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)
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.
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.
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.
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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