Introduction
The sudden drop in Prime Air delivery success rate to 85% is a critical issue that demands immediate attention. As we analyze this product challenge, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
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 root cause analysis, and propose a comprehensive resolution plan.
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 the new algorithm's impact on delivery routes and timing.
Why it matters: Metric changes can create false impressions of performance shifts. Expected answer: No changes to the metric definition. Impact on approach: If unchanged, I'd look deeper into operational factors affecting delivery success.
Why it matters: Extreme weather can significantly impact drone operations. Expected answer: Some increase in windy days, but within normal range. Impact on approach: If weather is a factor, I'd investigate wind resistance capabilities of our drones.
Why it matters: Different environments pose unique challenges for drone deliveries. Expected answer: Slight increase in rural deliveries. Impact on approach: If confirmed, I'd analyze our capabilities in rural areas and consider targeted improvements.
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