NDA REDACTED VIEW

Visuals speak louder than text.

Redesigning the onboarding flow for fAIshion's virtual try-on tool to be universal, accessible, and friction-free.

Sarah Saavedra

UX/UI Design Intern

CONTEXT

Role

UX/UI Designer

Industry

Fashion & Technology

Duration

3 months

THE PROBLEM

Asking for marriage on the first date.

Early friction before value was shown caused users to drop off before completing their first try-on.

Photo Upload Confusion

Unclear Value

No Clear First Step

Too Much, Too Soon

Key Constraint

Onboarding had to work without words.

This meant every step had to communicate what happens next and why it’s safe to continue — through visuals, motion, and affordances.

Current Experience Problem

Where users struggled early?

Meet a First-Time User

This user:

Is new to AI-powered fashion tools
Lives outside the U.S.
Speaks a different primary language
Wants to quickly understand what the product does

They expect something simple, visual, and intuitive — without instructions.

This user:

Is new to AI-powered fashion tools
Lives outside the U.S.
Speaks a different primary language
Wants to quickly understand what the product does

They expect something simple, visual, and intuitive — without instructions.

A First-Time User’s Journey (Before Improvements)

Based on uninstall feedback and first-session behavior…

Enters the Experience

The user opens the product for the first time with little context about what virtual try-on does or how it works.

First Impression · No Prior Knowledge

Looks for Direction

Decides Whether to Continue

Enters the Experience

The user opens the product for the first time with little context about what virtual try-on does or how it works.

First Impression · No Prior Knowledge

Looks for Direction

Decides Whether to Continue

Signals from User Feedback

Interest was high — confidence wasn’t.

Without clear visual direction, first-time users had to figure out the experience on their own.

What Stayed on the Wall

Repeated reminders that guided every onboarding decision.

Show Value Before Effort

users need to see themselves in the outcome before committing effort.

Guide Visually, Not Verbally

the first action must feel obvious, low-risk, and reversible.

Make the 1st step obvious

entry point MUST be clear and safe to try

Build Confidence Early

users continue or drop off

Show Value Before Effort

users need to see themselves in the outcome before committing effort.

Guide Visually, Not Verbally

the first action must feel obvious, low-risk, and reversible.

Make the 1st step obvious

entry point MUST be clear and safe to try

Build Confidence Early

users continue or drop off

How I started

How I started

Product Walkthrough

Manually tested the Chrome extension and mobile experience to map out natural user behavior, friction points, and unclear steps.

Where I looked for patterns

Competitive Analysis

Analyzed how other AI, shopping, and browser tools guide new users (Google Shopping AI, Amazon Try-On, Honey, Klarna, etc.

What I discovered

Uninstallation Feedback Reviews

Identified recurring confusion themes: unclear steps, low feature understanding, uncertainty about where to click, and how try-ons worked.

Who i collaborated with

Team Interviews

Identified recurring confusion themes: unclear steps, low feature understanding, uncertainty about where to click, and how try-ons worked.

Friction

Less to think about

Confidence Boost

Clear path forward

Early Drop Off

Fewer Early Exists

Retrospective (aka what actually happened)

Retrospective (aka what actually happened)

What worked

Once I stopped trying to explain the product and focused on helping users feel confident, everything clicked.
Showing value before asking for effort turned out to be way more powerful than any tooltip ever could be.

Also: uninstall feedback is HUMBLING but extremely useful. Turns out users weren’t confused by AI — they were confused about what to do first. Fair.

What I learned

I learned that users don’t need more explanations — they need reassurance.
They don’t want a tutorial on AI, they just want to see it work.

Trying to explain everything slowed people down.
Showing value first moved them forward.

The biggest shift was realizing that the first 30 seconds matter more than the rest of the flow combined.
If users feel confident early, they’re willing to figure out the rest on their own.