Pavlo’s approach
Key parts of the concept:
- Context gathering - the key functionality part which should identify what's the best appropriate time for specific music. Context can be gained based on time, location (not precise, wi-fi is enough), audio device connected (car, headphones), in app user behaviour.
- AI music suggestion algorithm - based on the context and playback history the algorithm should peek the best content for the user.
- UI interaction - user should have control over feature: AI identified groups of context (commute, working, workout etc) - user should have option to adjust their names, manually select a group for playback (which should be remembered and considered in the future), mark content as inappropriate for a group, mark content as a good fit for some groups.
Key metrics:
- DAU
- Duration of the sessions
- Switching from the feature to other content options