Project was done based on the requirements for the Microsoft Imagine Cup - Design Challenge 2016. The participant team was required to design an innovative concept Windows Phone App and include the below mentioned deliverables. Deliverables Included: A hero scenario user flow diagram, IA diagram, Two low-fidelity wireframes, One high-fidelity visual target image.
CATEGORY: MS BIG IDEA DESIGN - INNOVATION (Team qualified for the semi-finals)
THE TEAM: 3 - Jay Liu, Josephine Lau, Sambit Pattnaik (Me)
OUR IDEA: "Happy Closet" is a mobile application (Windows Phone App) that saves users time and energy by suggesting an outfit for them every morning.
- The app is targeted towards people who wish to appear well-groomed, and thus not repeat outfits within a selected timeframe.
- Every day, it suggests an “outfit of the day” (OOTD) based on the user’s current mood, itinerary, and that day’s weather forecast.
Outfits are suggested based on items’ metadata such as clothing type, style, occasion, color, and etc. Users can also view, bookmark, and buy suggested similar clothing items from their favorite stores on the app.
- We assume that most clothing retailers provide the necessary metadata.
- The app uses Microsoft’s new Emotion Recognition algorithm to detect user’s emotional state based on the selfie, and then results will be factored as part of its OOTD suggestion algorithm.
Survey had : 30 Responses & following insights were obtained from it.
Competitive Analysis revealed that there is a similar closet management app in the market called : CLOTH.
The following features & limitations were identified:
Add to favorites
Wear it today
Location (not quality controlled)
Category (not used very often, most ppl just say ‘365 everyday’)
Tags (very loose and not controlled)
SCENARIO & PERSONA
Jennifer has a huge closet, wants to find outfits easily in the mornings and not wear the same outfit within a 3 week period, open for new clothes that’s similar to her style and would make her feel more confident and cheerful to walk in gloomy weather in Seattle Winter. Elaine opens the app, takes a selfie, which gauges her mood. She then sees her OOTD suggestion, and browses other tops, where she changes the top. She sees some other tops in the Recommendations tab and adds it to her wish list.
HERO SCENARIO USER FLOW FOR JENNIFER
HOW THE APP WORKS
- To initiate the app, user can either take a selfie or go straight to OOTD (Outfit of the Day ) page, or can browse her closet.
- App extracts data from scanning QR codes from tags that come with clothing items.
- Most clothing retailers provide this metadata, or user can manually enter or edit metadata to their needs.
- If user does chooses to take a selfie, the app uses Microsoft Project Oxford’s emotion detection function to display user’s emotional state, and factor the results as part of its OOTD suggestion algorithm.
- Otherwise, user will be taken directly to the OOTD page.
- Once a user is at the OOTD page, she can swipe left or right to pick an outfit that is suggested based on the occasion on the calendar, weather, and his or her mood.
- After completing her selection of clothing, she will clicks “I’m ready” and is taken to confirmation page.
The user then can edit outfit selections or buy outfits that suggested by the app.
HIGH FIDELITY MOCKUPS