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OverviewDetection and prioritizationEvidence and casesCoverageIntegrations and API

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Crisis detection · 8 min

Building an Early Crisis Detection Workflow

By Sentinely Research · Reviewed by Sentinely Editorial · Updated 2026-07-24

Early crisis detection identifies a material change in public risk while the situation is still containable. Reliable workflows combine volume changes with severity, source quality, repetition, and likely harm. A spike alone is not a crisis, and a low-volume fraud claim can still require immediate action.

What baseline should teams establish?

Measure expected activity by topic, surface, market, and time period. Note predictable campaign peaks and recurring customer-service patterns. Baselines let teams distinguish an unusual change from ordinary seasonality.

Which changes should trigger review?

Review sudden velocity, a shift toward harmful intent, repeated claims across unrelated sources, high-reach amplification, or movement from discussion into payment and credential requests. Surface health must remain visible so a quiet feed is not mistaken for a quiet market.

What should an early-warning alert contain?

Include the changed metric, representative evidence, source cluster, likely harm, confidence, and why the threshold was crossed. The recipient should be able to verify the event without opening five disconnected dashboards.

When should a case escalate?

Define thresholds by consequence, not just reach. Fraud, public-safety misinformation, and credible impersonation can justify fast escalation at lower volume. Keep a human approval step and record who received the recommendation.

Related: Early crisis detection and Reputation monitoring.

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