Introduction
Sendwave's customer support response time increase from 2 to 8 hours this quarter represents a significant decline in service quality. I'll systematically analyze this issue to identify root causes and propose solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minute)
Why it matters: Recent changes could directly impact response times. Expected answer: Yes, there was a major product update. Impact on approach: If yes, I'd focus on change management and system adaptation.
Why it matters: Staffing changes could explain the dramatic increase in response time. Expected answer: No major changes in team size or structure. Impact on approach: If no, I'd look more closely at process efficiency and ticket volume.
Why it matters: Changes in request complexity could affect response times. Expected answer: Some increase in complex technical issues. Impact on approach: If yes, I'd focus on training and knowledge base improvements.
Why it matters: Technical problems could artificially inflate response times. Expected answer: No major system issues reported. Impact on approach: If no, I'd focus more on process and human factors.
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