Adding social features to the existing app
As a streaming music service, Spotify is the group leader, and it wants to stay that way. For this reason, they want to improve engagement and retention in the app. To do that, they want to expand their social capabilities.
Will users engage deeper and stay longer on Spotify with social features?
Would users love to connect with people who have the same taste in music with them?
Do users have a hard time gathering music from friends for specific occasions like parties, commuting, and datings?
Music is emotionally attached to users with memories and feelings. Would users love to record and share these attachments with friends?
My Participants Said:
What I Learned From Interview
Music lovers would love to share their common memories and feelings on music because sharing common memories on music helps to build friendships. But they only want to share with selected friends instead of public.
Users need to feel confident on whether their recommendations will fit their friends’ personal preference because when sharing music, people hope their friends will like their recommendations as well and same taste on music can bring people closer.
Users need to collaborate on a playlist with friends for special occasions easily because people find it complicated to use Spotify's current collaborative playlist feature.
What If Spoity...
Bonds friends emotionally
Katherine got a new notification by Spotify because her friend, Kathy, @ her in the song "Counting Stars". Kathy said this song reminds her about their last camping experience.
While listening to "Counting Stars", Katherine added her mood as "happy" and "singing". She can also see her Spotify friends' feeling who also added mood to this song.
Helps users share music confidently
Katherine wants to share this song to her friends. She is glad to see the estimated chances on how likely her friends would like this song as well. She shared this song to Luke confidently.
In order to learn her friend's music taste, Katherine opened up the music similarity chart for Kathy. She's happy to see that Kathy also loves pop and R&B. Katherine decided to share more pop songs with her.
Collaborates playlist easily
Katherine is commuting with 3 friends. Spotify auto-created a collaborative playlist after detecting multiple friends within 10 miles. It is easy to collaborate songs now.
One key adding
In the collaborative playlist, Katherine added her recent 5 favorite songs by clicking one key. She could not wait to hear her friends' recent favorite songs now.
1. To find out what kind of social features Spotify current have, planning to add, and suggested by users?
2. To identify Spotify’s advantages within the market by competitors analyzing.
3. Empathy Spotify users need and expectations to determine potential features.
4. Understand users behaviors, interactions, emotions while listening to and sharing music.
1. Users will engage deeper and stay longer on Spotify with social features.
2. Users would love to connect with people who have the same taste in music with them.
3. Users have a hard time gathering music from friends for specific occasions like parties, commuting, and datings.
4. Music is emotionally attached to users with memories and feelings. Users would love to record and share these attachments with friends.
Market research, Competitors analyst
Individual Interview + observation
I did secondary research on Spotify users and stream music market. It helps me understand Spotify better and determine the provisional personas for the interview. I first collected some information about Spotify users demographics and current music streaming market from Statista website. And then, I used Google to search and study other competitors for analyzing. I also collected some Spotify statics, social features they used to have and currently have.
6 participants were recruited from my birthday party. During the interview, I recorded the conversations using my phone. 6 participants shared their experience, feelings, and concerns on using Spotify. 1 participant is a full-time student, 5 participants are young professionals. They are 1 male and 5 females aged 24 – 28 who are Spotify users.
Sharing common memories on music can help build friendships.
When sharing music, people hope their friends will like their recommendations as well and the same taste in music can bring people closer.
Users find it complicated to use collaboration playlist
Users want to easily share their common memories and feelings with friends.
Users need to feel confident on whether their recommendations will fit their friends’ personal preference.
Users need to collaborate on a playlist with friends for special occasions easier.
Then I did an app audit for Spotify. It helps me to understand and fully explore the app. I first screenshotted every important screen in Spotify and then uploaded to Sketch. And then I organized the screenshots according to Spotify's information architecture.
Collaborate playlist easily
POV Statements & HMW
I referred back to my empathy map and persona, think what would my persona need from Spotify, and then list out HMW according to POV statements.
An emotional bond with friends through music
Better music recommendations to friends
Based on my HWM questions, I tried to come out with as many solutions as possible. And then I prioritize the solutions according to my research.
Business & User Goals
This is a diagram indicating Spotify's business goal and user goals, and what's in common. It gives me a direction on next step project roadmap
After finding the common goals between business and users goals, I prioritized the common goals and listed out the potential features referring to my HMW brainstorming.
New Social Features to be added:
Recommendations / Memories History
Create a collaborative playlist
Adding songs to the collaborative playlist
I referred back to my roadmap and create a sitemap of information architecture with key features
I did low-fidelity wireframes by hand sketches, and annotate the details and interactions.
5. Usability Testing
During my testing with participants, I observe their preferences and hesitations and took notes. According to my notes, I analyze and summarize my findings.
Completion rate: 100%
Error Free rate: 80%
According to my usability test, I found out some pain points that need to be improved.
To be Improved:
Make "feeling" feature more noticeable
Make "suggestion" page design more comprehensive
Implying more contents in "similarity charts"
Add "more options" in collaborative playlist
Add another screen before "suggestion"