Anomalies
Setting Up Anomaly Detection
Automatically monitor your metrics and get notified when patterns deviate from normal behavior.
Anomaly detection requires a minimum of 30 days of time series data. Once enabled, it will run across all areas and opportunities.
Detection Types
Birdie offers two types of anomaly detection. Choose the one that fits the pattern you want to track.
Spike Detection
Identifies unusual spikes in a metric compared to a baseline period. Best for catching sudden, sharp increases in volume or frequency.
New Pattern Detection
Identifies when a metric's trend direction changes, for example from upward to downward movement. Best for detecting sustained shifts in behavior over time.
Creating an Anomaly Rule
Select the detection type
Under Detection type, choose one of the options:
Spike Detection monitors for unusual spikes in a metric compared to a baseline period. Best for catching sudden increases in volume.
New Pattern Detection monitors for changes in trend direction. Best for identifying sustained shifts in behavior.

Managing Anomaly Rules
Once created, anomaly rules appear in the Anomalies settings page.
Find by name: Use the search bar to locate a rule quickly.
Filter by type: Use the All types dropdown to filter by detection type.
If no anomaly rules appear, none have been configured yet. Click + Add new anomaly to create your first rule.
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