Music streaming platforms often struggle with true personalization. Their algorithms often repeat suggestions, creating a predictable experience that doesn’t match users’ evolving tastes, leading to stale playlists and frustrated listeners constantly seeking fresh music.
WAVI integrates dynamic playlists and song identification to deliver evolving recommendations. It adapts to users’ changing preferences, providing a personalized and continuously fresh listening experience that matches each user’s unique music tastes.
I focused on understanding user needs by identifying common frustrations with existing music apps, particularly around personalization and ease of discovery, ensuring WAVI addressed those pain points effectively.
find music streaming services often suggest the same songs, leading to frustration over variety.
feel current music discovery tools fail to help them explore new genres and artists.
rely on separate apps for song identification, noting inconvenience in adding new songs.
Jordan is a 26-year-old globe-trotting travel photographer who listens to music while editing photos, traveling between exotic locations, and relaxing on the beach. His music taste varies depending on his mood, whether he’s exploring a new city or unwinding after a long day of shooting. Jordan frequently uses song identification apps to discover local music while on the move but finds it annoying to switch between apps to manage his playlists.
WAVI’s design is trendy and tailored to a music app, using a sleek dark theme with a deep gradient for a modern feel. A pink gradient was added to make key elements pop, giving it a vibrant touch. The interface combines glassmorphism, neumorphism, and glowing accents to create a futuristic look.
The Jost font complements the clean, contemporary look, contributing to the app’s overall stylish and approachable vibe.
© 2024, Esti Nissan. Let’s keep it original.