Introduction
The recent issue of Netflix recently watched shows not appearing for 40% of users is a critical problem that directly impacts user experience and engagement. As we analyze this product issue, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.
To tackle this problem, I'll start by asking clarifying questions to gather more context. Then, we'll rule out basic external factors, understand the product and user journey, break down the metric, gather and prioritize data, form hypotheses, conduct root cause analysis, validate our findings, and finally propose a resolution plan.
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: This helps us narrow down potential technical or localized issues. Expected answer: The problem seems to be distributed across various user segments. Impact on approach: If it's localized, we'd focus on region-specific infrastructure or content delivery networks.
Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: A minor update to the recommendation system was deployed last week. Impact on approach: We'd prioritize investigating the impact of this recent change.
Why it matters: Ensures we're working with accurate data and a consistent definition. Expected answer: No changes in tracking methods; the 40% figure is from our standard analytics. Impact on approach: Confirms we should focus on actual user experience issues rather than data anomalies.
Why it matters: User behavior changes can sometimes manifest as system issues. Expected answer: No major shifts in viewing patterns have been observed. Impact on approach: This would lead us to focus more on technical issues rather than content-related factors.
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