Music - Q2W5-2023

Music Department Q2W5 Report

Impact Overview:

Focus on refining adaptive playlist algorithms and integrating user feedback into music personalization.

Achievements:

• Successfully launched pilot personalized playlists.
• Gathered initial user feedback from focus groups.
• Integrated sentiment analysis results into playlist recommendations.

Collaborations:

• Worked with Engineering to enhance the recommendation algorithms.
• Partnered with Marketing to analyze user engagement metrics.
• Provided feedback to the Art Department for visual branding alignment.

Weekly Highlights:

1. Pilot Playlist Performance:
   • Engagement metrics indicate a 22% increase in session length.
   • User retention rose by 15% for personalized playlists.
2. Sentiment Analysis Insights:
   • Positive sentiment increased by 18% among test users.
   • Key emotions driving engagement: nostalgia and excitement.
3. Challenges:
   • Difficulty balancing algorithmic suggestions with creative curation.
   • Initial delays in playlist updates due to system bottlenecks.

Next Steps:

• Optimize adaptive algorithms based on sentiment analysis.
• Conduct A/B testing for high-performance playlists.
• Work closely with Support to address user issues related to personalization features.

Key Metrics:

• Playlist Engagement Rate: 68%
• Algorithmic Accuracy: 85%
• User Sentiment Score: +0.8