Outfit app UX case study: Dress Me Up
Dress Me Up began as a 16-week project during our founder’s business degree: a fashion app that suggests outfits to fit your style and lets you chat directly with tailors to adjust them. The team researched with real shoppers and tailors, then built a prototype that made a simulated AI feel personal. It never launched.
- Client
- Dress Me Up
- Category
- UX/UI & Product Design
- Timeframe
- 2020
- Role
- UX/UI design and research (16-week university project)
The situation
Shopping for clothes online means endless scrolling, decision fatigue and settling for “good enough.” Broad filters and “if you like X” suggestions weren’t cutting it, and nobody offered tailored advice plus an easy route to custom fittings.
There were 16 weeks, no real AI backend, and two very different users to design for: shoppers who want inspiration, and tailors who want clear custom orders.
What we built
- 01A 60-second style quizVisuals and sliders so people could show their taste in under a minute.
- 02A look board demoA rule-based demo showing how the app could narrow hundreds of items into a short, curated selection.
- 03In-app designer chatAsk for a different lining, share measurements and see mock-up previews, without email back-and-forth.
What happened
Research came first: 100 survey responses from adults who shop for fashion online, 8 interviews with independent tailors and designers, and an audit of 5 competing apps.
78% of respondents said they’d pay extra for suggestions that felt made for them. Every tailor wanted a simple intake form and a chat window. Shoppers gave up after three clicks if nothing spoke to them. The prototype was designed around those three findings.
Real research plus a lean prototype shows you the hard problems before anyone writes production code. It also proved a good story can make a fake AI feel surprisingly real.
What we’d tell you
