Introduction
The 20% increase in customer service call times for New York Life Insurance's whole life policy holders is a concerning trend that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the company and its customers.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the timeline helps identify potential triggers or changes. Expected answer: Within the last quarter. Impact on approach: Recent changes would be prioritized in the investigation.
Why it matters: Segmentation could reveal specific user groups experiencing issues. Expected answer: Primarily affecting newer policy holders. Impact on approach: Focus on onboarding and early policy management processes.
Why it matters: Recent changes often correlate with performance shifts. Expected answer: A new customer service platform was implemented. Impact on approach: Investigate the new platform's impact on call handling.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes to the metric definition or measurement. Impact on approach: Validates the observed increase as a real issue.
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