Problem Statement

How can we help people quickly find the pants that fit online and offline?

Quickly finding a pair of pants that fits is never easy, and it's even harder for people who may have the abnormal body type or experiencing professional transitions. Oftentimes, it is time-consuming to try on different sizes of the same piece of clothing in a physical store. In an online scenario, misjudging the size of the clothes would inevitably lead to products returning and lower customer satisfaction.


Interaction Designer, Information Analyst

Conducting interview and survey, data analysis, building low fidelity wireframes, video filmming and editing.

Methods Used

Competitive Analysis, Interview, Survey, Persona, User flow, User climb, Video prototype

Tools Used

Axure, Visio, Flinto, Adobe Premiere


3 Weeks






  • Most existing competitors recommend clothing sizes based on complicated measurement systems.

  • Limited to only a select number of retailers, so these tools are accessible only at the certain online retailers.

1. Competitive Analysis
2. Primary Research

9 Shoppers in Xin Zhong Guan Shopping Mall.

  • What would people currently do to find clothes that fit online and offline?

  • How do people feel about the process and what are the potential pain points?


Xin Zhong Guan Shopping Mall

  • 5 out of 9 participants reported that they had trouble finding pants that fit well in stores.

  • To avoid spending time buying clothes in the stores, people would rather buy them online.

  • Generally, finding clothes that fit online is much more difficult than offline.

  • Trust of the recommendation system plays an important role in if users would use it.

WHO - Sample Size 82

People who have experiences of shopping online and offline.

  • What would people currently do to find clothes that fit online and offline?

  • How do people feel about the process and what are the potential pain points?

  • Size is one of the biggest problems customers report having when shopping for clothes.

  • 82% would be willing to use an app to help them more easily find clothing that fit them well.

  • And perhaps most importantly, 57% admitted that they lack any effective method for finding clothes which fit them well.

3. Ideation
Design Guidance
  • Our design should not require users to enter complicated body measurement.

  • In the online scenario, our design should give accurate size recommendation.

  • In the offline scenario, our design should make the purchase process more efficient.

  • The recommendation we give should make users feel trustworthy.

The Solution
  1. Customers tell iSize the brand, style, and size of pants which fit them well.

  2. iSize matches them with other users who have input one or more of the same pants (same brand, style, and size fit them well) in order to make recommendations for new pants which will fit them well, and makes those items easy to purchase through the iSize app (i.e., crowdsourcing).

  3. Customers can also scan any barcode while shopping offline at a physical retailer in order to get a personalized size recommendation and “Fit Score” (e.g., 82% fit).



The solution

5. Hi-fidelity Interfaces
6. Outcome

Our product iSize won "The Most Popular Product Design Award" presented by the 2014 summer school of Information Product Design, co-organized by Peking University and the University of Washington.


© 2019 by Yitao Wang

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