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Product Management Root Cause Analysis Question: Investigating customer satisfaction decline in renters insurance
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Nextsprints

Updated Jan 22, 2025

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How can we explain the 20% decline in customer satisfaction scores for Assurant's renters insurance service over the past six months?

Problem Solving Data Analysis Customer Experience Insurance Insurtech Financial Services
Product Strategy Data Analysis Root Cause Analysis Customer Satisfaction Insurance Tech

Introduction

The 20% decline in customer satisfaction scores for Assurant's renters insurance service over the past six months is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term 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 be seasonal factors at play. Have we seen similar declines in customer satisfaction during this time of year in previous years?

Why it matters: Seasonal patterns could indicate cyclical issues rather than new problems. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on annual preparedness; if not, we'd investigate recent changes.

  • Considering the magnitude of the decline, I'm wondering about recent product changes. Have there been any significant updates to the renters insurance service in the past 6-8 months?

Why it matters: Product changes often impact user experience and satisfaction. Expected answer: A new claims process was implemented 7 months ago. Impact on approach: If changes occurred, we'd scrutinize their impact; if not, we'd look at external factors or gradual deterioration.

  • Given the specific metric, I'm curious about the components of our customer satisfaction score. Has there been any change in how we measure or calculate this metric recently?

Why it matters: Changes in measurement can sometimes explain sudden shifts in metrics. Expected answer: No changes to the measurement methodology. Impact on approach: If changed, we'd need to recalibrate our analysis; if not, we'd focus on actual satisfaction drivers.

  • Thinking about user segments, I'm wondering if this decline is uniform across all customer groups. Do we see any particular demographic or policy type more affected than others?

Why it matters: Segmented analysis can reveal targeted issues rather than systemic problems. Expected answer: The decline is more pronounced among younger policyholders and those with basic coverage. Impact on approach: If segmented, we'd tailor solutions to specific groups; if uniform, we'd look at broader, systemic issues.

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