Introduction
The on-time delivery rate for express packages in the Delhi NCR region has dropped by 15% over the past month for Delhivery. This significant decline in a key performance metric requires immediate attention and a thorough root cause analysis. I'll approach this issue systematically, considering various factors that could contribute to the problem while focusing on identifying the core reasons behind this performance drop.
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: Seasonal fluctuations could explain the performance drop and help us differentiate between systemic issues and temporary spikes. Expected answer: Order volumes have increased by 20% compared to last year. Impact on approach: If confirmed, we'd need to focus on scalability and capacity planning.
Why it matters: Local changes could disproportionately impact this region compared to others. Expected answer: New traffic regulations have been implemented in certain areas. Impact on approach: We'd need to adjust routing algorithms and delivery schedules accordingly.
Why it matters: Changes in our delivery capacity could directly impact on-time performance. Expected answer: No significant changes in fleet size or composition. Impact on approach: We'd need to look at other factors like route optimization or package handling processes.
Why it matters: Technical glitches could lead to misrouted packages or inaccurate delivery estimates. Expected answer: Some intermittent issues with the routing system have been reported. Impact on approach: We'd prioritize a technical audit and potential system upgrades.
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