Project Brief
The primary goal is to create a music organizer feature that prioritizes the needs, preferences, and goals of the users. The design should provide a seamless and intuitive user experience, making it easy for users to organize, discover, and enjoy their music collections.
Why Spotify?
During a casual browsing session on Spotify, I found myself creating a new playlist and manually adding each song one by one. As this process made me realize how repetitive and time-consuming it can be to add songs individually to a playlist. This got me thinking: Are other users experiencing the same frustration when it comes to organizing their music and is there already a solution available?
Usability Testing
Current Solutions And Ideas
When it comes to organizing music collections, several existing solutions cater to user needs:
Intelligent music tagging: Automatically identifies and tags music files with relevant metadata, such as artist, album, genre, and mood.
Smart playlist creation: Recommends and creates playlists based on user preferences, listening history, and contextual factors.
Collaborative playlists: Allows users to collaborate with friends and create shared playlists together.
Personalized recommendations: Offers tailored music recommendations based on user preferences, listening habits, and external data sources.
Seamless integration with streaming platforms: Integrates with popular music streaming services to provide a unified music management experience.
However, I delve into a platform that uses AI and introduces unique features to the realm of music organization. Through this analysis, we will uncover valuable insights that can serve as a roadmap for potential improvements and innovations within the AI using platform.
I did high-fidelity mockups using the existing UI design within Spotify to outline the key screens and interactions, focusing on usability and flow. The idea is to implement AI as a feature directly into Spotify where the user will be greeted with the AI Playlist Generator through creating and sorting a playlist.
High-Fidelity
Built an interactive prototype of the AI music organizer feature. The final prototype showcases key functionalities and user interactions. Click here to try it out
The feedback gathered from testing helps refine the design, identify areas of improvement, and ensure that the AI music organizer meets users' needs and expectations. Through user feedback, I discovered that incorporating a loading page added a more immersive and realistic feel to the experience. Given that it takes a few seconds to find songs and generate them into a playlist, the loading page provided users with visual feedback, assuring them that the process was underway.
Test
Final Thoughts
What I Learned:
Users value seamless and intuitive music organization experiences that save time and effort.
Personalization is key, as users desire AI-driven features that cater to their unique preferences.
Efficient playlist creation and management are essential to enhancing user satisfaction.
Visual feedback, such as loading pages, can improve the perceived speed and realism of the app.
User feedback is valuable in identifying pain points and driving iterative design improvements.
Next Steps:
Further iterate on the AI Playlist Generator, refining and optimizing its design.
Conduct additional user testing and gather feedback to ensure the feature meets users' expectations and needs.
Expand the AI-driven capabilities to offer more personalized music recommendations and intelligent search options.
Explore ways to foster social collaboration, allowing users to share and collaborate on playlists within the app.
Gather feedback from experience designers and developers to identify areas for continuous improvement and innovation.