AVoid.

AVoid. is an AI-powered browser extension that helps users break down complex project prompts into a tailored, structured plan with actionable tasks.


With AVoid.’s built-in tools, users can easily stay on track and efficiently complete their projects.

Project Overview

Academic Project

Role

Lead UX Designer

Tools

Figma

Adobe Illustrator

Adobe After Effects

Adobe Premiere Pro

Adobe Photoshop

Google Sheets

Miro

Timeline

Aug 2024 -Dec 2024

Project Overview

My Contribution

Design System

High Fidelity Prototype

Design Iteration

Our team conducted multiple rounds of design iteration to refine our high-fidelity prototype. We carefully selected a color palette that reflects the space travel theme, ensuring user engagement without causing distractions. Additionally, we optimized the placement of the menu bar to enhance intuitive navigation and establish a more balanced information hierarchy within the extension’s side panel.

Storyboards

I was responsible for creating three storyboards to illustrate our team's distinct design ideas. These storyboards helped our team visualize the potential user flow, demonstrate how our solutions address user pain points, and identify potential usability issues early in the design process.

Key Features

We identified the following key features that need to be incorporated into our final design.

Information Architecture

Based on the user flow, our team developed the information architecture, using it as a blueprint for creating our low- and high-fidelity prototypes.

Hover to zoom in

Low Fidelity Prototype

Based on the user flow and information architecture, our team developed a low-fidelity prototype of the browser extension through multiple iterations.

Research Process Overview

Stakeholder Map

Survey Data Visualizations

Our team created data visualizations based on survey results to better understand the symptoms ADHD college students experience. These insights guided our ideation and design process, ensuring our solutions effectively address their needs.

Comparative Analysis

Our team conducted affinity mapping to analyze interview data, allowing us to identify patterns and extract actionable insights that will inform and guide our ideation process.

Affinity Mapping

Our team conducted affinity mapping to analyze interview data, allowing us to identify patterns and extract actionable insights that will inform and guide our ideation process.

Our team identified key user needs and pain points that must be addressed through our design solutions to better support ADHD students' daily workflow and productivity.

Design Recommendations

Based on the insights derived from affinity mapping, we developed the following design recommendations, which guided us throughout the ideation process and later stages of design, including user flow development, information architecture, and wireframing.

Ideation

Our team conducted 6-3-5 and Crazy 8 ideation activities to rapidly generate design ideas and explore diverse directions.

We then re-examined these ideas and developed conceptual sketches and wireframes to visualize, compare, and refine our concepts.

Next Steps

Refine and iterate the high-fidelity prototype based on user feedback.


Conduct heuristic evaluations with experts specializing in ADHD support for college students in disability centers, educational institutions, and healthcare facilities.


Work closely with developers and AI specialists to enhance and develop the product prototype.

Reflection

Refine and iterate the high-fidelity prototype based on user feedback.


Conduct heuristic evaluations with experts specializing in ADHD support for college students in disability centers, educational institutions, and healthcare facilities.


Work closely with developers and AI specialists to enhance and develop the product prototype.

My Takeaways

Thank you my incredible team!


Generative AI as a pathway to more equitable educational resources and learning experiences.


The importance of being a good listener and genuinely empathizing with users, maintaining a user-centered approach throughout the entire design process.


Attention to detail — considering both visual and interaction design to support users with diverse needs.


Grounding each design solution in thorough reasoning, backed by research and data-driven insights.

Updated April 2026, made with love.

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