Introduction
The sudden spike in customer support tickets related to Carbon's EPU 41 material in the last week 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 our product and customers.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product ecosystem, user journey, and relevant metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.
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: Recent changes often correlate with sudden spikes in support tickets. Expected answer: Yes, there was a minor formulation adjustment. Impact on approach: If yes, we'd focus on the change management process and potential quality issues.
Why it matters: Helps identify if the issue is widespread or localized to a particular group. Expected answer: Tickets are primarily from industrial customers using EPU 41 for high-stress applications. Impact on approach: If segmented, we'd tailor our investigation and solution to that specific use case.
Why it matters: Identifies patterns in the reported issues, guiding our root cause analysis. Expected answer: Unexpected material brittleness, color inconsistency, and longer curing times. Impact on approach: We'd focus our investigation on these specific material properties and production processes.
Why it matters: Ensures we're not dealing with a data anomaly rather than a real product issue. Expected answer: No changes to the ticketing system or categorization process. Impact on approach: If changed, we'd need to validate the data before proceeding with product-focused analysis.
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