Ease
A measurement-first fit engine for athletic builds — compares your body to real garment specs and tells you honestly whether a pair of pants will fit, instead of guessing a size.
Project Gallery
Designer & AI Developer
2 weeks
Overview
Ease finds pants that actually fit the people standard sizing serves worst — broad shoulders, trim waist, big thighs. Instead of guessing a size label, it compares your measurements to real garment specs and gives an honest verdict. I designed and built it.
Challenge
Sizing is broken for athletic builds, and the data that matters most — thigh circumference — is exactly what brands don't publish. The challenge was turning fit from a guessing game into something measurable, then presenting it as data without making it a chore.
Approach
I built a fit engine that scores every size of every garment against your measurements plus an 'ease' tolerance for how you like things to sit — weighted for bottoms, stretch-aware. You calibrate it once against a pair you already own and love, so recommendations tune to that real fit instead of a survey. I wrapped it in a stark, type-driven black-and-white UI that treats data as data.
Outcome
Live, with a working fit engine and reference-garment calibration. The honest 'skip this, it'll strangle your thighs' verdict is the whole point — neutrality is the edge.