Key Furnishing

Make your home Elegant with
Upholstery Products

Make your home Elegant with
Upholstery Products

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keyfurnishing-vector

Key Furnishing is an e-commerce app that enables users to shop for a wide range of home decor products, including upholstery furniture, curtains, and raw upholstery materials. The app is designed to provide a seamless and enjoyable shopping experience for users looking to elevate their home aesthetics with quality furnishings.

How it Works

  • Sign Up and Create an Account

    Users can quickly sign up to start exploring a curated selection of home decor items tailored to suit different tastes and preferences.

  • Browse Product Categories

    Users can easily browse through categories such as furniture, curtains, and raw materials, enabling them to find the perfect items for their home.

  • Add to Cart and Checkout

    After selecting items, users can add them to the cart and proceed to a secure checkout process for a seamless transaction experience.

  • Track Order and Delivery

    Users can track their orders directly within the app, providing transparency and peace of mind as they await their new furnishings.

tutoraazi-how-it-works

Research and Discovery

Research Process 🧐

Our research included user interviews and competitor analysis to understand the needs and preferences of home decor shoppers. The insights gathered informed our design choices to create an easy-to-navigate and aesthetically pleasing shopping experience.

  • User Journey: Users prioritize easy browsing and wishlisting of dΓ©cor items.
  • Visual Inspiration: Shoppers were highly motivated by the ability to visualize products in their spaces.
  • Product Filters: The need for specific filters (e.g., fabric type, color, pattern) was crucial for a seamless experience.
Competitor Analysis 🧐

We analyzed popular platforms like Wayfair and Pepperfry to identify strengths and limitations, particularly around product categorization, visualization tools, and personalized recommendations.

  • Difficulty in Visualizing Products: Users want a better way to see products in their actual rooms.
  • Complex Navigation: Finding specific product types, such as raw upholstery materials, was often cumbersome.
  • Limited Personalization: Generic recommendations lacked relevance, making it harder for users to discover ideal products.

User Personas

user persona

Mia

A high school student in IB curriculum

🎯 Goal

Find tutors quickly, book sessions, and track upcoming lessons.

πŸ˜– Frustrations

Difficulty filtering for IB-specific tutors.
user persona

Mia

A high school student in IB curriculum

🎯 Goal

Find tutors quickly, book sessions, and track upcoming lessons.

πŸ˜– Frustrations

Difficulty filtering for IB-specific tutors.
user persona

Mia

A high school student in IB curriculum

🎯 Goal

Find tutors quickly, book sessions, and track upcoming lessons.

πŸ˜– Frustrations

Difficulty filtering for IB-specific tutors.

Ideation

Wireframes 🧐

We created low-fidelity wireframes to map out essential user journeys. Our focus was on a clear structure that simplified the experience for all users.

ideation wirefram

Information Architecture 🧐

We created low-fidelity wireframes to map out essential user journeys. Our focus was on a clear structure that simplified the experience for all users.

ideation arch

Visual Design

Spacing and Margins 🧐

We created low-fidelity wireframes to map out essential user journeys. Our focus was on a clear structure that simplified the experience for all users.

visual Design
visual Design

High Fidelity Screens 🧐

We created low-fidelity wireframes to map out essential user journeys. Our focus was on a clear structure that simplified the experience for all users.

visual Design

Reflection and Key Learnings

Challenges 🧐

Balancing three user groups with unique needs in a single app was a rewarding design challenge.

Learnings 🧐

This project emphasized the importance of adaptability and prioritizing usability testing, especially for applications catering to diverse user demographics.

Future Improvements 🧐

Enhanced AI-based tutor recommendations and expanded analytics on student progress are potential next steps.