The Stream Team is a Product by Universal Music for Spotify Playlisters, the project was a challenge and a pleasure from start to end. The Universal Promo team was incredibly open for any design propositions and reccomendations. The result was a stylistic and modern interface on both UX and UI.
The Goal:
The idea of the Stream Team is not just to be an utilitary platform but also to make Playlisters feel important and creative by using an exclusive interface that also provides a whole different experience by the look & feel. Full of influence by the post-apocalyptic and brutalist UI styles the interface brings some kind of mysterious look & feel with it.
Early prototypes
Early prototypes
The product required a simple user flow, and a strong branding/UI styiling. The early low-fi prototypes were used to estabilish the user flow as the UI style came along the way. The challenge was to create an interaction that would be forward thinking both on UX and UI but also match the Spotify API requirements. This first prototyping steps were used to explore interactions and specially to create a brand atmosphere for the whole Stream Team product.
Playlist Optimization
Playlist Optimization
Mobile responsiveness was vital to understand how the styling would render overall and how the user interaction would actually dictate the way the UI styling should behave on some specific screens.
Scrolling over card swiping
The first flow consists in understanding the main purpose of the product, and navigate naturally through the application in order to choose the first action to be taken. Instead of working with card swiping it was chosen to work with expandable content upon scroll so the interaction is more natural based on latest mobile behavior reports and also to help the user to see more of the available content.
Refining and Complementing
After the main UI-Style was defined and the first User Flows were set up it was time to refine the first
prototypes to match the brand and promotion requirements.
Discover Songs
The Song Discovery creates A.I. made playlists based on the user’s data. The Playlisters only need to login with spotify and choose which playlist they want to discover songs to. When the Playlister is listening to the songs, they can score songs, write comments and add the songs to a specific position in their playlsit. That action helps the A.I. to generate better reccomendations and the user to track what they liked or not.
Optimize Playlists
The playlist optimization is a feature to help Playlisters to improve based on data. Basic song data is shown on the playlist in order to the user to take action about it. The platform also reccomends songs that might add stream growth to the playlist.
Analytics
The Analytics feature is meant to empower the Playlisters to take action over real data. The Playlisters can grow their level based on achievements and understand how they can improve based on a conceptual data visualization style.
Enter To Win
