A new feature for Spotify that tracks a user’s current emotional state with an interactive tool and immediately creates a more hyper-personalized playlist that matches the user’s specified mood of the moment.
My Role
Timeline
5 weeks / Oct - Nov 2023
Tools
Figma, Illustrator, After Effects
Background
Limitations
User persona
Target Audience -
1. Age 18-35
2. Tech-savvy individuals who use streaming
services daily.
3. People who experience frequent mood changes and seek music that aligns with their emotional state.
Solution
Spotify moodlist -
An interactive tool to track the user’s current emotional state and immediately
receive a personalized playlist that matches their specified mood of the moment.
How it works?
Final product
Prototype
Design process
Data research
User Survey
To support my solution with data, I conducted a user survey targeting
the following demographics, involving 20 participants:
- Individuals aged 18-35
- Individuals with experience with Spotify 'Daylist'
- Tech-savvy individuals who use music streaming services daily.
- People who experience frequent mood changes and seek music that
aligns with their emotional state.
Competitor Analysis
To identify market gaps and user preferences, enabling the creation of
a unique, user-centric service that stands out in the competitive music
streaming industry.
Key Findings
High Demand for Mood-Based Music Selection:
A significant majority (75%) of users reported difficulty in selecting
music that matches their mood, highlighting a gap in the current music
selection process. This underlines the need for a more intuitive,
mood-responsive playlist feature that can adapt to users' emotional states.
Agreement on Mood's Influence on Music Choice
All participants (100%) agreed that their mood affects their music choices,
emphasizing the importance of emotional context in the listening experience.
Strong Interest in Mood Identification and Personalization Features
Users are seeking a deeper level of personalization and support in
recognizing their emotional states.
User flow
Key screens
Design iterations
Design Iteration 01.
1. Instead of a pop-up, create a separate page for the mood list, providing
more space for users.
2. To create a less generic and more mood-enhancing gradient mood map.
3. To create larger and more prominent mood guidelines for the mood map.
4. Adding a feature called 'Mood Intensity' to enable users to have more
personalization and control over their current mood.
Design Iteration 02.
1. No noise effect for better and clear user engagement.
2. Adding a feature which users can preview songs matching their mood
through the mood map.
Final Design Analysis
Design system
What I've learned…
Understanding User Comfort and Familiarity
Reflecting on the insights gained from my project, I've come to
understand that users are not fully accustomed to interactive tools
that closely monitor their emotional states. This realization has
underscored for me the critical importance of considering user comfort
and advocating for a gradual adaptation process when introducing
innovative functionalities into digital products.