Wayfair: Visual Search Experience
Matt Gelfand
As Wayfair’s product inventory grew, certain large product categories became cumbersome for users to navigate via filters and pagination alone.
For instance, more than 800,000 products were in the wall art category at the time. To help spur discovery, we explored a visual search concept where users are presented with groups of products with similar styles (e.g., color, shape, and style). The goal was to more effectively help users find the perfect item for them (the "a-ha" moment).
Utilizing a proprietary data science model, we’d allow users to drill down based on their style preferences, introducing products that may have previously been buried deep in pagination due to lack of popularity or sales.
User testing, competitive analysis, and a two-day design sprint helped guide the concept with the KPIs of improving discoverability and engagement in mind.
Initial wireframe of the concept
Onboarding the new experience
Concepts during a "Crazy Eights" sketching session
Concept 1: Simple layout with minimal filters
Concept 1: Simple layout with minimal filters
Concept 1: Simple layout with minimal filters
Concept 1: Simple layout with minimal filters
Concept 1: Simple layout with minimal filters
Concept 2: Sidebar drawer that keeps users in context of the search results
Concept 2: Sidebar drawer that keeps users in context of the search results
Concept 2: Sidebar drawer that keeps users in context of the search results
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Posted Sep 18, 2024
Led a feature team for a new search concept that allowed users to search for items via visual groups instead of the typical search experience.
