Solving daily problem of picking your outfit

MAY FRANK

Demography: 18yrs, F, lives in New York, student

Behaviors —Indecisive, Open minded, curious. Always scrolling instagram for inspirations, likes to spend a lot of time to scroll through new content everyday, take friend suggestions about her outfits and her buying choices, wardrobe full of diverse styles

Needs & Goals — Need help to make her selections/decisions, want to quickly connect with friends to know their tastes, want to try first before buying

Job Story 3

When I am exploring new outfits, I want to save, organize and try them later so that I am satisfied with my choices before I buy.

Storyboard

Conceptual Model

From Job Story 1&3, it seems there needs to be a direct connection between social networks (like Instagram) and StyleMeUp to connect with friends, get inspired by influencers and showcase their creativity among friends/ followers. From Job Story 2, it is evident to have quick recommendations (agentive tech) based on user style and choices. 

Develop

Business Model Canvas

Information Architecture

Form — Word cloud

Form — Moodboard

Wireframes

Develop

Features and functionalities

Information recording — 

• Selfies (via camera)
• Manually taking pictures of clothes and adding them to collections
• Bundle of pictures put together into “Closet”
• Instagram — Automatic selection of apparels via tags
• Camera Roll — Machine learning to detect me with half/full photo of me.
• Add tags manually, ML based recognition

AI learning for personalization (to understand my taste/choices)

• Insta hashtags / Insta pics / My insta pics / Number of likes of your insta pic
• Favourites
• Automatic recognition of preferred choices. So that they appear often.
• Closet (My saved items)
• Improved recommendations based on feedback from Branded polls
• Feeling lucky (out of the box recommendation)

Filters with Search

• Feelings — Bold, Sexy, Cute, Happy, Excited etc
• Style — Modern, Hippie, Bold, Funky, Sissy, Indian, Italian, American, Chinese etc
• Type — Dress, gown, bikini etc
• Occasion/Activity — Routine, School, College, Office, Night Party, Prayer, Dance, Hiking, Gym, School, pool, beach
• Color — Pink, Black, Brown, White, etc.
• Based on number of likes of your insta pic
• Knows what you wore previously so keeps on bringing new things
• But also keeps the record if you prefer a few clothes more than others. So, they appear often.

Final Screens

Onboarding

Accesses camera —  “One selfie a day” that helps collecting data for personalized suggestions. Moreover, making user feel more confident and bold about their outfit choices at the start of their day

Explore

1. View top 3 recommended outfits for the day
2. What friends are wearing that day
3. Co-creation with brands: Help brands suggest what is best for you using branded polls
4. Plan ahead the outfits you may want to carry for the weekend trip

Co-Creation

GenZ and Millennials have bold opinions and trust those brands which listens to them. Building this co-creation model lets users not only consume the information but interact with it as well that makes them feel accomplished.

Audio & textual search

NLP based audio and textual search provides an assistive technology support, which filters content based on occasion, age, style, weather, likes on instagram etc.

Save, organize and Decide

In product page, user can view the uploaded photo/video along with machine generated one liner textual description (can be added/edited manually as well). Similar and complimentary products can be viewed that comes from Closet (Saved), Instagram account and branded content.

Shop

1. View complimentary, similar and recommended products 
2. Try before buy: Try these outfits on your avatar before buying
3. Favorite or Save them in your Closet

My Avatar

1. Create your custom avatar
2. Change outfits and background to see how you might look like in the similar environment
3. Try all branded apparels on your avatar
4. Find complimentary product suggestions. For e.g. if you have a top and not the jeans and shoes that your avatar is wearing, you can buy the whole look at a discount.

Prototype link

Sohaj is studying Interaction Design from California College of the Arts, San Francisco. Previously, he was working as Interaction Designer at Monotype

Find him on LinkedIn and his website