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Company focus

Sure

Why has Sure's auto insurance partner portal experienced a 25% increase in error rates during policy issuance in the past two weeks?

Prepared by NextSprints

12 mins
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Problem Solving Data Analysis Technical Understanding Insurance Technology Financial Services Root Cause Analysis System Performance InsurTech Error Diagnostics Partner Management
Product Management Root Cause Analysis Question: Investigating Sure's auto insurance partner portal error rate increase

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.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might have been a recent system update. Has there been any significant changes to the portal or backend systems in the past month?

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.

  • Considering user segments, I'm curious about the distribution of errors. Are these errors concentrated among specific partners or spread evenly across all users?

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.

  • Given the specificity of the 25% increase, I'm assuming we have robust monitoring in place. Can you confirm if there have been any changes to our error tracking or reporting systems recently?

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.

  • Thinking about external factors, have there been any recent regulatory changes in the auto insurance industry that might impact policy issuance processes?

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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Updated Jan 22, 2025