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Product Management Root Cause Analysis Question: Investigating increased customer service wait times at Ctrip

Asked at Ctrip

12 mins

Why are Ctrip's customer service call wait times 50% longer this month compared to last month?

Data Analysis Problem Solving Operational Strategy Travel E-commerce Customer Service
Root Cause Analysis Travel Tech Customer Service Operational Efficiency CRM Implementation

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)

  • Looking at the timing, I'm thinking there might be a seasonal factor at play. Has there been a significant increase in travel bookings or inquiries during this period?

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.

  • Considering potential internal changes, have there been any recent updates to the customer service system or processes?

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.

  • Thinking about staffing, has there been any significant change in the customer service team's size or composition recently?

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.

  • Considering user behavior, have you noticed any changes in the types of inquiries or issues customers are calling about?

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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