Introduction
The sudden 30% increase in processing time for specialty medication requests through CoverMyMeds's platform 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.
I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a system update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.
Why it matters: Helps identify if the issue is global or specific to certain request types. Expected answer: The increase varies across different medication types. Impact on approach: If varied, we'd investigate specific medication types more closely.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.
Why it matters: Regulatory changes can significantly impact processing times. Expected answer: No major regulatory changes. Impact on approach: If yes, we'd need to factor in compliance adjustments to our analysis.
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