Yuli Patrick Hsieh

Dr. Y. Patrick Hsieh joined the Institute of Design as adjunct faculty in 2017 to teach Survey Methods, which offers hands-on learning experience in developing end-to-end survey projects with social science training applied to the contexts of product design, development cycles, and user experience.

Industry Experience

Patrick is an experienced mixed methods researcher with over 12 years of experience spanning UX research, large-scale social survey studies, and business intelligence. He specializes in developing fit-for-purpose research strategies that integrate qualitative and quantitative approaches, designing and directing mixed-methods research projects, creating online recruitment strategies to engage general, specialized, and hard-to-reach populations, crafting and testing survey instruments for individuals and establishments, and producing actionable data analytics to inform business decisions.

Following his PhD in Media, Technology, and Society from Northwestern University (2014), Patrick began his career at RTI International as a survey methodologist and digital sociologist, developing mixed-method research designs, traditional and web-based questionnaires, and integrating digital technologies such as mobile and social media into survey methodology to improve research design and data quality. His substantive research focuses on the implications of information and communication technologies for social relationships and digital inequalities in people’s social, psychological, and economic well-being.

Passionate about innovation in survey methodology, Patrick explores how emerging technologies and design thinking can expand the reach and relevance of research across disciplines. He currently serves as Principal Research Scientist at ReconMR, a full-service market research firm specializing in multimodal data collection, advanced analytics, and strategic insights, where he leads cross-functional teams to develop research proposals, optimize workflows, and direct internal research initiatives to produce evidence-based assets for business development.