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Menu Design UX Project

As a final project for Michigan State University's UX 805 Quantitative Analysis & Insights course, I created two website prototypes with different menu designs and conducted a usability test to determine which menu type enhanced user experience and improved efficiency. The website layout was modeled after Vogue.com's, as their menu structure was unique compared to their top competitors, whom all shared nearly identical menu designs. This sparked my curiosity and made me wonder if Vogue's menu structure or their competitors was more user friendly.

Timeline: 8/2024–12/2024 My role: UX Researcher Team: Independent Project Industry: UX/UI

Project Overview

As stated above, this project aimed to evaluate two different navigation menu designs to assess which enhances user experience and improves efficiency on a website modeled after Vogue.com. The two designs are:

Vogue and competitor website menus
Vogue and competitor website menus

Methodology

Key Findings

Insights

Recommendations

Re-design based on user feedback. A dropdown menu that appears on hovering over the main categories.
Designed to fit in with Vogue's current visual system, modeled after the look of the Weddings category submenu.

Suggested re-design

Tools & Skills

I used a variety of tools and methods to complete this project:

Data Analysis

Excel (for quantifying usability test results)

Miro (affinity diagram)

User Experience

Usability testing

Post-study Questionnaire

Zoom (usability test & presenting)

Prototype Design

Figma

Conclusion & Reflections

This project was a valuable learning experience in quantitative analysis within UX research. I gained a deeper understanding of how to effectively collect and analyze numerical data, such as task completion and error rates, to assess user experience. Interpreting these metrics allowed me to draw meaningful insights about user behavior and the efficiency of different menu structures. I learned how to translate raw data into actionable recommendations for design improvements, emphasizing the importance of objective, data-driven decision-making in UX. This experience has sharpened my ability to use quantitative methods to inform design choices and improve user interfaces based on measurable user performance and satisfaction.