FITME

Personalized sizing & virtual try-on

Role: UX/UI Designer / End-to-End Concept Design

Tools: Figma / Miro / Google forms

01. Overview

FITME is a fashion sizing and virtual try-on app concept that helps shoppers choose the right size with more confidence. I designed a guided fit-decision flow that turns measurements and preferences into clear size recommendations. The focus was reducing hesitation at the purchase moment through decision-support UX.

02. Problem

Online fashion shoppers frequently struggle with inconsistent sizing across brands, which leads to hesitation and high return rates. Size charts are often hard to interpret, and users lack confidence that items will fit correctly before ordering.

The core design challenge was to reduce fit uncertainty and help users make faster, more confident purchase decisions without adding friction to the shopping flow.

03. Solution

Design a sizing and virtual try-on experience that helps shoppers feel more confident about fit, makes it easier to choose the right size across brands, and supports faster purchase decisions. The flow should feel like a natural part of the shopping journey while keeping steps simple to reduce cognitive load.

04. Key Decisions

Prioritized measurement + style preference input to generate personalized size recommendations.

  • Designed a guided body measurement flow to reduce input friction.

  • Integrated a customizable avatar for realistic virtual try-on.

  • Focused on fit confidence at the product page to support purchase decisions.


05. Strategic Tradeoffs

To maintain focus on size confidence and purchase clarity, I intentionally deprioritized:

  • Advanced body scanning technology in favor of manual measurement input.

  • Full 3D garment simulation to keep the try-on experience lightweight.

  • AI styling feeds or social shopping features to avoid distracting from fit decisions.


06. Information & Flow Strategy

Instead of redesigning the entire shopping journey, I focused on the critical fit-decision moments where size uncertainty impacts purchase confidence.

  • Measurement & fashion preference input

  • Size recommendation result

  • Product detail sizing context

  • Virtual try-on preview

  • Add-to-cart decision


07. Iteration Based on Testing

Usability testing showed that users:

  • hesitated during measurement input

  • skipped parts of the measurement flow

  • wanted clearer confirmation after key actions

Design refinements included:

  • simplifying measurement instructions

  • reducing required input fields

  • adding visual feedback during try-on steps

08. Outcome & Impact

The prototype integrates size guidance into the shopping flow, helping users reach size decisions faster and with more clarity. Measurement-based recommendations and try-on previews are designed to reduce fit uncertainty at purchase time.

09. Reflection

Designing FITME allowed me to address real user frustrations around sizing and create a more personalized, confident shopping experience. This project strengthened my skills in user-centered design, and I look forward to refining the experience through broader testing and continued focus on accessibility.

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