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Product Management Root Cause Analysis Question: Gojek driver acceptance rates declining during peak hours

Asked at Gojek

15 mins

What's causing the sudden 30% decrease in driver acceptance rates for Gojek's GoCar rides during peak hours?

Data Analysis Problem-Solving Strategic Thinking Transportation Gig Economy Technology
Root Cause Analysis Ride-Hailing Gig Economy Driver Incentives Peak Hour Optimization

Introduction

The sudden 30% decrease in driver acceptance rates for Gojek's GoCar rides during peak hours is a critical issue that demands immediate attention. This significant drop could have far-reaching consequences for Gojek's service quality, user satisfaction, and market position. 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 this might be a recent change. When exactly did we start observing this 30% decrease?

Why it matters: Helps pinpoint potential triggers and narrows down the investigation timeframe. Expected answer: Within the last 1-2 weeks. Impact on approach: Recent changes would focus our investigation on recent updates or market shifts.

  • Considering the specificity of peak hours, I'm wondering if this is a localized issue. Are we seeing this decrease across all regions or is it concentrated in specific areas?

Why it matters: Helps determine if this is a systemic issue or localized problem. Expected answer: The issue is more pronounced in urban areas but present across regions. Impact on approach: A widespread issue might indicate a system-wide problem, while localized issues could point to regional factors.

  • Given the focus on peak hours, I'm curious about the overall trend. Has there been any change in driver acceptance rates during off-peak hours?

Why it matters: Helps distinguish between peak-specific issues and general driver behavior changes. Expected answer: Off-peak hours have seen a slight decrease, but not as significant. Impact on approach: A peak-hour specific issue might point towards capacity or incentive problems during high demand.

  • Considering potential system changes, have there been any recent updates to the driver app, pricing algorithm, or incentive structure?

Why it matters: Technical or policy changes could directly impact driver behavior. Expected answer: A minor update to the driver app was rolled out two weeks ago. Impact on approach: Recent changes would become a primary focus of our investigation.

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