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Product Management Root Cause Analysis Question: Investigating sudden increase in customer service calls about JD.com delivery delays

What's causing the sudden 30% increase in customer service calls related to delayed deliveries in JD.com's Beijing region?

Problem-Solving Data Analysis Strategic Thinking E-commerce Logistics Retail
E-Commerce Data Analysis Root Cause Analysis Customer Service Logistics

Introduction

A sudden 30% increase in customer service calls related to delayed deliveries in JD.com's Beijing region is a critical issue that demands immediate attention. This surge in customer complaints not only impacts customer satisfaction but also strains our support resources and potentially damages our brand reputation. To address this problem, I'll employ a systematic approach to identify the root cause, validate our findings, and develop both short-term and long-term solutions.

My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by a thorough examination of potential causes, data analysis, and hypothesis formation. We'll then validate our findings and outline a comprehensive plan to resolve the issue and prevent future occurrences.

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 this could be a recent change. When exactly did we start noticing this increase in customer service calls?

Why it matters: Pinpointing the timeframe helps us correlate the issue with potential changes or events. Expected answer: The increase started about two weeks ago. Impact on approach: A sudden onset might indicate a specific trigger event, while a gradual increase could suggest a systemic issue.

  • Considering the specificity to Beijing, I'm wondering if this is a localized issue. Are we seeing similar increases in other regions, or is this unique to Beijing?

Why it matters: This helps us determine if we're dealing with a local or potentially broader problem. Expected answer: The issue appears to be specific to Beijing. Impact on approach: A Beijing-specific problem would narrow our focus to local factors, while a wider issue would require a more comprehensive investigation.

  • Given the nature of the complaints, I'm curious about the delivery process. Has there been any recent change in our last-mile delivery partners or processes in Beijing?

Why it matters: Changes in delivery partnerships or processes could directly impact delivery times. Expected answer: We switched to a new last-mile delivery partner in Beijing three weeks ago. Impact on approach: This information would shift our focus to examining the new partnership and its implementation.

  • Considering potential system issues, I'm wondering about our order tracking system. Have we made any updates to our order tracking or customer notification systems recently?

Why it matters: System changes could lead to miscommunication or false expectations about delivery times. Expected answer: No recent changes to these systems. Impact on approach: This would rule out system updates as a primary cause and direct our attention elsewhere.

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