Introduction
The sudden 30% increase in claim denials for Hippo Insurance's flood coverage policies in coastal regions this month 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 customers.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, metrics, and potential internal causes. My goal is to pinpoint the root cause and develop a comprehensive plan to resolve the issue and prevent future occurrences.
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 could directly impact claim approvals. Expected answer: Yes, we updated our risk assessment model. Impact on approach: If confirmed, I'd focus on validating the new model's accuracy.
Why it matters: Extreme weather could explain increased claims and denials. Expected answer: No significant weather anomalies reported. Impact on approach: If true, we'd need to look more closely at internal factors.
Why it matters: Changes in customer profile could affect claim patterns. Expected answer: No significant demographic shifts noted. Impact on approach: If confirmed, we'd focus on policy terms and claim processing.
Why it matters: Technical issues could lead to erroneous denials. Expected answer: A minor update was rolled out two weeks ago. Impact on approach: If true, we'd prioritize investigating potential software bugs.
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