Introduction
Ctrip's customer service call wait times have increased by 50% this month compared to last, indicating a significant disruption in their customer support operations. This issue could have far-reaching implications for customer satisfaction, retention, and overall business performance. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term impacts.
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 fluctuations could explain the increased wait times and help us determine if this is a temporary or recurring issue. Expected answer: Yes, there's been a 30% increase in bookings due to an upcoming holiday season. Impact on approach: If confirmed, we'd need to focus on scaling our customer service capacity during peak periods.
Why it matters: System changes could inadvertently cause inefficiencies or bugs leading to longer wait times. Expected answer: A new CRM system was implemented two weeks ago. Impact on approach: If true, we'd need to investigate potential issues with the new system and consider reverting or optimizing it.
Why it matters: Changes in staffing could directly impact wait times if not managed properly. Expected answer: There's been a 15% turnover in the past month, with new hires still in training. Impact on approach: If confirmed, we'd need to focus on accelerating training and potentially bringing in temporary support.
Why it matters: More complex issues could lead to longer call times, increasing overall wait times. Expected answer: There's been an increase in calls about a new feature launched last month. Impact on approach: If true, we'd need to improve self-service resources for the new feature and potentially adjust its design.
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