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Grace Lynch
User Researcher at Peloton Interactive
Grace Lynch is a market research professional with three years of experience in providing companies with insightful data. She specializes in supporting F500 firms, utilizing her expertise to equip her clients with the necessary information to make informed business decisions. Grace is a collaborative self-starter, known for her excellent communication skills, analytical and creative thinking, insight, vision, and innovation.
Grace began her career in market research at Fuel Cycle, where she focused on tech and media/network accounts for her first year, then transitioned into the consumer packaged goods (CPG) and retail sector. Throughout her career, she has gained extensive experience in a range of areas, including concept and product testing, fit tests, wear tests, in-home usage testing (IHUT), ad tests, message testing, and tracker studies.
Grace holds a bachelor's degree in Psychology from Carnegie Mellon University, and she has worked as a research assistant at both Carnegie Mellon University's Infant Cognition Lab and the Brannon Lab at the University of Pennsylvania. She also served as a grader for David Rakison Phd’s Principles of Child Development course.
Grace’s skills include leadership, stakeholder management, project management, survey design and preparation, market research and reports, quantitative and qualitative analysis, influencing and team management, coaching, delivering presentations, business strategy development and client account management.
Highlights
What a ride! After 3 years with Peloton, I was laid off with many of my brilliant coworkers.
It’s hard to put into words how much this job meant to me. I learned and grew so much in my time there and wouldn’t trade any of it for the world. More than anything, the people I met in my time with Peloton made this a dream job for me. I am most grateful for them.
I am so proud of the work I got to do with Peloton. Whether it was the early morning and late nights testing hardware in the UXR lab, getting deep into personalization work, taking on an internal data science internship, pulling together literature reviews to close knowledge gaps, and countless other projects, I always managed to have fun and learn something new.
While I’m leaving a team I absolutely adored, I feel ready for a change. I will be taking some much needed time to relax and enjoy my summer and will be taking time to figure out for what’s next for me!
