Introduction
The recent decline in customer satisfaction with Zipline's medical supply deliveries in rural Ghana, from 95% to 80%, is a critical issue that demands immediate attention. This significant drop could impact the effectiveness of healthcare delivery and Zipline's reputation in the region. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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 changes could affect delivery logistics and timing. Expected answer: Rainy season has started earlier than usual. Impact on approach: Would focus on weather-proofing delivery systems and adjusting routes.
Why it matters: Changes in supply mix could affect delivery efficiency and satisfaction. Expected answer: Increase in temperature-sensitive vaccines due to a new immunization campaign. Impact on approach: Would investigate cold chain management and delivery prioritization.
Why it matters: New systems often have teething problems that could affect satisfaction. Expected answer: New drone model introduced with longer range but more complex operation. Impact on approach: Would focus on training, system optimization, and user education.
Why it matters: Changes in measurement could artificially deflate satisfaction scores. Expected answer: No changes in measurement, but increased communication about delivery ETAs. Impact on approach: Would investigate accuracy of ETA predictions and user expectations management.
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