Yuvraj’s approach
Identify potential internal vs. external factors affecting engagement: Internal- UI/UX changes that caused navigation friction, recommendation algo shift that caused less relevant songs being played, technical bugs, reduced notifications causing less engagement. External factors: Competitor features- tiktok, apple music, youtube music etc launching new playlist related features, Seasonal trends- Summer travel, exams, vacations that caused a shift in usual listening habits. Events- Cultural or global events changing user behaviour.
Prioritize investigation methods or data to explore first: Internal product data ( 1st priority): Compare playlist engagement before/after recent app updates. Segment by platform: ios, android, web to detect ux friction. Analyse recommendation click through rates.
Externbal competitive scan (priority 2): Track user churn patterns, overlay engagement decline with competitor launches, seasonal trend analysis-compare engagement for last year during same period to understand pattern.
Explain your reasoning for prioritization: Internal data is fastest to access and most actionable. External and seasonal factors require correlation but can be combines after internal validation.
Identify what decision or trade-off these findings might inform: If internal product issue is confirmed- prioritise bug fixes or algo tuning before launch of new features as an external checkpoint or test case. If external competitor is driving decline- inform marketing and product strategy to gain back traction through counter features or campaigns. If seasonal trend is confirmed- treat it as temporary shift, avoid making permanent changes but plan proactive engagement campaigns for future cycles to maintain engagement rate.