Segments
Saved filters on Log data for tracking
Segments are saved filters on Log data corresponding to a specific behavioral signal discovered manually or from an Insight.
All Segments are computed and published to the Segments Dashboard as part of the DBNL Data Pipeline and adapt future analytics by informing DBNL that the saved Segment is a meaningful bifurcation of the Logs data.
When to Create Segments
Create a segment when you've identified a meaningful behavioral pattern you want to track over time, such as:
Error conditions: Logs containing specific error types or failure patterns
High-value interactions: User sessions with purchases, conversions, or key actions
Quality issues: Low-scoring responses that need monitoring
User cohorts: Specific user groups (power users, new users, etc.)
Performance bottlenecks: Requests exceeding latency thresholds
Once saved, segments are automatically analyzed in future pipeline runs, generating dedicated metrics and appearing on dashboards.
Creating Segments
Segments can be created in three ways:
From an Insight that specifies a Segment corresponding to the behavioral signal observed
Manually from the Segments page on the sidebar
Segments can be modified or deleted from the Segments page on the sidebar.
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