Why has Haven Life's customer satisfaction score for the InstantTerm process declined from 4.8 to 4.2 in the past 60 days?

Introduction

Haven Life's InstantTerm process has seen a significant drop in customer satisfaction, from 4.8 to 4.2, over the past 60 days. This decline requires immediate attention and a thorough investigation to identify the root cause and implement effective solutions. I'll approach this issue systematically, focusing on data-driven analysis and strategic problem-solving.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent change to the InstantTerm process. Has there been any significant update or modification to the application flow in the last 60-90 days?

Why it matters: Recent changes often correlate with shifts in customer satisfaction. Expected answer: Yes, there was a change to streamline the application process. Impact on approach: If confirmed, we'd focus on analyzing the specific changes and their effects.

• Considering the magnitude of the drop, I'm curious about the sample size. Has there been any change in the volume or demographics of customers providing feedback?

Why it matters: Changes in sample size or composition could skew results. Expected answer: No significant changes in feedback volume or customer demographics. Impact on approach: If consistent, we'd focus on product-related issues rather than sampling biases.

• Given the specificity of the InstantTerm process, I'm wondering if this decline is isolated or part of a broader trend. Have other products or services experienced similar declines in satisfaction?

Why it matters: Helps determine if this is a product-specific issue or a company-wide challenge. Expected answer: The decline is specific to InstantTerm. Impact on approach: If isolated, we'd focus exclusively on InstantTerm-related factors.

• Considering potential technical issues, has there been any increase in system errors, timeouts, or performance degradation reported for the InstantTerm process?

Why it matters: Technical issues often directly impact user satisfaction. Expected answer: Some increase in error rates has been observed. Impact on approach: If confirmed, we'd prioritize technical root causes in our analysis.