Introduction
Arctic Wolf's Managed Detection and Response (MDR) service has experienced a 15% drop in alert resolution times over the past month, indicating a significant decline in performance. This analysis will systematically investigate the root cause of this issue, considering both internal and external factors that could be impacting the service's efficiency.
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 could directly impact alert resolution times. Expected answer: Yes, there was a major update to the alert prioritization algorithm. Impact on approach: If confirmed, we'd focus on the new algorithm's performance and potential bugs.
Why it matters: Staff changes could affect the team's capacity to handle alerts efficiently. Expected answer: No major changes in staffing. Impact on approach: If staffing is stable, we'd look more closely at technical or process-related issues.
Why it matters: A surge in alerts could overwhelm the system or staff, leading to longer resolution times. Expected answer: Alert volume has remained relatively consistent. Impact on approach: If volume is stable, we'd focus on internal processes or system performance issues.
Why it matters: Changes in metric definition could lead to apparent performance drops without actual service degradation. Expected answer: The metric definition has not changed. Impact on approach: If consistent, we'd focus on actual performance issues rather than measurement discrepancies.
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