INNOVATE FASHION E-COMMERCE •
AMAZON LAB126
Blue Sky Concepts & Research Informs 5 Year Road Map
OPPORTUNITY
Working with the talented team at Amazon Labs126, we sought to innovate the online fashion shopping experience. Based on preliminary data expressing customer pain points and values, Amazon Fashion needed to offer the conveniences of online shopping with the advantages of an in-person fitting room and a sales associate. Big Fashion had yet to break ground on any of the advantages made possible by introducing technology to the equation. Thus, the space was blue sky and forward-looking at a 5 year agile roadmap.
APPROACH & STRATEGY
We began by surveying the market, our competitors and related initiatives being developed by other teams. We then began monthly design sprints with the goal of testing bi-weekly iterations with customers. Over the course of 4 months, we co-designed our V1 fashion features and one primary program.
PROCESS & METHODS
Research & Strategy
Survey, Competitive analysis, Design sprint, Contextual inquiry, Structured interviews, Semi-structured interviews, Product strategy
Design
Storyboards, UX design, Prototypes, Design strategy
We first surveyed 10,000 customers who spent over $1000 on clothing from Amazon.com in the past year. Our analysis revealed: poor search & discovery tools for fashion shopping, difficulty assessing fit, feel, and style, a lack of personalized support, and an Interest in clothing subscriptions and AR fit tools.
To innovate solutions for these issues, we conducted design sprints generating testable ideas such as: an AR app for virtual try-ons, style matching, and fit; personal style profiles to generate recommendations; curated fashion box subscriptions, enhanced search tools based on various criteria
We iterated through additional sprints with customers using contextual inquiry and co-design along with semi-structired interviews to solidify our product and design strategies as well as the team’s design roadmap.
Landing on a good V1, we took our strategy and design to the executive team for a green light and additional investment.
RESULTS
Executive strategy
Product & Design strategies
Feature roadmap
Style Profile matches Subscription Fashion Box recs
ML/AI Mobile Fit Tool
AR Mobile Fit Tool
Research artifacts are confidential. I am happy to share details in a zoom call.
Style Profile for Fashion Boxes
Informs recommendations based on interest
AR Fit Tool
Compares fit for known items versus search results
Wardrobe Style Ideas
Based on photo library of current wardrobe/fit and preferences