eBay Passions

eBay Passions
Project Overview

A self-initiated project sparked by our passion for sneakers and desire to bring together product, our new brand strategy, and tech from our computer vision AI team.

Role and Team

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

  • Showcase the potential of our new brand strategy that was focused around enthusiasts and buyer passions.
  • Find an application for our computer vision technology.


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 buyer 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 the project was unfortunately killed due to lack of resources.