Out of my love for sneakers, I initiated a project with members of the eBay Global Brand Team and Computer Vision Team that eventually evolved into a larger project about exploring a new way to shop on eBay.

On one hand, the Computer Vision Team was looking for applications of their technology. On the other hand, the Global Brand Team had just completed a new brand strategy for eBay. We all wanted to bring the new strategy to life and showcase new ways that eBay could use computer vision technology in a new product.


Lead designer on a team of 4 including a creative director, iOS developer, and a research scientist


The project began when I was hacking on ideas with the Computer Vision Team to build a sneaker identification app. We wanted a fun way for shoppers to look for sneakers and also have a method of browsing that would be interesting and valuable to sneakerheads.

In order for shoppers to have a better understanding of the evolution of sneakers we began with a timeline view of Jordan models.

Early iterations of the timeline view and camera view (top left)

When we saw a presentation by the Global Brand Team for a new eBay brand strategy, we were inspired and saw an opportunity to join forces. The strategy was centered around the people's passions and eBay as one of the best places for shoppers to get the things they were passionate about.

We began a relationship with the creative director and started discussing how a passion-driven shopping experience might manifest itself. The timeline concept grew to become an interface that would empower users to learn more about their passions.

The interface became a two-axis form of navigation that we prototyped for different passions a shopper might have, whether it be sneakers, Jeeps, watches, or even IOT devices.

The two axis navigation can be used differently depending on the "passion"
An early interaction prototype

Users could see how products within their passions related to each other, whether it be release dates, categories, brands, or demand. They could also see additional details about a product they may not get from other ecommerce sites, such as designer names and backstory.

A prototype was developed with working image recognition and navigation but was killed due to lack of resources.