fAIshion.AI

Most users dropped off before completing their first virtual try-on.

Turning the chaotic in-store hunt for markdowns into a playful treasure hunt where every discount feels discovered, not scavenged.

Mobile & Desktop

Research -> Handoff

NDA Redacted

Live on Chrome Web Store

ROLE

Product Designer

Platform

Mobile & Desktop

SCOPE

Research -> Handoff

Context

A Chrome extension letting shoppers virtually try on clothes from any brand upload one photo, drag any item, see it on your body. It worked. The problem was getting anyone past minute one.

01 — Where it broke
Before

Outdated and Overwhelming

Password-only auth, no onboarding, users landed with zero context

Installed. Never Used.

Users installed it, but didn’t pin it

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Upload = Friction

Turns out “just upload a photo” isn’t that simple.

Method
The uninstall survey had been sitting unread.

Instead of recruiting new users, I analyzed existing uninstall survey data that had never been systematically reviewed.

1

Export uninstall survey responses, filter out blank submissions

2

Clustered feedback into key themes.

3

Mapped themes to onboarding steps.

4

Audited Honey, Grammarly, Monday.com, and Loom onboarding flows.

What users said on their way out

Total: 100 responses
Usability32
Discoverability26
First-use failure20
Slow performance12
Privacy concern7
Found alternative3
Key Insight

The best extension onboarding doesn't tell users what to do.
It shows them a live simulation of it happening.

After auditing top-performing products for the exact moments fAIshion lost users, one pattern emerged: motion beats static every time. I learned Jitter animations specifically to match the standard set by Honey and Grammarly.

01
ENTRY

First Impressions Matter

First Impressions Matter

Users decide in seconds. This screen makes the value clear and the next step obvious no exploration required.

DESIGN DECISION
I owned UX and visual direction. Three layouts explored before landing on this one. Value prop above the fold, two CTAs splitting new from returning users cleanly. Screens under NDA but every decision was mine.
02
AUTHENTICATION

Login + OTP

Simplified login with social auth options. OTP always shows where the code was sent and if something goes wrong, an error state with attempt count tells the user exactly what to do next

OTP Verification

Enter the code sent to you@email.com

DESIGN DECISION
The original flow showed nothing after submitting an email. Added the destination address before the input, an error state with attempt count, and a resend confirmation. Three things that didn't exist each one a specific abandonment trigger removed.
03
ONBOARDING · MOBILE ONLY

Start with your favorites

Mobile users pick favorite brands to power the recommendation engine. This replaces the extension step mobile has no browser toolbar so the experience is built around personal taste instead

DESIGN DECISION
Desktop users pin the extension. Mobile users can't so I replaced that step entirely with brand selection to power the recommendation engine. Same goal, completely different solution built for the context.
04
ONBOARDING · DESKTOP ONLY

Pin the Chrome Extension

Animated Jitter tutorial showing exactly how to pin the extension. Motion, not a static screenshot the same standard used by Honey and Grammarly.

DESIGN DECISION
After studying how Honey and Grammarly both use animated tutorials for this exact moment, I learned Jitter specifically to match that standard. A static image of a browser toolbar teaches nobody anything
05
ONBOARDING · BOTH

Photo Upload

A real video showing exactly how to take the perfect photo not illustrations, not a do/don't grid. Watching a real person do it removes all guesswork.

DESIGN DECISION
Most apps use illustrated examples. I filmed a real person handing their phone to a friend and taking the photo full body, good light, fitted clothes. Watching a real person do it removes all guesswork.

Sarah Saavedra

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San Diego, USA: ,

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