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Company focus

Elevance Health

What caused the sudden 30% increase in customer service call volume for Elevance Health's pharmacy benefit management services last month?

Prepared by NextSprints

15 mins
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Problem-Solving Data Analysis Stakeholder Management Healthcare Insurance Pharmacy Benefit Management Data Analysis Root Cause Analysis Customer Service Healthcare Product Operations
Product Management Root Cause Analysis Question: Investigating sudden increase in customer service calls for healthcare company

Introduction

The sudden 30% increase in customer service call volume for Elevance Health's pharmacy benefit management services last month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

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 seasonal factor at play. Has there been any change in prescription patterns or health insurance enrollment cycles that could explain this spike?

Why it matters: Seasonal trends could significantly impact our root cause analysis and solution approach. Expected answer: No significant seasonal changes noted. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'd look deeper into internal factors.

  • I'm curious about recent system changes. Have there been any updates to the pharmacy benefit management platform or related systems in the past 1-2 months?

Why it matters: System changes often correlate with sudden metric shifts. Expected answer: A minor update was pushed two weeks before the spike. Impact on approach: If confirmed, we'd prioritize technical investigations and rollback considerations.

  • Regarding user segments, are we seeing this increase across all demographics, or is it concentrated in specific groups?

Why it matters: Segmentation helps narrow down potential causes and tailor solutions. Expected answer: The increase is more pronounced among older adults. Impact on approach: We'd focus on issues specific to this demographic, like complex medication regimens or technology barriers.

  • I'm wondering about any changes in call categorization or routing. Has there been any modification to how calls are classified or directed within the customer service system?

Why it matters: Changes in classification could artificially inflate numbers without an actual increase in issues. Expected answer: No recent changes to call categorization or routing. Impact on approach: If changed, we'd audit the classification system; if not, we'd focus on actual call drivers.

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Updated Jan 22, 2025