Introduction
The sudden 30% increase in customer support tickets related to Micro Focus's Data Protector backup solution this month presents a critical challenge that demands immediate attention. To address this issue effectively, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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 support ticket spikes. Expected answer: Yes, a minor update was released. Impact on approach: If yes, we'd focus on the update's features and potential issues.
Why it matters: Helps identify if the issue is localized or widespread. Expected answer: Tickets are primarily from enterprise customers. Impact on approach: If segmented, we'd tailor our investigation to that specific user group.
Why it matters: Identifies patterns in the reported problems. Expected answer: Most tickets relate to backup failures or slow performance. Impact on approach: This would guide our technical investigation focus.
Why it matters: External factors can sometimes drive internal metrics. Expected answer: No major industry changes noted. Impact on approach: If yes, we'd need to consider market dynamics in our analysis.
Why it matters: Ensures the metric increase isn't due to internal process changes. Expected answer: No recent changes to the support process. Impact on approach: If yes, we'd need to recalibrate our baseline metrics.
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