Skip to main content
Consumer Brand

Real-Time Crisis Detection from Customer Signals

The Crisis Response Agent is designed to track velocity and toxicity across all channels.

Calculate Your ROI

A PR crisis starts on social media at 6 PM Friday. You find out on Monday morning. By then, it's too late.

The Crisis Response Agent is designed to track velocity and toxicity across all channels.

Here is how LoomPin turns scattered signals into one confident, human-approved decision.

The signals

Compound signals, not a single survey

Source
Detection
Flag
Social (X/Twitter)
Velocity spike: Mentions up 500% in 1 hour
Flagged: "Viral Anomaly"
Sentiment (Reddit)
Sentiment drops from Positive to Highly Negative
Flagged: "Toxicity Spike"
Support (Zendesk)
Influx of tickets about "billing error"
Flagged: "Operational Failure"

The insight

Crisis Anomaly: Modeling detects billing-related sentiment cluster.

The recommended action

Recommend a "War Room" Slack channel. Alert execs. Draft an apology statement for review.

A human approves before anything fires.

Target Outcome: Crisis containment within 4 hours. Faster reputation recovery.

LoomPin is in pilot with design partners. Target outcomes describe what the workflow is designed to achieve, not measured client results — we publish real outcome data only once it is measured by our outcomes ledger.

Real-Time Crisis Detection from Customer Signals — FAQ

The Crisis Response Agent is designed to track velocity and toxicity across all channels. It reads signals from sources like Social, Sentiment, Support, reasons over them, and recommends the next action for a human to approve.