Introduction
The recent 15% drop in daily active users for Bilibili's live streaming feature over the past week is a significant concern that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the product.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a minor UI update. Impact on approach: If confirmed, we'd focus on the UI changes as a primary factor.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The drop is more pronounced among younger users. Impact on approach: We'd tailor our investigation and solutions to the most affected segments.
Why it matters: External events could explain user behavior changes. Expected answer: A competitor launched a new feature with heavy promotion. Impact on approach: We'd need to consider competitive positioning in our analysis.
Why it matters: Technical issues could directly impact user engagement. Expected answer: There have been some reports of increased buffering. Impact on approach: We'd prioritize technical performance in our investigation.
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