Introduction
The sudden 30% decrease in API calls for Sure's renters insurance integration last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and business.
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 often correlate with performance issues. Expected answer: Yes, we deployed a new version last Tuesday. Impact on approach: If confirmed, we'll focus on changes in that deployment.
Why it matters: Helps isolate whether the issue is systemic or partner-specific. Expected answer: It's affecting our top 3 partners more severely. Impact on approach: We'll prioritize investigating those specific integrations.
Why it matters: Error rates can indicate technical issues causing the decrease. Expected answer: Yes, there's been a 15% increase in timeout errors. Impact on approach: We'll focus on performance and infrastructure issues.
Why it matters: External factors could explain changes in API usage patterns. Expected answer: No major market changes, but one competitor launched a new product. Impact on approach: We'll consider competitive pressures but focus more on internal factors.
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