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Product Management Root Cause Analysis Question: Investigating Glovo's on-time delivery rate decline in Madrid

Asked at Glovo

15 mins

Why has the on-time delivery rate for Glovo's restaurant orders fallen below 80% in Madrid this quarter?

Data Analysis Problem-Solving Operational Strategy Food Delivery Logistics Urban Mobility
Food Delivery Root Cause Analysis Urban Mobility Logistics Optimization Operational Efficiency

Introduction

The on-time delivery rate for Glovo's restaurant orders in Madrid falling below 80% this quarter is a critical issue that demands immediate attention. This metric directly impacts customer satisfaction, restaurant partnerships, and overall platform performance. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 seasonal factors at play. Has Madrid experienced any unusual weather patterns or events this quarter that could affect delivery times?

Why it matters: Seasonal changes can significantly impact delivery logistics. Expected answer: Information about recent weather conditions or events. Impact on approach: If confirmed, we'd need to factor in weather-related strategies.

  • Considering potential changes in demand, have there been any significant shifts in order volume or patterns compared to previous quarters?

Why it matters: Sudden changes in demand can strain existing delivery systems. Expected answer: Data on order volumes and patterns. Impact on approach: High growth might indicate need for capacity expansion.

  • Thinking about the delivery fleet, has there been any change in the number or composition of delivery partners recently?

Why it matters: Changes in the delivery workforce can directly impact on-time performance. Expected answer: Information on delivery partner numbers and turnover. Impact on approach: Workforce issues would require different solutions than technical problems.

  • Regarding system performance, have there been any recent updates to the order assignment or routing algorithms?

Why it matters: Technical changes could inadvertently affect delivery efficiency. Expected answer: Details of recent system updates or changes. Impact on approach: Technical issues would require collaboration with the engineering team.

  • Considering restaurant partnerships, have there been any changes in the number or type of restaurant partners in Madrid this quarter?

Why it matters: Changes in restaurant mix can affect preparation times and delivery complexity. Expected answer: Information on restaurant partner changes. Impact on approach: Partner-related issues might require different strategies than internal factors.

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