Introduction
The AeroScan X200 drone model from Aerobotics has experienced a concerning 15% decrease in battery life over the past month. This issue directly impacts the drone's operational efficiency and customer satisfaction. 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 firmware update was released 6 weeks ago. Impact on approach: If confirmed, we'd prioritize investigating the update's impact on power management.
Why it matters: Changes in usage could explain increased power consumption. Expected answer: No major changes reported in customer usage patterns. Impact on approach: If true, we'd focus more on technical aspects rather than user behavior.
Why it matters: Extreme temperatures can affect battery performance. Expected answer: Some regions experienced higher than average temperatures. Impact on approach: If confirmed, we'd investigate temperature impact on battery life and potential mitigation strategies.
Why it matters: Supply chain or manufacturing changes could affect battery quality. Expected answer: No recent changes in suppliers or processes. Impact on approach: If true, we'd shift focus away from supply chain issues to other potential causes.
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