Introduction
The sudden increase in Alexa's response time to 4 seconds is a critical issue that demands immediate attention. This delay significantly impacts user experience and could lead to decreased engagement and customer satisfaction. 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: Helps pinpoint potential triggers and narrows the investigation timeframe. Expected answer: Within the last week or two. Impact on approach: Recent changes would be prioritized in the investigation.
Why it matters: Identifies whether the issue is systemic or isolated to specific user groups. Expected answer: The issue appears to be widespread but may vary in severity. Impact on approach: Would focus on global factors if uniform, or segment-specific issues if varied.
Why it matters: Helps isolate whether the problem is in specific services or the core system. Expected answer: Certain query types (e.g., complex requests or third-party skills) might be more affected. Impact on approach: Would guide the investigation towards specific services or the general infrastructure.
Why it matters: Could directly link the issue to recent modifications. Expected answer: A major software update or infrastructure change might have occurred. Impact on approach: Would prioritize investigating recent changes and their potential impacts.
Why it matters: Ensures the observed increase is real and not a result of measurement changes. Expected answer: No changes in measurement methodology or monitoring systems. Impact on approach: Would validate the accuracy of the reported increase before proceeding with root cause analysis.
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