SPRINT31 PORTFOLIO

EasyFit

EasyFit reduces time spent on purchasing clothes by sorting them by style, fit, and comfort.

Design:
Developer:
Portfolio
Developer:
Portfolio
Developer:
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Portfolio

Problem Statement  

How might we reduce the amount of time spent purchasing clothes that fit and are comfortable for the buyer

Problem Background  

For many people, buying clothes is a high priority, driven by various reasons such as emotional satisfaction, body changes, or style updates. As a result, they invest a lot of time in searching online for the article that fits their needs. This process often involves browsing through a large selection of items, trying on multiple pieces, and dealing with inconsistent sizing across different brands. Additionally, shoppers may encounter issues such as limited stock, where the desired size or style is unavailable. This extensive search process can be frustrating and time-consuming, leaving buyers dissatisfied and exhausted. The challenge lies in efficiently finding clothing that meets personal preferences and needs without wasting time or facing frequent disappointments. 

User Pain Points & Research Insights

After interviewing 6 people I identified a few main pain points:

  1. Fashion customers waste a lot of time searching for a matching item. 67% of the people reported spending at least 15 hours a month searching for clothes, and 100% of them would like to reduce this time.
  2. Brands independently define clothing sizes, leading to variations across brands. All interviewed individuals reported experiencing disappointment when they discovered that an article they liked didn’t fit them. Additionally, all of them claimed to have experienced this at least once every couple purchases.

Supporting Data

A Salsify survey conducted in the USA with 1,397 participants and in the UK with 1,303 participants revealed that 25-31% of online consumers spend 30-60 minutes in their search.

93% of clothing returns are due to incorrect sizing or fit.

A Yopto survey demonstrates that 79% of clothing shoppers who returned items did so because they were dissatisfied with an item’s fit or quality. 

Landing on the Solution

Based on our target users’ pain points, we knew we wanted to work on the following features:

  • Surveying users to identify their favorite style and the occasion they are planning to wear the item for
  • Understanding customer’s body measurements
  • Filtering the clothes by store availability 
  • Sorting clothes based on prices

Learnings

Product Manager Learnings:

Ronit Serkin

I discovered that identifying and deeply understanding a problem is crucial. While this might seem obvious (at least it was to me when I first heard it), I’ve realized how much I tend to be influenced by a solution that I already have in mind. Additionally, I’ve also learned that the problem I’m passionate about may not always align with market demand. In such cases, being open to pivoting and adapting my approach has been crucial (though sometimes painful) to finding viable solutions and achieving meaningful impact.

Designer Learnings:

Developer Learnings:

Developers Learnings:

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Full Team Learning