Introduction
Tesco's online grocery delivery service has experienced a 15% drop in on-time deliveries over the past month, indicating a significant disruption in their supply chain and customer satisfaction. This analysis will systematically identify, validate, and address the root cause of this issue, considering both immediate and long-term implications for Tesco's e-commerce operations.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct a root cause analysis, and propose a comprehensive resolution plan.
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 sudden changes in delivery performance. Expected answer: Order volume has 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: System changes often lead to unexpected performance issues. Expected answer: A new routing algorithm was implemented three weeks ago. Impact on approach: If true, we'd prioritize technical analysis and potential rollback strategies.
Why it matters: Staff changes can directly impact delivery efficiency and timeliness. Expected answer: No major changes in delivery staff. Impact on approach: If confirmed, we'd focus more on process and technology factors rather than human resources.
Why it matters: External logistics factors can significantly impact delivery times. Expected answer: Some major road works started in central areas last month. Impact on approach: If true, we'd need to consider route optimization and customer communication strategies.
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