Analogy: Music Reccomendations

May 2022

Product Development, UI Design, Research

Background

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.

Research Process

  • Hypothesizing: I proposed a musicality-based algorithm to minimize track skips and enhance the user's listening experience.
  • Qualitative Research: I learned users' preferences, priorities, and the ideal market positioning for the map.
  • Collecting Insights: I learned that users crave discovering new music, an affordable app, and something that is seamless to use.
A row of three charts: from left to right, the first chart showing how observations and evidence was used to compile a hypothesis; the second chart is the Ansoff Matrix, with the highlighted square titled as "Product Development"; the third and last chart shows different insights gained from qualitative research.i
(from left to right) Hypothesizing --> Conducting Qualitative Research --> Analyzing Research to Produce Insights

Translating Insights

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.

Translating User Needs to Product Features

Final Product

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.

A collection of mockups of Analogy's final product
Final product
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