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)
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.
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.
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.
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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