Introduction
The recent 25% increase in error rates during policy issuance on Sure's auto insurance partner portal is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: System changes often correlate with performance issues. Expected answer: Yes, a minor update was pushed two weeks ago. Impact on approach: If confirmed, we'd focus on regression testing and rollback options.
Why it matters: Helps determine if it's a systemic issue or limited to certain user groups. Expected answer: Errors are more prevalent among newer partners. Impact on approach: We'd investigate onboarding processes and partner-specific configurations.
Why it matters: Ensures we're working with accurate data and not chasing a phantom problem. Expected answer: No changes to monitoring systems. Impact on approach: We'd trust the data and focus on actual error causes rather than measurement issues.
Why it matters: External factors could be forcing changes that our system isn't handling well. Expected answer: No significant regulatory changes. Impact on approach: We'd focus more on internal factors and system capabilities.
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