PhD from the Computer Science Department at Stanford University, and co-founded Apropose, Inc., a data-driven design startup backed by Andreessen Horowitz and New Enterprise Associates.

Schedule - EST (UTC-5)

6:45 - 7:00: Virtual Networking

7:00 - 8:00: Presentation

8:00 - 8:30: Q & A