Tidal
Overview
Tidal, a leading music streaming service, is the go-to platform for music discovery. While the current search function effectively assists users in exploring music within the app, it falls short when users come across songs offline, like in a café.
To overcome this, there's an opportunity to improve by adding an in-app song identification feature. This 80-hour case study will be dedicated to seamlessly integrating this feature into Tidal, aiming to elevate the overall user experience.
Product Type
Adding a feature to Tidal app
My Role
User research
UX/UI design
Duration
10 Days/ 80 Hours
Tool
Figma
Illustrator
Research Goal
This study combines competitive analysis and user interviews to understand user behaviors regarding offline song identification. The aim is to gather insights that will guide the development of an in-app song identification feature, leading to an enhanced user experience on Tidal.
COMPETITIVE ANALYSIS
KEY TAKEAWAYS
In conclusion, Tidal, Apple Music, and Deezer excel in high-quality audio, while Spotify lacks in this aspect. Additionally, Apple Music, Spotify, and Deezer have in-app song recognition capabilities, which Tidal currently does not provide. Tidal could significantly improve user experience by integrating this much-requested feature.
USER INTERVIEWS
I've had conversations with Tidal users spanning ages 25-34, both men and women, who share an interest in discovering music from anywhere.
KEY FINDINGS
USER GOALS
Effortlessly explore music from anywhere while quickly and accurately identifying songs.
PAIN POINTS
66% users users find it bothersome to switch between apps.
33% users have experienced the app failing to recognize a song.
50% users find it challenging to catch a song within a short timeframe.
USER NEEDS
100% users users are highly interested in an in-app song identification feature within Tidal.
100% users expect the feature to make identifying songs easier without needing another app.
66% users emphasize the importance of speed and accuracy.
83% users want to seamlessly add identified songs to their Tidal playlists.
The interviews reveal Tidal users' strong desire for an in-app song identification feature. They expect this feature to streamline the identification process without relying on external apps, prioritize speed and accuracy, and wish to seamlessly integrate identified songs into their Tidal playlists.
PERSONA
How might we enhance the Tidal user experience by enabling seamless music discovery anywhere, enabling users to effortlessly add identified songs to their playlists?
IDEATE
With our personas and how might we statement, we can begin to ideate!
USER FLOW
This user flow illustrate the steps users will take to identify music in their surroundings and seamlessly add it to their playlist within the Tidal app.
LO-FI WIREFRAMES
Key screens designed for the main task.
UI Design
Tidal Detect Icon Design
Crafting a simple icon, aligned with Tidal's typeface, to assist users in seamlessly connecting with music identification. The encircling dots signify the motion of detection, enhancing its visual appeal and user understanding.
EARLY USER TESTING
Users find Tidal Detect valuable for managing music in Tidal. They find it easy to use and efficient. Users want a quick re-identification option and are curious about handling unidentified music. These insights guide feature refinement.
RESULTS
users desire a feature that allows for swift re-identification of music.
66%
users suggested a need for clearer guidance on managing unidentified music in the process.
33%
users appreciate the auto-add feature for identified music into playlists.
83%
FIRST ITERATION
Identify Music
1. Re-identify Music with Ease: Introducing a 'Try Again' Button for Swift Re-Identification.
Unidentified Music
2. Enhanced Unidentified Music Handling: Clearly notifying users when music can't be identified, along with a 'Try Again' option for a swift retry.
This refinement, driven by user feedback, ensures a seamless experience with Tidal.
HI-FI WIREFRAMES USER TESTING
Overall, users had a positive experience with Tidal Detect, with minor suggestions for improving button visibility. The feature's simplicity and usability were well-received.
RESULTS
Identify Music
users found the process to be simple and fast, expressing satisfaction with the efficiency.
100%
users suggested enhancing the visibility of the Tidal Detect button for easier access.
50%
Unidentified Music
users appreciated the clear messaging for unidentified music, finding it helpful to have the option to retry identifying the song.
83%
SECOND ITERATION
1. Improving Tidal Detect Button Visibility: Ensuring easy accessibility and clear visibility for users.
These enhancements take the Tidal experience to the next level!
KEY LEARNINGS
User Value: Users highly appreciate the Tidal Detect feature for efficient music management within the app.
Quick Re-Identification: Users express a strong desire for a feature enabling rapid re-identification of music.
Handling Unidentified Music: Users are curious about how the feature deals with unidentified songs. Clear messaging and options for re-identification are appreciated.
Button Visibility: Users suggest improving the visibility of the Tidal Detect button for easier access.
Seamless Experience: The Tidal Detect feature significantly contributes to a seamless and efficient user experience within the Tidal app.
Opportunity for Improvement: User feedback serves as valuable input for ongoing refinement and enhancement of the Tidal Detect feature.