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Designing Better Content Solutions for Personalized Recommendations

A talk by Ryan Bigge at IA Summit 2018

About the Talk

March 24, 2018 2:00 PM

Chicago, IL

Chicago, IL

Hello, {firstname}. It looks like you want to learn how Shopify combined {content strategy} and {design} to improve the {UX} of their personalized marketing recommendations. Excellent choice!

Building human-friendly sentences from the raw material of machine learning is finicky work. Despite all the hype for algorithms, there isn’t much practical advice available for creating personalized content solutions that are consistent, relevant, and scalable.

This talk explores Shopify’s approach to the problem — treating personalized recommendations as a design problem. We started by thinking carefully about the mental model(s) users bring to our product. Then we created principles to shape and constrain our recommendations. By using content and design principles to guide our work, we were able to make our UX as smart as our AI.

Attendees who enjoyed this description also enjoyed: content-first UX, structured content, and GDS design principles.

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