Introduction
The sudden 30% increase in customer support tickets related to delivery delays on Jumia is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to the surge in support tickets and propose actionable strategies to resolve the issue.
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: Recent changes could directly impact delivery performance. Expected answer: Yes, we switched to a new last-mile delivery partner two weeks ago. Impact on approach: If confirmed, we'd focus on investigating the new partnership's performance and integration.
Why it matters: Localized issues might indicate regional problems, while widespread issues suggest systemic challenges. Expected answer: The delays are primarily affecting urban areas in our top three markets. Impact on approach: This would lead us to examine urban-specific factors and potential capacity issues in high-volume areas.
Why it matters: Unexpected demand surges could overwhelm our delivery infrastructure. Expected answer: There was a 20% increase in orders due to a major promotional event last week. Impact on approach: We'd need to assess our capacity planning and ability to scale during high-demand periods.
Why it matters: Changes in communication could lead to increased inquiries if not clearly conveyed. Expected answer: We implemented a new order tracking system last month. Impact on approach: We'd focus on the user experience of the new system and its integration with our support channels.
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