Introduction
The sudden increase in Octopus Energy's customer support ticket response time from 2 hours to 8 hours over the past week is a critical issue that demands immediate attention. This significant degradation in customer service performance could have far-reaching consequences for customer satisfaction, retention, and the company's reputation. 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 issues. Expected answer: Yes, a new CRM system was implemented. Impact on approach: If confirmed, I'd focus on system integration and data migration issues.
Why it matters: Staffing changes could directly impact response times. Expected answer: No significant changes in staffing. Impact on approach: If staffing is stable, I'd shift focus to process or technology factors.
Why it matters: Sudden increases in volume can overwhelm existing systems and processes. Expected answer: Ticket volume has increased by 30%. Impact on approach: If confirmed, I'd investigate the cause of the volume increase and capacity planning.
Why it matters: New features or promotions can lead to increased customer inquiries. Expected answer: A new energy-saving feature was launched last week. Impact on approach: If confirmed, I'd examine the feature's impact on customer behavior and support needs.
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