MOOD/SWING - MUSIC APP
The perfect music for your every mood is now easier to find with mood/swing, the first music streaming app that tracks your moods and listening patterns to suggest the right tracks for you
Role - Branding, UX, UI
Tools - Adobe XD, Photoshop, Canva
Project type - UX Concept

A revolutionary music streaming app design that leverages cutting-edge AI technology to make music discovery a seamless and delightful experience



Take the guesswork out of finding the right music by recording your emotions and curating playlists tailored to your feelings
THE CHALLENGE
While music recommendation algorithms aim to enhance the user experience, they often miss the mark. Users receive recommendations that don't align with their current musical needs and preferences, leading to frustration.
Studying this issue, I discovered many studies have found there is a strong link between music and emotions, one that can go as far as to influence the way we interpret music and alter our musical preferences.





THE SOLUTION
mood/swing is designed to give users the best musical matches for their current mood. The "mood bar" is the core feature of the new streaming experience and is placed front and center to be always accessible for real time mood updates.
The app is rounded off with staple features to create the perfect user experience: download the tracks you just can't keep off your mind to play offline, see lyrics and sing along to your favorite songs, cast to audio systems and many more.




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Engaging System 1
Music selection often happens during System 1 (fast, intuitive) thinking
The interface needed to reduce cognitive load and make emotional state selection intuitive
Visual cues and familiar patterns were prioritized to enable quick decision-making
Framing Job To Be Done
Users "hire" music for different emotional jobs:
"Help me maintain my current positive mood"
"Help me shift from a negative to positive emotional state"
"Help me focus while working"
"Help me energize for exercise"
mood/swing is focused on making it easy to get the job done
Cognitive load management
Simplified mood selection through visual interface
Reduced choice paralysis through contextual recommendations
Clear hierarchical information architecture
Systematic approach
Consistent component systems designed for scalability
Cohesive visual language across the app
Strict spacing and alignment principles
Modular design system built for efficient scaling
Focus on engagement
Easy emotion selection
Seamless online and offline experiences
Immersive listening experiences
Shareable monthly recaps
Conversational design
Natural, human-centered interactions
Intuitive feedback loops
Clear, concise microcopy
Contextual responses based on user state