OVERVIEW
Music has the power to uplift our state of mind, and there's a genre for every mood we have. However, with the vast variety of music available, it can be overwhelming to find the right songs and artists that match our preferences.
It's essential to have a music player app that understands our tastes and recommends the right music from a vast collection of songs, genres, and artists. With this in mind, we need to improve our search for music and make the process of discovering new songs more enjoyable and effortless.
GOAL
Sound to ME app intends to revolutionize how users discover and engage with music, tailoring recommendations to individual preferences and fostering a deeper connection between listeners and the vast world of music.
PROBLEM
"As a music lover, I want a personalized recommendation engine that suggests new artists and songs based on my listening history and preferences."
METHODOLOGY
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20 minutes per participant in Brazil
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Moderated Remote Interview
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Questionaire: Google forms
PARTICIPANTS
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2 participants User Interview
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50 Participants for the online questionnaire
USER RESEARCH
1- What music streaming services do you currently use, and how satisfied are you with their recommendation engines?
2- What criteria do you use to discover new music, such as artist recommendations, playlists, or social media?
3- How important is the ability to customize recommendations based on specific moods, occasions, or activities, such as workout playlists or dinner party music?
4- What other features or functionalities would you like to see in a personalized recommendation engine?
5- How do you create your playlist?
COMPETITIVE ANALYSIS
USER PERSONA
MARIA
Marketing Manager
AGE: 30
EDUCATION: ARTS
STATUS: MARRIED
LOCATION:PORTUGAL
ABOUT
Maria is a music lover who spends a lot of time listening to music. She enjoys discovering new artists and songs but often finds keeping up with the latest trends challenging. Maria listens to music on her commute to work, while working out, and at home to relax.
GOALS
She wants to find new artists and songs that match her musical tastes and preferences.
She wants a personalized recommendation engine that suggests music based on her listening history and preferences.
CHALLENGES
Maria finds it challenging to discover new music that matches her tastes. She often relies on recommendations from friends or social media, which can be hit or miss. She also finds it time-consuming to search for new music and wants a more efficient way to discover new artists and songs.
EMPATHY MAP
BRAINSTORMING
BRAND ID
“It's always important to feel the music”
INSIGHTS
Users want to personalize the recommendations based on their mood
Users want to spend less time searching and personalizing the playlist
Users are influenced by social media and app recommendations to find new music
Want to know more?
Let's talk!