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What factors are contributing to the increased call volume to Collective Health's customer support team for prescription drug coverage inquiries this quarter?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Healthcare Insurance Technology User Experience Root Cause Analysis Healthcare Tech Customer Support Data Integration
Product Management Root Cause Analysis Question: Investigating increased call volume for prescription drug coverage

Introduction

The increased call volume to Collective Health's customer support team for prescription drug coverage inquiries this quarter signals a potential issue in our product ecosystem. To address this challenge, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate 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. Has there been a similar increase in call volume during this quarter in previous years?

Why it matters: Helps distinguish between cyclical patterns and new issues. Expected answer: No significant seasonal pattern observed. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'd investigate recent changes.

  • Considering user segments, I'm curious about the demographics. Are we seeing this increase across all age groups, or is it concentrated in specific segments?

Why it matters: Identifies whether the issue is universal or segment-specific. Expected answer: Increase primarily in older age groups. Impact on approach: If segment-specific, we'd tailor our solution to that group's needs.

  • Thinking about recent changes, have there been any updates to our prescription drug coverage policies or our communication about them in the last quarter?

Why it matters: Pinpoints potential internal triggers for the increase. Expected answer: Minor policy updates implemented last month. Impact on approach: If recent changes correlate with the increase, we'd focus on those specific updates.

  • Regarding system performance, has there been any downtime or significant errors in our digital self-service tools for prescription inquiries?

Why it matters: Helps determine if technical issues are forcing users to call instead of self-serve. Expected answer: No major outages, but some intermittent slowdowns reported. Impact on approach: If technical issues are present, we'd prioritize fixing those to reduce call volume.

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Updated Jan 22, 2025