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Product Management Root Cause Analysis Question: Investigating increased auto insurance claim processing time at Wefox

Asked at Wefox

12 mins

Why has the average claim processing time for Wefox's auto insurance increased from 5 days to 8 days over the past two weeks?

Data Analysis Problem-Solving Technical Understanding Insurance Fintech Automotive
Data Analysis Root Cause Analysis System Performance Process Optimization Insurtech

Introduction

The recent increase in Wefox's auto insurance claim processing time from 5 to 8 days is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, validate hypotheses, and propose targeted solutions to address the problem efficiently.

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 be a recent system change. Has there been any significant software update or process modification in the last month?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a new claims management system was implemented. Impact on approach: If confirmed, we'd focus on system-related issues.

  • Considering user segments, I'm curious about claim complexity. Has there been an increase in complex claims recently?

Why it matters: Complex claims naturally take longer to process. Expected answer: No significant change in claim complexity. Impact on approach: If true, we'd look at internal processes or system issues.

  • Thinking about performance metrics, I wonder if the definition of "processing time" has changed. Can you confirm the exact start and end points for measuring claim processing time?

Why it matters: Metric definition changes can cause apparent performance shifts. Expected answer: The definition remains unchanged. Impact on approach: If consistent, we'd focus on actual processing delays.

  • Noticing the specific timeframe, I'm considering seasonal factors. Is this increase unusual compared to the same period in previous years?

Why it matters: Seasonal patterns might explain temporary increases. Expected answer: This increase is atypical for this time of year. Impact on approach: If confirmed, we'd investigate recent internal changes more closely.

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