When responders are heads down in a response effort, it is easy to lose context on whether similar incidents have occurred previously, or represent an entirely new problem never seen before. The Outlier Incident feature provides incident responders with immediate context on how often similar incidents occur on a specific service.
- From the Incidents page or a service’s detail page, click your desired incident’s Title to see its detail page.
- If an incident has been categorized as a frequent, rare or anomalous incident these details will appear below the incident title.
Outlier Incident uses data science techniques to dynamically map incidents to templates and determine how often each type of incident occurs on a service. The following labels are applied underneath the incident title on the incident details page:
- Frequent: Incident types representing 20% or more of all incidents in the preceding 30 days.
- Rare: Incident types representing 5% or less of all incidents in the preceding 30 days.
- Anomaly: Incident types that have not occurred on the service in the preceding 30 days.
For the purpose of determining which of the labels above to use, incident data from the 30 days prior to an incident’s trigger date is used.
Updated about 1 month ago