Product Development, UI Design, Research
Existing music apps, including popular platforms like Spotify and Pandora, often fall short when it comes to accurate song suggestions. While these apps employ recommendation algorithms, they tend to rely heavily on factors such as similar artists or genres, overlooking important musical elements that truly resonate with individual listeners. As a result, users frequently encounter frustrating experiences where the suggested songs fail to align with their unique tastes, leading to dissatisfaction and disrupting the seamless connection between users and their music. There is a need for innovative approaches that consider more nuanced aspects of music, such as tempo, beat, rhythm, and instrumentality, to provide personalized and accurate song recommendations that truly enhance the user's listening experience.
User needs included a place to discover new music, affordability, and ease of use. This led to the creation of an improved recommendation engine, a plugin/additive feature instead of a standalone app, and simple navigation that isn't overly distracting.
Introducing Analogy, an app that utilizes Spotify's API to relate metadata such as tempo, beat, and rhythm to each other instead of relying solely on similar artists. By focusing on the prominent instruments in songs, Analogy revolutionizes personalized music recommendations. Users can now explore and enjoy music that aligns with their preferred instrumentality, breaking away from traditional music categorization. Unlock a unique, tailored experience that brings you closer to the heart of the music you love, bid farewell to inaccurate suggestions, and embrace a new era of music discovery with Analogy.