The focus of this project was to enhance the artwork search experience for users on the MOMA Learn & Explore platform. The goal was to design an intuitive, filter-rich search page that allows users to easily discover and explore MOMA’s extensive collection of artworks based on various criteria such as artist, period, style, and more.
Project Overview
- Project Duration: 7 weeks (02 Nov 2023 – 21 Dec 2023)
- Team: Solo project
- Tools Used:Figma
*Note: This was a conceptual project and is unaffiliated with Moma museum.
EMPATHIZE
Goal: Understand the user’s needs, frustrations, and the context of how they interact with MOMA’s digital collection.
DEFINE
Goal: Clearly articulate the problem based on insights gathered from the empathize phase.
IDEATE
Goal: Generate ideas for solving the defined problem.
DESIGN
Goal: Create prototypes and refine the design based on feedback.
Understanding the user’s needs
The challenge was to create an efficient and immersive search experience for users, allowing them to explore MOMA’s vast collection with ease. Additionally, users needed a way to explore related artworks, making the search experience richer and more engaging.
Key Issues:
- The need for comprehensive search filters.
- Designing a detailed artwork page that provides valuable insights and connections between similar artworks.
- Creating interactive graphs to visualize relationships between artworks.
Low-fidelity wireframes
During the design phase, I created wireframes to outline the structure and functionality of the search page and the detailed artwork page.
Low-fidelity wireframes have helped me identify in more detail each step/screen and action. The focus was on ensuring users could easily find and explore MOMA’s vast collection of artworks through an intuitive search process and interactive features.
High-fidelity key-screens
