Spotify ‘Enhance’ Feature

  • Project Type: Adding a new feature
  • Role: UX/UI Designer
  • Industry: Music, Entertainment
  • Tools: Figma / Miro
  • Duration: Mar 2024-May 2024 – 40+ hours

Why I Chose Spotify and This Feature

The problem I had is the Spotify recommended system is flawed and doesn’t give you the best recommendations, so my goal is to create more accurate recommended music, along with an organized structure of the playlist to show where the song was enhanced from originally. I chose this because music really resonates with me, and a good recommendation can lead to so much new knowledge in your music taste, or you may find your new favorite artist!

Problem Statements

From this point, I had a large list of statements on how to change the process of this feature to better the experience for the user. I tried to keep my focus on the statements presented below to help narrow down my process but also keep my options open for change.

  • How would I make the feature more engaging for the user?
  • Try to center the feature as being used to find new music and add it to your playlist.
  • If a recommendation happens from a specific song, have an indicator specifying where that song may have come from.

Proposing Solutions

Throughout my research, I noticed the users had an strong interest in using Spotify and what the playlists have to offer, but their progress was impeded due to the lack of engagement Spotify has with their users. The wireframes presented are presenting what is listed below.

  • Screen 1: Created a Slightly different menu to make it more engaging for users
  • Screen 2: Made the library page easier to view and choose what you want to listen to
  • Screen 3: Made the now playing tab present recommended music that you can add to your queue or likes
  • Screen 4: Made the Playlist structure slightly different with a recommended tab more presentable
  • Screen 5: Made a search bar with not only recent searches, but also recommended searches based on recent listening

Digital Low-Fidelity Wireframes

When going through my wireframe sketches, noticed I wasn’t satisfied with the way I created the playlist structure. I tried to apply attention aspects with colors, the order of the lists, and the icons I am presenting in these wireframes.

Moving to the aspect of perception, I think Spotify does a good job at making things somewhat self explanatory, making it easy for the user to engage.

For the aspect of memory for the user, I made the interface easy to understand and clear what icons are what and how to use them.

Findings

Throughout these prototypes, I found that changing the structure of the playlist to make it more of a drop down menu after you click on the ‘Enhance’ feature. The other screens are added to show a more developed form of how I hope the UI looks like in the future.

Playlist Mind Map / User Flow

Presented is a mind map / user flow chart that shows a users interaction with the ‘Enhance’ feature. I tried to make interaction easy because finding and listening to the music is a focal point of this app. My high-fidelity prototype shows the interaction with the ‘Enhance’ feature and the different UI that comes with it.

What Next?

After creating my high-fidelity wireframes on Figma, I gained a lot of new UX / UI design knowledge and a lot of new design tool skills. Redesigning such a simple feature so it is noticed that it is used was quite a bit of a process and I had a lot of troubleshooting with creating different low-fidelity wireframes throughout my process. I hope to add more frames to this in the future and create an even more in-depth version of my prototype so users know that finding new music shouldn’t be a hard process.