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Product Management Root Cause Analysis Question: Investigating customer satisfaction decline for claims management platform
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the declining customer satisfaction scores for Mitchell International's WorkCenter claims management platform in the past 6 months?

Data Analysis Problem Solving User Experience Insurance Claims Management SaaS
Product Improvement Root Cause Analysis Customer Satisfaction Claims Management Mitchell International

Introduction

Mitchell International's WorkCenter claims management platform has experienced declining customer satisfaction scores over the past 6 months, raising concerns about the product's performance and user experience. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for the platform and its users.

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 product update. Has there been any significant change to the WorkCenter platform in the last 6-8 months?

Why it matters: Recent changes could directly impact user satisfaction. Expected answer: Yes, a major update was released 7 months ago. Impact on approach: If confirmed, we'd focus on post-update issues and user adaptation.

  • Considering the nature of claims management, I'm wondering about seasonal patterns. Do you typically see fluctuations in usage or satisfaction scores based on the time of year?

Why it matters: Seasonal trends could explain temporary dips in satisfaction. Expected answer: There's usually a slight dip during summer months. Impact on approach: If confirmed, we'd need to adjust our analysis for seasonality.

  • Given the complexity of claims management, I'm curious about user segments. Has the decline in satisfaction been consistent across all user types, or are certain groups more affected?

Why it matters: Identifying specific affected groups could narrow our focus. Expected answer: The decline is more pronounced among new users. Impact on approach: If true, we'd investigate onboarding processes and new user experience.

  • Thinking about external factors, have there been any significant changes in the insurance industry regulations or practices that might affect how users interact with the platform?

Why it matters: External changes could necessitate platform adjustments. Expected answer: No major regulatory changes in the past year. Impact on approach: If confirmed, we'd focus more on internal factors and user needs.

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