Introduction
The sudden increase in Netflix's My List update time to 10 minutes is a critical issue that demands immediate attention. This unexpected performance degradation could significantly impact user experience and engagement with a core feature of the platform. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
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: Pinpointing the timeframe helps narrow down potential causes. Expected answer: Within the last week or two. Impact on approach: A sudden change suggests a recent system update or infrastructure issue.
Why it matters: Identifying affected segments can help isolate the problem. Expected answer: The issue appears to be widespread but may vary by region or device. Impact on approach: If segmented, we'd focus on specific user groups or technical environments.
Why it matters: An increase in list size could impact processing time. Expected answer: No substantial change in average list size. Impact on approach: If unchanged, we'd look more closely at backend processes or infrastructure.
Why it matters: Recent changes are often the culprit in sudden performance issues. Expected answer: A backend update was deployed two weeks ago. Impact on approach: We'd prioritize investigating the recent update and its impact.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes to the measurement process. Impact on approach: Confirms the issue is with the actual performance, not the measurement.
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