Group 63335.png
Zahra Thomas
Atlanta, Georgia

Finding the perfect fitting jeans is like striking gold


Rectangle 3.png
Mask Group (4).png (75).webp
Group 65110.png

The Idea

Who can forget the iconic scene from the film "Clueless," when Cher became the envy of every fashionista when she used her computer to generate perfectly-matching outfits each day? Well, fast forward 25 years and MultiFitz has promised you just that. 

MultiFitz is a personal stylist in the palm of your hand. This application allows users to build a personal wardrobe, based on the style they are looking for. Users answer a few questions and BOOM! MultiFitz auto-generates a ‘Fit’ based on everything that makes you, you.

Group 65094.png

The Process

Group 65138.png

7 days

Ideate to solidity


Group 65137.png

7 days

Product / Market


Group 65136.png

20 days



Group 65135.png

15 days

Prototype &
Beta Test


Raising Capital

$1.3 Million

Completed in

49 days

Group 65135.png

Meet The Team And Tools Used

The Team
IMG_2832_edited (1).jpg
Product Designer
Product Developer
Tools Used
Rectangle 63 (1).png
Adobe XD
Design and protoype
Rectangle 66.png
Develop App
Rectangle 65.png
Project Management
Group 65174.png
Zoom whiteboard
Whiteboard session
Group 65176.png
Google drive
Manage files
Group 65175.png
Direct Emailing 
Tech Stack
Rectangle 68.png
Rectangle 67.png
Rectangle 69.png
Rectangle 70.png
Group 65177.png
Woman Browsing in Clothing Store
Group 65120.png

The Problem

Social-Distance Date? Masked Coffee with Girlfriends? Unfortunately, the days of running into the mall on a moment's notice are slowly dwindling. Covid-19 has made shopping and sharing clothes with friends a risky endeavor. With MultiFitz, users can experience a broad range of styles from the comfort of their home - convenience: check. 

Now let’s talk about the thousands of shoppers out there that have a hard time finding the right outfit for the occasion, sprinkle the complications of finding your size and BOOM! Multifitz does it again. We find our users the exact sizes. All the options they see are tailored based on their size and occasion. 


The Solution

Enter MultiFitz. An iOS app providing exact fits and an all-inclusive, affordable place to give your wardrobe the face lift that it deserves.

  1. Your personal stylist, find anything you need based on your occasion.

  2. MultiFitz suggests outfits based on your mood, style, price range and size. 

  3. Effortless clothing matched and designed to fit you with customizable and flexible options. 

  4. An easy to use app, ideal for fashionistas.

A/B Testing

We brainstormed on a couple different UI/UX options for the main shop screen. We then A/B tested the different screens to determine which provided a better shopping experience while also measuring which created a high add to wardrobe rate.  

Home - Dresses – 1.png
2-Home - Version 2 – 1.png

Showed match percentage to encourage users to complete their profile

Dresses had their own screen to present a full look 

Increased the options to show 3 different rows so our users can put together an outfit. Tops, bottoms,  shoes

Number of items added to wardrobe and add to wardrobe

Option 2: Swipe right to add to wardrobe, swipe left to skip the item

Image 23 b.png
Image 24 a.png

Single item per picture focused around a specific category (tops, bottoms, shoes, etc)

Low Fidelity
Home - Dresses – 2.png
High Fidelity
Home - Dresses – 1.png

Who is our early adopter?

Women between the age of 25-30 that don’t have enough time to go shopping but want to attend events, birthdays or casual dates looking and feeling great about what they’re wearing. 

Where is our target market?

  • Single women of color across the US

  • Working class with a median income of $70k-$85k

  • Shop online for clothings 

  • Own a Netflix and Amazon Prime subscription 

Screen Shot 2022-05-06 at 3.25 1.png

The Market

  • In 2019, women contributed an estimated $26.0 billion to the gross domestic product (GDP) of the United States.

  • Women of color supplied a significant amount of labor daily to the GDP of the United States:

    • Black women: $3.8 billion.

    • Asian women: $1.7 billion.

    • Latinas: $4.2 billion. 

Group 65105.png

Competitive analysis

As part of the competitive analysis, we dissect the competition's product analyzing their UI/UX, tech stack, and more. This allows us to capitalize on what the competition has done really well and where they can improve. In many cases, leading competitors have invested millions into R&D which is to our advantage, if we can understand it. Here are some of findings while analyzing Poshmark and StitchFix. 

Featured List


  1. Product search

  2. Shop

  3. Sell

  4. News

  5. Social to follow people

  6. Newsfeed

  7. Ecommerce

Stitch Fix

  1. Product search

  2. Shop

  3. Sell

  4. News

  5. Social to follow people

  6. Newsfeed

  7. Ecommerce

Business Model


  1. New and Used Items

  2. Transaction fee

  3. Brand deals

  4. Revenue sharing

Stitch Fix

  1. Free shipping 

  2. Subscription fee

  3. Commission: vendors

  4. $20 styling fee

Acquisition strategy


  1. Targeting Women

  2. 16M monthly visitors

  3. 62% organic

  4. 38% paid

  5. 159 ads found

  • Youtube

  • Pintrest

  • Facebook

Stitch Fix

  1. Targeting Women

  2. 3.1M visitors per mo

  3. 63% Organic

  4. 37% Paid

  5. 996.9k backlinks

  6. 312 paid traffic

  • Facebook

  • Linkedin

  • Youtube

Group 65164.png

User Specific Features


Tell Multi-fitz the event you’re attending, the weather, your mood, sizes, budget, color and brand category. From there, our algorithm will generate outfits for you to select and purchase with a single tap of a button. (22).webp


List and manage inventory all in one place. Integrated across all your inventory management systems. Import all inventory details at once using our import feature. Manage orders, customers and sales from a user friendly dashboard. (23).webp
Group 65163.png

What's the flow (25).webp
Group 65161.png

MosCoW Prioritization

MoSCoW method or MoSCoW analysis, is a popular prioritization technique for managing requirements. The acronym MoSCoW represents four categories of initiatives: must-have, should-have, could-have, and won't-have, or will not have right now.

Must Have

User Account Registration

Customer + Vendor Profile

Filter Option

Resources Page

Automated Clothing Selection

AI generated Results

Should Have

Push Notification

Direct Messaging

Inventory Management For Merchant

Ecommerce Functionality

Market Libraries

Could Have

Edit Profile Capabilities

Upload Media in Chats

User verification Via email

Device verification via phone number

Ability to quickly forward clothing pieces via text/ email/ social media to friend/ family


Won't Have

Premium Account

Live Customer Support

Amazon integration for item options

Ebay integration for item options

Group 65162.png

Design Guide



Group 65706.png


Group 65005.png


Group 65705.png

Icon Pack

Group 65714.png (75).webp

Ready to
build an app?