Emma Quinn

Senior UX Researcher @ Credit Karma

About Emma Quinn

Emma Quinn is a Senior UX Researcher at Credit Karma, with a background in biopsychology and human factors. She has held various research roles at institutions such as MIT, Stanford University, and Fitbit, and earned her Master of Science from Bentley University.

Work at Credit Karma

Emma Quinn has been employed at Credit Karma as a Senior UX Researcher since 2019. In this role, she focuses on user experience research to enhance the design and functionality of Credit Karma's financial products. Her work involves gathering user insights, conducting usability studies, and collaborating with cross-functional teams to improve the overall user experience.

Education and Expertise

Emma Quinn holds a Master of Science in Human Factors and Information Design from Bentley University - McCallum Graduate School of Business, which she completed from 2017 to 2019. She also earned a Bachelor of Science in Biopsychology from the University of California, Santa Barbara (UCSB), where she studied from 2007 to 2011. Her educational background provides her with a strong foundation in understanding human behavior and design principles.

Background

Emma Quinn's professional journey began with her role as an Undergraduate Research Assistant at the Neuroscience Research Institute at UC Santa Barbara from 2010 to 2011. She then worked as a Research Assistant at The Picower Institute for Learning & Memory at MIT from 2011 to 2013. Following this, she served as a Research Coordinator at Stanford University from 2013 to 2015, gaining experience in research methodologies and project management.

Previous Experience in User Research

Before joining Credit Karma, Emma Quinn held various positions in user research. She worked as a Research Analyst at Fitbit from 2016 to 2017 and later as a Researcher at Fitbit for four months in 2017. Additionally, she interned as a User Researcher at SoFi for two months in 2018. These roles contributed to her expertise in user-centered design and research techniques.

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