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Fonz Morris

Lead Product Designer , Netflix

About Fonz Morris

Great design gives Fonz life. Prior to joining Netflix, he led a design team at Coursera – the world’s leading online educational platform. As a founder and growth designer, he’s led product design at two startups and worked with some of the world’s biggest companies! As a leader, Fonz focuses on balancing experience with spontaneity and intense creativity with the discipline and methodology of production. His undergraduate career began at the HBCU Morehouse College and ended with his earning a B.S in Computer Science from Georgia State University. With no formal education in design, he is an advocate for the self-taught designer. Additionally, he mentors design students through Made In The Future, Cascade SF, California College of the Arts, and General Assembly’s UX Design Bootcamp. Fonz’s passion is creating effective and successful experiences that engage, inspire and attract customers. He was a cohort member at First Round Capital’s Founding Designer Track and is currently a cohort member at Floodgate Fund and a Design advisor for Signal Fire. His talent and enthusiasm are well-respected throughout the Design industry and he has been invited to speak for several professional tech audiences, including Afrotech, DesignxUs, UC Berkeley and UC Davis.

Speaking at the conference

Q&A with Fonz Morris & Melissa Smith (PhD)

Jeremy will take your questions for Fonz and Melissa.

Working on the Growth Design Team

What is a Growth Designer? Challenges? Best methods to decide what experiments to run? What strategies/ best practices do you have to move fast? What metrics do you track? How is growth product, engineering and design different from non-growth roles in your company? How do you connect macro hypotheses you have about the market to small-scale, iterable experiments you can run? How do you map out testing where/if/how your product was getting adopted? What user research techniques did you find extremely valuable? How do you prioritize experiments? Acquisition? Activation? Learning? How do you balance user feedback with data, particularly when the two don’t agree? How do you decide, evaluate and iterate on their metrics?

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