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.
This was a UX/UI capstone project completed during a part-time UX bootcamp over 8 months, covering the full process from research through a clickable Figma prototype.
02. Problem
Online fashion shoppers frequently struggle with inconsistent sizing across brands, which leads to hesitation and high return rates. This project focused specifically on women's ready-to-wear clothing, where sizing inconsistency is most pronounced. 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
Rather than trying to solve sizing across all of fashion, I focused on the moment where hesitation is highest: right before checkout.
The solution combines a short measurement and style-preference input with a personalized size recommendation. Users can also try on a customizable avatar to see how the item might fit. Both are shown on the product page, since that's where fit doubt is highest, so shoppers can get the confidence they need without leaving the page.
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 the following, accepting a less flashy demo in exchange for a sharper, more testable core flow:
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
I tested the prototype with 5 participants, observing what they clicked and how they reacted at each step.
What I found:
Most participants skipped the measurement step. The Body Measurements button was small and mixed in with general shopping features, and a competing "Fashion Quiz" option made the path unclear.
Several participants were unsure if they could save their favorites, since there was no clear confirmation.
What I changed:
Separated fit into its own guided onboarding flow, removing the quiz option and pointing users directly to Body Measurements.
Added a confirmation animation when items were saved or added to cart, so users get clear feedback that the action worked.
08. Outcome & Impact
The final prototype gives users one clear path into size recommendations instead of competing options, and adds confirmation feedback on saved items and cart actions, addressing both issues found in testing.
After the redesign, I ran a second round of testing: 80% of participants completed the measurement step, compared to most skipping it before, and all participants noticed the confirmation when an item was added to cart.
09. Reflection
FITME taught me the importance of designing based on user needs rather than assumptions. Through research, usability testing, and multiple iterations, I learned how small design changes can greatly improve the user experience. After I fixed the flow, 80% of testers completed the measurement step, up from most skipping it before. This project strengthened my skills in user research, wireframing, prototyping, and iterative design, and reinforced that great UX comes from continuously learning, testing, and refining.