Root-Cause Analysis Under Uncertainty

# Perform Root-Cause Analysis Under Uncertainty Describe an incident or persistent defect where the initial symptoms had several plausible causes. Explain how you formed and prioritized hypotheses, what evidence ruled each one in or out, how you mitigated impact, and what corrective action prevented recurrence. ### Constraints & Assumptions - Focus on your analytical contribution and decision points. - Separate correlation from causal evidence. - Include the customer or business effect. - Cover both immediate mitigation and systemic prevention. ### Clarifying Questions to Ask - Should the example be a live incident or an offline quality problem? - How much diagnostic detail is appropriate? - May the final root cause involve more than one contributing condition? ### What a Strong Answer Covers - A precise symptom, timeline, and impact boundary - Ranked hypotheses and discriminating tests - Safe mitigation while investigation continued - Verified root cause, durable correction, and new detection ### Follow-up Questions 1. Which early observation was most misleading? 2. How did you know the final fix addressed cause rather than coincidence? 3. What monitoring would have detected the issue sooner? ```hint Look for evidence that separates hypotheses Choose tests whose outcomes differ under competing explanations, and preserve a timeline so changes can be connected to symptoms without relying on memory. ```