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)
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.
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.
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.
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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