Imagine you are a Product Manager at a music streaming service similar to Spotify. After launching a new feature that allows users to share playlists, you notice user engagement has dropped by 30% on the platform. How would you approach identifying the cause of this issue and what steps would you take to rectify it? Walk us through your entire process.

To address the decrease in user engagement following the playlist sharing feature launch, I would begin by clarifying the scope and success metrics related to engagement, such as DAU (Daily Active Users) and session length. Understanding these metrics helps in diagnosing the root cause of the decline. Once this is clarified, I would delve into qualitative and quantitative data analysis to identify patterns—this includes user feedback, A/B testing results, and behavioral analytics to discern whether the sharing feature alienates users, or if it is a usability issue. Evaluating user behavior pre- and post-launch of the playlist sharing can offer insights into what's changed. After identifying potential issues, I would generate at least three possible solutions. Solutions could range from redesigning the sharing interface for ease of use, enhancing explanatory tutorials to guide users on leveraging the feature, or possibly revamping existing playlists to enhance value. After generating these solutions, I would prioritize them based on their feasibility and potential impact using the RICE framework (Reach, Impact, Confidence, Effort), focusing on solutions that could be implemented swiftly and can improve engagement metrics. Finally, I would define success metrics around the fixes implemented—such as aiming for a 10% increase in session length or DAU over the next quarter. Continuous monitoring will be essential so that if user engagement does not improve, I can iterate on the solutions introduced. This structured approach ensures we address not just the symptoms but the root causes of declining engagement.