Introduction
The on-time delivery rate for Delivery Hero's grocery orders in Berlin falling below 80% this week is a critical issue that demands immediate attention. This metric is a key performance indicator for customer satisfaction and operational efficiency. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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, a new routing algorithm was implemented. Impact on approach: If confirmed, I'd focus on technical issues related to the new system.
Why it matters: Helps isolate whether the issue is universal or specific to certain order types. Expected answer: Express deliveries are more affected than standard ones. Impact on approach: I'd investigate factors specific to express delivery processes.
Why it matters: External factors could explain citywide delivery delays. Expected answer: No major changes reported. Impact on approach: If confirmed, I'd shift focus to internal factors.
Why it matters: Staffing issues directly impact delivery capabilities. Expected answer: Slight decrease in available drivers. Impact on approach: I'd investigate workforce management and recruitment strategies.
Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes to measurement systems. Impact on approach: Confirms focus on actual performance, not data discrepancies.
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