Fashionable
Provides daily clothing ideas based on actual conditions such as
weather, styles, trends, and user preferences
iOS Lifestyle App
Fashionable is a mobile app that provides daily clothing ideas based on actual conditions
such as weather, styles, trends, and user preferences.
The Problem
While getting ready in the morning, people look to combine clothes to get fresh different looks with their actual wardrobe, sometimes with no luck and ending up wearing the same clothes over and over.
The majority of people struggle with color and texture combination ideas.
User Research
We interviewed potential users to discover their daily struggles, behaviors in the morning or upcoming events, and needs. In order to learn more about the users, we conducted two methods of research:
Interviews: 6 People
Online Survey: 32 Respondents
RESEARCH AIM
Do they plan their outfits in advance?
How often they consume trends?
Do they organize their closet in a specific way?
What are their limitations and concerns with respect to clothes?
KEY FINDINGS
Do not want to spend time figuring out what to wear.
Want recommendations to taking into account their activities and what they already own.
63% use their phone since they wake up.
47% use their phone to buy clothes online.
Only 7% plan their outfits in advance.
Personas
Clothing color and materials criteria
I separated two groups of colors that help create multiple combinations of matching colors while keeping in mind the value of color phycology that will be applied as a characteristic of each garment for a database.
The material is a key part of how we prefer to combine
garments and choose based on the weather and mood.
Mood Board
The fashion industry involves seasonal trends, colors, and textures. It brings freshness and all-time classics. I came up with a mood board that reflects changes and timeless elements. It helped articulate the overall visual interface of the app.
UX Principles
Simple
Stylish
Fresh
Data Model
This data model represents the information logically kept by cards that contain specific item characteristics.
Rules act as a filter to provide one result over time and some others in line.
Main User Workflows
Fashionable uses actual conditions such
as weather and user input to provide an outfit.
Splash Screen
The custom animation is displayed while the algorithm select outfits.
