From Interviews to Insights: Design Ethnography with ATLAS.ti

About this webinar

Qualitative research is common in design, but turning interviews into clear, actionable insights is challenging. Join Sheng-Hung Lee to see how he uses ATLAS.ti in his Design Ethnography course, where students conduct ethnographic interviews on future autonomous driving and learn to transform qualitative data into meaningful design direction.

In this webinar, you’ll learn:

How design ethnography methods and qualitative analysis tools support the transition from raw interviews to structured insights
Approaches for organizing and analyzing interview data using ATLAS.ti
Techniques for connecting a mixed-method approach and research findings to design decisions in practice

Speaker Bio: Sheng-Hung Lee, Ph.D. is an Assistant Professor of Urban Technology and Director of d-mix lab at the University of Michigan. Trained in design and engineering, his research integrates service, technology, and societal perspectives to advance design for longevity (D4L) and service systems with systemic impact.