Spotify can now make custom workout playlists based on answers to a questionnaire; the playlists can be as long as two hours and include both podcasts and music
Ashley Carman / The Verge :
Context & Ripple Effects
Spotify has been building toward questionnaire-driven curation for years: its computer-generated personalized playlists arrived back in 2015, it later said it would personalize some of its human-curated playlists, and in 2019 it tested Your Daily Drive, which mixed short podcast episodes into music playlists.
This workout feature extends that same template along two axes at once — length (up to two hours) and format (podcasts alongside music) — while borrowing the mood-and-activity framing Pandora used when it attacked Spotify with Music Genome-built playlists for moods and activities.
First-order effects
- Users answering the questionnaire get activity-length playlists of up to two hours that interleave podcasts with music, giving podcast episodes algorithmic placement inside workout sessions rather than relying on show follows.
Second-order effects
- Podcast publishers gain a new discovery surface but now compete for slots inside generated playlists, echoing how Anchor's interactive polls and Q&As already pulled creators deeper into Spotify's own tooling.
- Rivals like Pandora, whose Music Genome playlists established the mood-and-activity pitch, face pressure to match Spotify's hybrid music-plus-podcast format, where Spotify's catalogue breadth gives it an edge.
Third-order effects
- Curation keeps migrating from human editors to structured user input — questionnaires here, and later the text prompts behind Spotify's 2024 AI Playlist beta for Premium users — making playlist generation a data-capture mechanism that feeds recommendation systems.
The trend: Playlist curation is steadily shifting from human editors to systems that generate listening from explicit user signals, with each new input format widening what those systems can produce.