Introduction
The unexpected 30% rise in reported sensor failures for Medtronic's Guardian Connect continuous glucose monitoring system this month presents a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term implications.
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 sudden performance shifts. Expected answer: Yes, a firmware update was rolled out two weeks ago. Impact on approach: If confirmed, we'd focus on the update's impact on sensor functionality.
Why it matters: Helps identify if the issue is universal or related to specific user characteristics. Expected answer: The increase is more pronounced in users over 60 years old. Impact on approach: If true, we'd investigate age-related factors affecting sensor performance.
Why it matters: Different failure types point to different root causes. Expected answer: There's been a spike in calibration errors. Impact on approach: This would direct our focus to the calibration process and related components.
Why it matters: Ensures we're not dealing with a data anomaly rather than an actual performance issue. Expected answer: No changes in measurement or definition. Impact on approach: Confirms we're dealing with a real increase in failures, not a reporting artifact.
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