Flyrank AI internship

Vextaro

Vextaro is a men's luxury formalwear rental app. The core problem wasn't demand — it was trust: renters can't try the garment on before it ships, so uncertainty about fit was the single biggest thing standing between browsing and booking.

Role: UX/UI Design Intern
Team: Flyrank AI
Status: Active internship
Tools: Figma, Figma Variables

Fit anxiety, not selection

I ran competitive audits across 10+ competitor and industry sources for men's luxury formalwear rental, paired with targeted user interviews. Fit-uncertainty complaints came up repeatedly — renters wanted a second opinion before committing, not more product options. A finished outfit is a coordinated system (jacket, trousers, shirt, tie, shoes, and accessories, each with different sizing rules), so Vextaro treats that connected fit problem as the product opportunity instead of making shoppers solve each item alone.

From complaint to checkpoint

We learned Competitive audits and interviews both pointed to the same gap: no competitor offered a human-backed fit check before checkout, and that absence was a recurring, named frustration — not a guess.

So I changed I designed a specialist fit-confirmation checkpoint directly into the booking flow, and mapped it into a 7-section information architecture with three annotated user flows (primary task, onboarding, and a recovery/unhappy path with escalation) so the checkpoint had a clear place to live rather than being bolted on.

Evaluated via Flow walkthroughs against the IA to confirm the checkpoint was reachable from both the primary booking path and the recovery path, with no dead ends.

A system built to scale

In parallel, I built a complete Figma token-based design system — variables, a 4-color semantic palette, and a typographic scale — and linked every style to a shared token rather than a one-off value, including the multi-state UI patterns (dropdown menus, bottom-sheet overlays, tabbed selectors, collapsible navigation) the flows actually needed, with interaction behavior documented for engineering handoff.

~60%

less visual rework after tokens shipped

~90%

faster global UI updates

IA sections, 3 annotated user flows

What's next

Vextaro is an active internship project. Low-fidelity wireframes for onboarding and the core screens are the current phase, building on the IA and token system above before moving to hi-fi.