listen.fm
The music app that listens to you.
Apps like Spotify already have playlists based on moods, but they don’t match everyone’s specific tastes. Listen.fm fills that gap.
Listen.fm is a music suggestion AI connected to a music streaming app. Users can use it not only to track their mood, but to get personalized music recommendations. It gathers the users’ listening history data so that it can suggest music for the user based on their previous listens, and uses mood keywords given by the user to aid in its recommendations.
UX/UI // ai
user personas
Moody Meghan
Meghan is a 23-year old Spotify devotee and wants to have a unique mood tracking app that can give her simple, personalized reactions to her mood reports, with recommendations to listen to while she starts her career.
Personal Paul
Paul is a college student and Apple Music user who wants some personalized music recommendations without having to switch streaming services.
Need “Recs” Reina
Reina’s music taste is broad and changes daily. She’s busy all day and hates taking the time to scroll through her library to find the perfect song to fit her particular mood for that day, and wants the decision to be easier.
the app combines mood tracking with music recommendations, and allows for its users to share their emotional music findings with each other
initial app function overview
the goal is to bring unique features and social aspects to an otherwise generalized and well-known music streaming app layout
initial layout sketches
wanted something simple, intuitive and familiar
Wireframe hilights
the goal was to make a logo that is fun, robotic yet human, and simple enough to not take over the app when it’s onscreen.
logo explorations
clean logo that gives the bot portion of the app a quiet, caring personality right off the bat
logo
Users always have the option to link their music streaming apps in order for the app to make the most educated recommendations & for ease of adding recommendations to their playlists
journey: logging in
Home screen is a quicker launchpad for past recommendations, and includes multiple options for immediate mood tracking .
existing user: home screen
Users can get personalized recommendations quickly by selecting from a list of general moods and specifying it based on similar keywords.
journey: mood tracking [deffault]
interaction: mood tracking [deffault]
Users can better track their mood by journaling through the chat feature of the app. They can elaborate how they’re feeling, and the AI will grab keywords that it recognizes from the app’s database/library.
journey: mood tracking [chat]
interaction: mood tracking [chat]
Users can view their past mood reports via a color-coded calendar, and can see their responses and recommendations in detail at any time.
journey: mood history
Users can display certain aspects of their profiles (or not), and can follow other users to see what recommendations they get. Users can also see each others’ “Contributions”, or how much they have contributed towards the AI’s learning database.
journey: proifle and followers
Users can search for music by title, artist or keyword/#tag. They are able to like songs to add to playlists on their music streaming app, and can view and add tags to songs for personal or public use.
journey: searching and tags
