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Product Management Root Cause Analysis Question: Investigating Delivery Hero's on-time rate decline in Berlin

Why has the on-time delivery rate for Delivery Hero's grocery orders fallen below 80% in the Berlin market this week?

Data Analysis Problem-Solving Operational Strategy Food Delivery E-commerce Logistics
Data Analysis Performance Metrics Root Cause Analysis Logistics Optimization Delivery Operations

Introduction

The on-time delivery rate for Delivery Hero's grocery orders in Berlin falling below 80% this week is a critical issue that demands immediate attention. This metric is a key performance indicator for customer satisfaction and operational efficiency. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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. Has there been any significant product update or operational change in the past week?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a new routing algorithm was implemented. Impact on approach: If confirmed, I'd focus on technical issues related to the new system.

  • Considering user segments, I'm curious if this affects all order types equally. Are we seeing differences in on-time rates between, say, express and standard deliveries?

Why it matters: Helps isolate whether the issue is universal or specific to certain order types. Expected answer: Express deliveries are more affected than standard ones. Impact on approach: I'd investigate factors specific to express delivery processes.

  • Given the geographic focus, I'm wondering about external factors. Have there been any significant changes in Berlin's traffic patterns or road works this week?

Why it matters: External factors could explain citywide delivery delays. Expected answer: No major changes reported. Impact on approach: If confirmed, I'd shift focus to internal factors.

  • Thinking about operational capacity, has there been any change in the number of delivery personnel or their availability this week?

Why it matters: Staffing issues directly impact delivery capabilities. Expected answer: Slight decrease in available drivers. Impact on approach: I'd investigate workforce management and recruitment strategies.

  • Considering data integrity, I'm curious about our measurement systems. Has there been any change in how we track or calculate on-time deliveries?

Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes to measurement systems. Impact on approach: Confirms focus on actual performance, not data discrepancies.

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