Application Design I | Project 3 : Lo-Fi App Design Prototype

2 July 2025 - 16 July 2025 (Week 11 - Week 13)
Chan Xiang Lam | 0358400 
Application Design I | Bachelor of Design (Honours) in Creative Media 
Project 3 | Lo-Fi App Design Prototype

TABLE CONTENT   
    1. Instructions
    2. Project 3 | Lo-Fi App Design Prototype
    3. Reflections


INSTRUCTIONS


PROJECT 3

Project 3 | Lo-Fi App Design Prototype

INSTRUCTION:
After finalizing the UX design,begin developing a low-fidelity prototype of the app. Arrange all screen wireframes, define interactions, and apply basic visual feedback using a prototyping tool such as Figma, Adobe XD, or InVision Studio.

Proceed with usability testing by inviting users to interact with the prototype. Observe their behavior, gather feedback, and identify pain points or confusion during the process.

Document the entire testing session with video, and create a detailed analysis that outlines the findings, issues encountered, and proposed solutions to improve the user experience.

    1. Visual References
To begin the lo-fi prototype process, I collected visual references from Pinterest, focusing on fashion shopping apps. These references helped define the overall layout direction, navigation structure, and styling elements. They served as inspiration before moving into the sketching phase.

Fig.3.1 Visual references collected from Pinterest

    2. Sketches
I created initial sketches of the key app screens. These sketches helped structure the basic wireframe layout and prioritize the core features before starting the digital prototype.

Fig.3.2 Sketches

    3. Design Process
After organizing the layout ideas through sketches, I used Figma to create the low-fidelity wireframes of the MANGO fashion app. This prototype focuses on key functions without any visual styling — just structure and interaction.
  • Onboarding & Account Setup
I designed a three-step onboarding that quickly explains what the app offers. After onboarding, users can either log in or sign up. New users are then guided through a short setup process that collects their fashion style preferences, common dressing occasions. This information powers the AI Stylist suggestions.

Fig.3.3  Onboarding & Account Setup page
  • Home Screen & AI Stylist & Closet 
Once the setup is complete, users arrive at the home screen, which displays a scrollable feed of recommended products.This section highlights the AI Stylist onboarding (explaining its features), followed by the personalized outfit recommendations. The Closet tab provides access to saved looks and previously generated outfits.Each card includes product photos, tags, and the option to save or add to cart.

Fig.3.4 Home Screen & AI Stylist & Closet Pages
  • Search & Filters & Product Detail & Checkout & Cart
The Search page allows users to explore products by keywords or browse curated sections such as "Trending" and "New Arrival." Filter options like category and occasion help users narrow down results quickly.

In the Product List and Product Detail pages, users can view product images, prices, sizes, and available colors. The product page also includes recommendations and a wishlist button for future reference.

The Checkout Process starts once a product is added to the cart. Users are guided through selecting delivery options, entering promo codes, and choosing a payment method such as credit card, wallet, or cash on delivery. A confirmation screen appears after payment, and the cart is updated accordingly.

This flow is designed to be smooth, minimal, and user-friendly — allowing users to shop efficiently from search to payment.

Fig.3.5 Search & Filters & Product Detail & Checkout Pages
  • Category & Wishlist & Profile
The Category page displays product sections such as Women, Men, Kids, and Accessories in a clean, scrollable layout. Users can tap on a category to explore related items or use the search bar at the top for quick access to specific products.

The Wishlist page presents a grid of favorited items, allowing users to easily revisit and purchase saved products. A search function is included to help filter and manage wishlisted content efficiently.

The Profile page acts as a central hub for managing personal preferences and account activity. It includes access to features such as order history, saved outfits, payment methods, app settings, and customer support—giving users full control over their shopping experience.

Fig.3.6 Category & Wishlist & Profile Pages

    4. Completed Low-Fidelity App Design Prototype
Below are the full-screen captures of the finalized low-fidelity prototype flow overview created in Figma.

Fig.3.7  Low-Fi Prototype User Flow Overview


    5. User Testing

User 1 - Kelly
Kelly found browsing generally okay but mentioned that filter and sorting options were not immediately obvious. She suggested making important features more visible and product images larger for better detail viewing. Rated the app 3.5/5, noting the clean layout but small usability issues.
Fig.3.8 User Testing # 1
User 2 - Yik Kah
Yik Kah said browsing was fine but almost missed the filter button because it blended into the interface. Suggested making main action buttons more prominent and increasing price text size for better visibility. Rated the app 3/5, describing the experience as pleasant overall.

Fig.3.9  User Testing # 2

User 3 - Sophia
Sophia experienced smooth browsing but had to scroll back a lot to find previously viewed products. She suggested adding a “recently viewed” section and increasing price text size. Rated the app 4/5, appreciating its clean and simple design.

Fig.3.10  User Testing # 3


FINAL OUTCOME

Video Walkthrough:

Fig.3.11  Video Walkthrough - MANGO 


Figma Link: 

Fig.3.12  Figma File- Low-Fidelity Prototype 

Prototype Link: 

Fig.3.13 Low-Fidelity Prototype 

REFLECTION

Working on the low-fidelity prototype was a turning point where I began to truly understand how structure, layout, and user flow shape the overall user experience. By focusing on functionality over visuals, I was able to translate user needs into meaningful wireframes that addressed core problems in a clear and practical way.

This process helped me improve my design thinking, especially in areas like user journey mapping and flow logic. I also learned the importance of keeping components consistent, which I applied using a simple UI Kit.

Overall, this stage gave me a strong foundation for future high-fidelity design work and reinforced the idea that great design starts with solving the right problems — not just making things look good.




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