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Company focus

Gojek Tech

How did Gojek Tech's GoRide motorcycle taxi bookings decline by 25% in Jakarta last week despite stable weather conditions?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Transportation Technology Urban Mobility Root Cause Analysis User Behavior Ride-Hailing Market Dynamics App Performance
Product Management Root Cause Analysis Question: Investigating sudden decline in Gojek's GoRide bookings in Jakarta

Introduction

Gojek Tech's GoRide motorcycle taxi bookings in Jakarta experienced a significant 25% decline last week, despite stable weather conditions. This unexpected drop in a core service warrants immediate attention and a thorough root cause analysis. I'll approach this issue systematically, examining both internal and external factors to identify the underlying cause and develop effective 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 there might be a specific event or change that triggered this decline. Has there been any recent product update or policy change for GoRide?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Information about recent updates or changes. Impact on approach: If there's a recent change, we'll focus on its effects; if not, we'll look at longer-term trends.

  • Considering the scale of the decline, I'm wondering about the competitive landscape. Have there been any significant moves from competitors in the past week?

Why it matters: Competitor actions could explain user shift. Expected answer: Information on competitor activities. Impact on approach: Strong competitor moves would shift focus to market positioning and user retention strategies.

  • Given the stable weather, I'm curious about any changes in traffic patterns or road conditions. Have there been any major infrastructure changes or events affecting Jakarta's traffic?

Why it matters: Changes in traffic could impact service efficiency and user preference. Expected answer: Information on traffic conditions or events. Impact on approach: Significant changes would lead us to examine our routing algorithms and ETA calculations.

  • Thinking about our user base, I'm interested in the breakdown of this decline. Is the 25% drop uniform across all user segments, or is it more pronounced in specific groups?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: Breakdown of decline across user segments. Impact on approach: Segment-specific issues would lead to targeted solutions, while uniform decline suggests a broader problem.

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Updated Jan 22, 2025