How might we increase confidence in purchasing online by helping our customers understand how a product will fit?

TIMELINE
8 Weeks

THE TEAM
1 UX Designer
1 UX Researcher
1 Product Owner

MY ROLE
Lead UX/UI Designer

  • Researching and understanding problem space & defining design strategies

  • Sketching and presenting ideas for critique and review

  • Iterative User Testing

  • Visual Design

  • Pixel Perfect File Preparation

  • Pairing with developers for production release

Fit is a primary purchase decision influencer in a number of Abercrombie’s categories, and despite implementing a variety of fit features, we were still seeing a large number of customers saying that they were not confident in the size they selected.

Using a site audit, voice of the customer data, and data analytics, we discovered some key issues that may be creating a lack of confidence in Abercrombie’s fit.

Some reasons around customers are not confident in their purchase include that fit information is:

  • Hard to find 

  • Scattered across the page 

  • Inconsistent 

  • Irrelevant 

  • Not relatable 

How might we increase confidence in purchasing online by helping our customers understand how a product will fit?

Design Strategies

  1. Discoverable 
    How might we make current fit information easier to find? 

  2. Consolidated 
    How might we consolidate our fit information? 

  3. Consistent 
    How might we present our fit information in a consistent way? 

  4. Contextually Relevant 
    How might we provide relevant fit info across our varied products. 

  5. Relatable 
    How might we help customers understand our fit information in the way that is personal? 

Sketches & Wireframes

Our solution created a "hub" for fit information, in a place customers are already expecting this information to be - the Size Guide. 

The fit information is specific, contextual, and relevant to each individual product, and gives customers an snapshot of all size related info they need to make their purchase. 

The elevated size guide resulted in a statistically significant increase in RPV (revenue per visitor) in an A/B test, and was pushed out to all traffic.

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