MoodMach

To address decision fatigue, I conceptualized a solution focused on helping users make everyday choices more easily by suggesting personalized activities based on their mood, location, and preferred budget. This led to the creation of MoodMach, a concept product designed to support emotional awareness and reduce cognitive overload through intelligent recommendations.

 

The project followed a structured Human-Centred Design approach from research through final implementation. The process began with user research and interviews to understand how individuals track emotions and the challenges they face in maintaining emotional awareness and daily decision-making. Insights were synthesized through affinity mapping to identify behavioural patterns and define key problem areas. Based on these findings, user personas were developed to guide design decisions and ensure alignment with real user needs.

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Low-fidelity wireframes were created to explore user flows, information architecture, and interaction patterns, simplifying complex emotional data into intuitive experiences. These concepts evolved into high-fidelity interactive prototypes, supported by a custom UI design and scalable design system. The system included reusable components, typography, color guidelines, and visual assets to ensure consistency and support future product growth.

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The final designs were validated through usability testing and iterative refinement. Continuous optimization throughout the process resulted in a user-friendly mood-based experience designed to help users better understand emotional patterns, reduce decision fatigue, and build healthier daily habits.