Introduction
Netflix's key metric drop is a critical issue that demands immediate attention and a thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll begin by clarifying the situation, then rule out external factors before diving deep into the product ecosystem, user journey, and metric breakdown. We'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions. Throughout this process, we'll maintain a focus on Netflix's core value proposition and user experience.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why these questions matter: Understanding the specifics of the metric drop, its timeline, and potential contributing factors is crucial for accurate analysis.
Hypothetical answers:
- The key metric is monthly active users (MAU), which has dropped by 8% over the last quarter.
- The drop is global but more pronounced in North America and Europe.
- A new recommendation algorithm was implemented two months ago.
- No major technical issues or metric definition changes have been reported.
Impact on solution approach: These answers would focus our investigation on the new recommendation algorithm and regional factors, while also considering broader user engagement issues.
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