When users didn’t know whether an image was AI-generated, the images we tested did not create any perception penalty compared to stock photos.
Study your users’ real-life behaviors and make data-informed design decisions
Rachel Banawa, Ph.D. is an Experience Specialist at Nielsen Norman Group. Rachel leverages her extensive training in quantitative methods and statistics in her research to turn complex data into actionable, evidence-based insights. She draws on her background in psychology and public health to bring an empathetic and holistic approach to understanding diverse user needs.
Prior to joining Nielsen Norman Group, Rachel worked as a Research Associate at the Fitzhugh Mullan Institute for Health Workforce Equity and as a Graduate Student Researcher at the University of California, Los Angeles. In these roles, she applied quantitative research methodologies to investigate pressing public health issues, with a focus on mental health and the lived experiences of marginalized and underrepresented populations.
She holds a Ph.D. in health policy and management from the University of California, Los Angeles, a Master's in health policy and management from the University of North Carolina at Chapel Hill, and a Bachelor’s in psychology from North Carolina State University.
Study your users’ real-life behaviors and make data-informed design decisions
Use metrics from quantitative research to demonstrate value
Calculate, interpret, and report the numbers from your quantitative UX studies
Use surveys to drive and evaluate UX design
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