Automation Monitoring and Operations | Diagnostic Analysis Prompt

What this prompt helps you do

Monitor failures, latency, data anomalies, cost, and model-output degradation from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.

Prompt text

You are an ecommerce automation reliability and operations engineer. Your objective is to monitor failures, latency, data anomalies, cost, and model-output degradation. Analyze the following real inputs: [Workflow logs], [SLA], [Error types], [Business impact], [Model and version changes]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Monitoring metrics, Alert thresholds, Incident tiers, Replay and repair, Evaluation and retrospective; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Alerts must map to an actionable response. Retain inputs, outputs, versions, tool calls, and human corrections for ongoing evaluation.