Introduction
The increase in call wait times for Tufts Health Plan's member services department this month is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications. Our approach will involve clarifying the situation, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering data, forming hypotheses, conducting root cause analysis, and developing a comprehensive resolution plan.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Identifying seasonal patterns helps distinguish between cyclical issues and new problems. Expected answer: No significant seasonal pattern observed in previous years. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'd investigate recent changes.
Why it matters: System changes often lead to unexpected consequences in call handling. Expected answer: A minor update was implemented two weeks ago. Impact on approach: If yes, we'd prioritize technical investigation; if no, we'd look more at staffing or demand factors.
Why it matters: Staffing directly impacts call wait times and overall service capacity. Expected answer: Staffing levels have remained consistent. Impact on approach: If staffing changed, we'd focus on HR and training; if not, we'd look at call volume or complexity.
Why it matters: External events can cause sudden spikes in call volume, overwhelming existing capacity. Expected answer: A new benefits package was announced last month. Impact on approach: If yes, we'd analyze communication strategies and prepare for future announcements; if no, we'd focus more on internal factors.
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