Anomaly Detection & Alerting

Detect critical issues the moment they emerge

Detect anomalies in real time — sudden sentiment drops, volume spikes, or negative mentions of specific topics — and route alerts to Slack, email, Jira and more.

ANOMALY DETECTION

Identify and respond to incidents faster

Catch issues before they escalate. Automated anomaly detection identifies spikes and risks instantly — keeping your team aligned and ready to respond.

Anomaly detection

Intelligent AI models identify significant deviations from your baseline — automatically flagging what's changed.

Proactive monitoring

Stay ahead of issues across every feedback channel — app reviews, support tickets, social media, and more.

Slack notifications

Connect to Slack and trigger notifications when feedback volume spikes unexpectedly.

Jira integration

Send an alert to Jira in one click, so your product & engineering teams stay informed.

Close the loop

Mark as resolved — confirm the issue is fixed and keep your team aligned.

“With anomaly alerts and notifications on Slack, we can uncover any incidents or defects in specific properties and quickly assign guests to other apartments until the problems are solved on-site.”

Man with short dark hair and beard wearing a white shirt, smiling, standing outdoors near modern building.

Christian Seebacher

Head of Guest Relations

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ALERTS

Customize alerts your own way

Set up targeted alerts on any topic — from product quality issues to spikes in support volume. Configure thresholds, frequency, and channels to keep the right people informed.

Add your triggers

Trigger alerts when sentiment or volume crosses expected thresholds. Focus on specific themes, data sources, or segments.

Flexible & customizable

Fully configurable — add filters, segments, thresholds, and channels to tailor every alert to your exact monitoring needs.

Adjust frequency & sensitivity

Set how significant an issue needs to be before it triggers an alert, and how often you want to be notified.

Manage notifications

Automatically notify the right teams via email or Slack the moment Chattermill detects an unusual spike.

Designed for trust

Accurate, transparent data that's instantly verifiable. No second-guessing.

“Throughout the peak shopping season, anomaly alerts notified us about the issues literally within just 60 seconds. We could immediately see the feed of examples and fix the problem right away.”

Smiling man with short brown hair and beard wearing a navy sweater with white shirt collar.

Jonathan Beirne

Chief Customer Office

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"During the last season, all the carriers struggled with major disruptions. We set up anomaly alerts and monitored the sentiment for all the carriers daily. When customers were frustrated with one carrier, we could switch to another one.”