Introduction
The sudden 50% increase in response times for SRM Technologies' IT support helpdesk last month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic 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: Seasonal patterns could explain the increase and inform our solution approach. Expected answer: No significant seasonal pattern observed in previous years. Impact on approach: If true, we'd focus more on recent changes or anomalies rather than cyclical factors.
Why it matters: Recent changes often correlate with performance issues. Expected answer: A minor software update was implemented two weeks prior. Impact on approach: If confirmed, we'd prioritize investigating the impact of this update.
Why it matters: Uneven distribution could point to specific problem areas. Expected answer: The increase is more pronounced in network-related issues. Impact on approach: We'd focus our investigation on network infrastructure and related support processes.
Why it matters: Changes in user demographics or product complexity could strain existing support systems. Expected answer: No major changes in customer base or product offerings. Impact on approach: We'd shift focus to internal factors and system capabilities.
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