AI-generated interfaces could not always be intuitive, consistent, or accessible. This project became a perfect opportunity to explore where human judgment and design thinking are still essential in shaping meaningful user experiences.
By evaluating an existing AI-generated product, identifying its weaknesses, and systematically improving it, I learned that refining an existing experience can be just as impactful as creating a new one from scratch. I also gained a deeper appreciation for design systems and how consistency in colours, components, and spacing directly influences scalability and the overall user experience.
Key Learnings 1: Improving existing products can be as valuable as creating new ones.
Effective design often comes from evaluating what already exists, identifying opportunities for improvement, and making thoughtful, systematic changes.
Key Learnings 2: Consistency is essential for scalable products.
Working across multiple screens reinforced the importance of design systems and how consistent colours, components, and spacing contribute to a more cohesive experience.
Key Learnings 3: Accessibility should be considered from the beginning.
Applying colour contrast standards and improving visual hierarchy showed me that small design decisions can have a meaningful impact on usability and readability.
As my first real-world product design project outside of school, ProjectTracker helped me understand how design decisions affect not only the visual quality of an interface, but also workflow clarity, scalability, and team productivity.
Working on an internal enterprise platform taught me to think beyond individual screens and consider how each component, flow, and interaction supports a larger system. This experience strengthened my interest in designing scalable digital products and will continue to shape how I approach product design in my future career.
