The objective of this project was to design a solution for a central problem in online clothing retail: the challenges with sizing, fit, and material feel when you can't physically try on a garment. Narniya's core concept is to enable a comparison of clothing measurements from the user's own wardrobe with the measurements of an online item.
To achieve this, I created a calculation model that produces a matching percentage. This model, inspired by MDMD, is highly user-centered, allowing users to adjust important factors based on their own preferences.
The project was structured into four distinct phases:
Throughout the process, several workshops and user tests were conducted with the target audience, which provided crucial insights and guided the project in the right direction. These insights were essential for sketching out ideas and solutions.
With a better understanding of Narniya's core concepts, several prototypes were built for different parts of the app. These were then tested by users to gain valuable insights and refine the design before moving on to the development phase.
The project culminated in a high-fidelity and interactive prototype in Figma. In addition, I also developed a web-based beta and demo version that showcases the concept's core functionality.
Visit the NARNIYA page
