Aura Overview
Aura provides an immersive space for Spotify users to interact with their listening data and get recommendations they will enjoy
Process Synopsis
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Deliverables
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Develop
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Define
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Discover
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Discover
Research Summary:
Spotify collects user data to enhance user experiences, but much of the API's potential remains untapped. Its "curated" discoverability is broad and often fails to reflect individual tastes, making personalized music discovery challenging.
Define
Other solutions (Competitors):
Competitors lack strong reasons for repeat visits, except one site's self-quiz feature.
This highlights a clear opportunity to innovate with enhanced discoverability and personalized recommendations
Audience:
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Users: 500M Spotify Users​
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Demographic: 55% of users aged 13-34​
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Goals: Learn about listening patterns and be able to discover more to their liking.​
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Competitors: lack strong reasons for repeat visits, except one site's self-quiz feature. This highlights a clear opportunity to innovate with enhanced discoverability and personalized recommendations.
Develop
Develop Methodologies:
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MVP
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Personas
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Crazy 8s
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Scrum Meetings
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Sketching
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Usability Testing
Iterations
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Low Fidelity​
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Mid Fidelity​
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High Fidelity
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Deliverables​
Deliverables
Users are able to able to access listening data from multiple timeframes throughout the year, providing detailed listening data instead of a less informed overview.
Aura observes music patterns to determine moods within songs. Our Top Moods feature helps the user to identify and organize songs for different mood settings.
Users can also curate and export playlist using their listening data.
Aura Enable users to view their listening data (top artists, songs, genres), and provides similar recommendations.
