What might we do with the only fashion retail data set that could compete with Amazon?

We started with design research to find the intersection between our data and technology strategy, market viability and what our users desired in a new service.

Not only did we find that there’s a pretty low bar to delight users when we’re talking about personalized style products, we also found that they’re quite generous in sharing information through both initial and incremental surveys to gather personal details. Test participants were easily engaged through extensive onboarding questions, and willing to share preferences from a variety of social media platforms.

One of our most interesting insights: customers expect curation; they’re aware that algorithms are responsive to their interactions in digital products and feel most confident when we clearly communicate when and how their content is affected by our algorithms.

Design director: Bryn McCoy
Design lead: Lane Fujita


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