Product design question

How would you create a playlist for a user after they listen to a single song? (in an app like Spotify)

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What this question tests

Tests product design for a lightweight, contextual recommendation feature, balancing immediate personalization against limited signal from a single data point.

How to approach it

  1. Clarify the trigger: a user just finished or is currently playing one song with no other listening history this session, so personalization must work from minimal signal.
  2. Identify the core job: keep the listening session going seamlessly with music the user is likely to enjoy, without manual playlist building.
  3. Propose an auto-generated song radio queue blending the song's genre and audio features, the artist's other popular tracks, and songs frequently co-played after that song.
  4. Address cold-start limits: for a niche song with little co-play data, fall back more heavily on audio-feature similarity like tempo, key, and mood.
  5. Address personalization layering: if the user has any account history, blend in their known taste profile rather than relying purely on the single song's signal.
  6. Define success: skip rate within the generated queue, and session length extending beyond the original song.

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