Gifter is designed to help users create a list of items they are interested in getting as gifts or track items they are interested in purchasing, by gathering real-time pricing data from major online retailers. It allows users to save products, view comparative prices from multiple retailers, and share their list with friends and family members. The goal is to create a seamless, user-friendly experience that empowers users to share a wish list as well as allowing the purchaser to make informed purchasing decisions while saving money.

Objective:

To design a user-friendly and intuitive app that allows users to create and share gift wish lists with friends and family. The app features price comparisons from major retailers, a streamlined interface, and a friends list functionality.

Problem Statement:

Consumers often face challenges when creating and managing wish lists for special occasions. They may struggle with:

  • Disorganized lists across multiple platforms or retailers.

  • Lack of price transparency across different retailers.

  • Difficulty sharing wish lists with friends and family.

This app solves these pain points by providing a centralized platform for creating, managing, and sharing gift wish lists, with price comparison features to ensure the best value.

Target Audience:

  • Primary: Shoppers looking for a convenient way to create gift wish lists for special occasions (e.g., birthdays, holidays, weddings).

  • Secondary: Gift-givers (friends, family, colleagues) who want to browse wish lists and compare prices from major retailers.

Design Goals:

  • Simplicity: Ensure the app is intuitive, requiring minimal effort to navigate and use.

  • Price Transparency: Enable users to compare prices across various retailers.

  • URL Sharing: Provide an easy and quick way for users to share wish lists with friends and family.

  • Mobile: Focus on creating a seamless mobile experience with clear navigation and responsive design.

  • Personalization: Allow users to customize their wish lists and receive tailored recommendations.

Information architecture:

    • Previews of wish lists and items

    • Preview of mobile compatibility

    • Login/Signup

    • Overview of active wish lists.

    • Ability to quickly create and share lists

    • Users can add items by URL, or manually

    • Option to manually add notes, size information or color information.

    • Large picture previews

    • Additional notes from user (e.g., size, color, notes)

    • Integration with APIs or partnerships with major retailers (e.g., Amazon, Walmart, Target) to show live prices.

    • Users can follow friends, send invitations, and view friends' public wish lists.

    • Account management, notifications, and app preferences.

Low fidelity Design:

Created a simplified, basic representation of the app's structure and layout. This conveyed the app's core functionality, flow, and structure.

Interactive Prototype:

Designed a high-fidelity, interactive prototype that delivers a polished, visually appealing user experience that showcases key features like wish list creation, price comparison, and easy sharing. Through this prototype, stakeholders can interact with the app as if it were a fully functional product, making it easier to validate the design, gather feedback, and prepare for the development phase.

Dynamic Scaling :

Implemented best practices for dynamic scaling to ensure that the app provides a seamless and consistent user experience across all device types, from smartphones to desktops. By using responsive design and adaptable UI components, the app can deliver a smooth and efficient experience to users, regardless of their device or screen size.

Solution:

Successfully designed an app with a simple, user-friendly design while incorporating key features such as price comparisons from major retailers and a friends list functionality. Gifter also allows wish list sharing via URLs.

Future Enhancements:

  • Social Media Sharing Integration: Allow users to share their wish lists via social media accounts.

  • AI-Based Recommendations: Integrate AI to provide personalized gift recommendations based on user preferences and browsing history.

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