Separate Symptoms From Root Causes
Design automation alerts around user-impacting symptoms rather than speculative root causes.
Page on harm, investigate causes with context. Why it matters Root-cause alerts sound precise, but they are often brittle. They assume the team already knows why the automation will fail. Symptom alerts watch the effect that matters: stuck approvals, duplicate sends, payment mismatch, rising manual overrides, or high exception rates. This matches SRE guidance to page on clear failures and use cause-oriented signals as debugging aids. FMEA helps you define the symptom because it asks what the customer, employee, or downstream process experiences when the failure mode occurs. Once the symptom threshold fires, blast-radius controls and human override come first:…
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