UX Designer + UX Researcher
2 UX Designers + 3 UX Researchers
Oct - Dec 2021; 3 months
Literature Review + 2 Design Iterations
Interactive working prototype
Current mood tracking apps:
Personal emotions tracker is a mobile app that allows users to:
This design was selected to be featured in The Best Illustrated App Designs by DesignRush, a platform known for promoting amazing designs.
Existing mood trackers limit users to fixed interaction methods, restricting flexibility of use. Many mood-tracking apps require extensive journal input, hence discouraging long-term adoption by users. Also, current mood trackers lack engaging mood trends & insights, hindering self-reflection. Moreover, current mood trackers lack personalization and adaptability, providing a generic user experience.
It was a challenge to find a tracking method with a low-input overhead to gather comprehensive mood data. Incorporating contextual data about the user to provide an engaging user experience also proved to be difficult. Moreover, building the foundation for long-term behavior change through self-reflection turned out be the biggest challenge.
I the play store and looked at academic paperfind opportunities for improvement and current research efforts in this domain. I found multiple possibilities and room for improvement as summarized below:
PET offers users a holistic approach to mood tracking:
I delivered an interactive working prototype that made mood tracking personalized & interactive. Through the usability testing session, I was able to resolve majority of the issues brought up by the users & increase user satisfaction.
Conducting literature review led to a stronger concept and well-thought out functionalities for the app.
Being my first time conducting user testing, I was able to realize its value and witnessed first-hand the impact it has on a product.
Designing for the apple watch compelled me to prioritize and showcase only the most essential elements on the interface.
More time and resources would've added a layer of customization, pertaining to the animal avatars and depicting user's real-time mood on the animal.