Introduction
The sudden increase in Swing Education's customer support response time from 2 hours to 6 hours over the past week is a critical issue that demands immediate attention. This tripling of response time could significantly impact customer satisfaction, retention, and the overall effectiveness of our support system. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
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 performance shifts. Expected answer: Yes, a new ticketing system was implemented. Impact on approach: If confirmed, I'd focus on system-related hypotheses.
Why it matters: Volume spikes can overwhelm even well-functioning systems. Expected answer: Ticket volume has increased by 30% in the past week. Impact on approach: I'd investigate causes of increased demand and capacity issues.
Why it matters: Staff changes can directly impact response times. Expected answer: Three team members are on unexpected leave. Impact on approach: I'd explore staffing solutions and workload distribution.
Why it matters: Metric definition changes can create false alarms. Expected answer: The calculation method hasn't changed. Impact on approach: I'd focus on actual performance issues rather than measurement discrepancies.
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