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Company focus

Gokada

Why has the average delivery time for Gokada's food delivery service increased by 20% in the past month?

Prepared by NextSprints

12 mins
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Data Analysis Problem Solving Strategic Thinking Food Delivery Logistics E-commerce User Experience Food Delivery Performance Metrics Root Cause Analysis Logistics Optimization
Product Management Root Cause Analysis Question: Investigating food delivery time increase for Gokada

Introduction

The recent 20% increase in average delivery time for Gokada's food delivery service is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, validate hypotheses, and propose targeted solutions to address the problem. We'll examine both internal and external factors, considering technical, operational, and user behavior aspects to develop a comprehensive understanding of the situation.

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 recent change in the system. Has there been any significant update to the delivery routing algorithm in the past month?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, there was an update to optimize routes. Impact on approach: If confirmed, we'd focus on algorithm analysis and potential rollback.

  • Considering user segments, I'm curious about order patterns. Have you noticed any shift in order volume or distribution across different areas of the city?

Why it matters: Changes in order patterns could strain certain delivery zones. Expected answer: There's been a 15% increase in orders from suburban areas. Impact on approach: We'd investigate delivery capacity in affected areas.

  • Thinking about external factors, I'm wondering about recent weather conditions. Has there been any unusual weather patterns affecting road conditions in the past month?

Why it matters: Adverse weather can significantly impact delivery times. Expected answer: There have been more rainy days than usual. Impact on approach: We'd factor in weather-related delays and potential mitigations.

  • Considering operational aspects, I'm interested in driver availability. Has there been any change in the number of active delivery drivers compared to the previous month?

Why it matters: Driver shortage could directly impact delivery times. Expected answer: Driver numbers have remained stable. Impact on approach: We'd shift focus to other factors if driver availability isn't the issue.

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Updated Nov 30, 2024