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Product Management Root Cause Analysis Question: Investigating driver cancellations in ride-hailing during peak hours

Asked at Gojek

15 mins

What's causing the sudden 30% increase in driver cancellations for Gojek's GoCar rides during peak hours?

Data Analysis Problem-Solving Strategic Thinking Transportation Gig Economy Technology
Data Analysis Root Cause Analysis Ride-Hailing Driver Retention Surge Pricing

Introduction

The sudden 30% increase in driver cancellations for Gojek's GoCar rides during peak hours is a critical issue that demands immediate attention. This problem directly impacts user experience, driver satisfaction, and overall platform efficiency. To address this complex challenge, 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 this might be a recent change. When exactly did you first notice this 30% increase in cancellations?

Why it matters: Pinpointing the timeframe helps identify potential triggers and correlations. Expected answer: Within the last 1-2 weeks. Impact on approach: A sudden change suggests a specific event or update as the cause, while a gradual increase might indicate a systemic issue.

  • Considering the focus on peak hours, I'm curious about the overall cancellation rates. Has there been any change in cancellations during off-peak hours?

Why it matters: This helps determine if the issue is specific to peak hours or a broader problem. Expected answer: Off-peak cancellations have remained stable. Impact on approach: If only peak hours are affected, we'll focus on factors unique to high-demand periods.

  • Given the impact on both drivers and riders, I'm wondering about user feedback. Have you noticed any patterns in complaints or feedback from either drivers or passengers recently?

Why it matters: User feedback can provide qualitative insights into the quantitative data. Expected answer: Drivers have reported issues with traffic and low fares during peak hours. Impact on approach: This would guide us to investigate pricing models and traffic management systems.

  • Thinking about recent changes, have there been any updates to the driver app, pricing algorithm, or incentive structure in the past month?

Why it matters: Recent changes could be directly linked to the increase in cancellations. Expected answer: A new surge pricing model was implemented two weeks ago. Impact on approach: This would shift our focus to analyzing the impact of the new pricing model on driver behavior.

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