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What factors are contributing to the 30% increase in customer complaints about Ethos (Insurance Brokers)'s claims processing time over the past month?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Process Improvement Insurance Fintech Customer Service Data Analysis Root Cause Analysis Process Optimization Insurance Tech Customer Complaints
Product Management Root Cause Analysis Question: Investigating insurance claims processing delays and customer complaints

Introduction

The recent 30% increase in customer complaints about Ethos's claims processing time is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our approach will involve a thorough examination of internal processes, customer touchpoints, and external factors that may be contributing to this surge in complaints. We'll set a clear agenda to guide our investigation, starting with clarifying questions to establish context, followed by a comprehensive analysis of potential causes, and concluding with actionable recommendations.

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 change in our claims processing system. Has there been any significant update or modification to our claims handling software in the past month?

Why it matters: System changes often lead to unexpected issues in processing times. Expected answer: Yes, a new claims management system was implemented three weeks ago. Impact on approach: If confirmed, we'd focus on system-related hypotheses and technical solutions.

  • Considering the scale of the increase, I'm wondering about staffing levels. Have there been any changes in our claims processing team's size or composition recently?

Why it matters: Understaffing or new, less experienced staff could explain longer processing times. Expected answer: No significant changes in staffing levels or composition. Impact on approach: If staffing is stable, we'd shift focus to process or system-related issues.

  • Given the specificity of the 30% increase, I'm curious about our measurement methods. Has there been any change in how we define or measure "claims processing time" in the last month?

Why it matters: Changes in measurement can create false perceptions of performance shifts. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, we'd focus on actual performance issues rather than measurement anomalies.

  • Considering potential external factors, I'm wondering about claim volumes. Have we seen any unusual spikes in the number of claims filed over the past month?

Why it matters: A sudden increase in claims could overwhelm our current processing capacity. Expected answer: Claim volumes have remained relatively stable. Impact on approach: If volumes are normal, we'd focus more on internal factors affecting processing speed.

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NextSprints

Updated Mar 29, 2025