> For the complete documentation index, see [llms.txt](https://docs.dbnl.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dbnl.com/v0.26.x/workflow/insights.md).

# Insights

An Insight is a human readable explanation and quantification of behavioral signals generated from unsupervised analysis of enriched logs as part of the [Data Pipeline](/v0.26.x/configuration/data-pipeline.md). Insights represent signals that the user can triage and refine through the [Explorer](/v0.26.x/workflow/explorer.md) or inspection of [Logs](/v0.26.x/workflow/logs.md) and track as [Metrics](/v0.26.x/workflow/metrics.md) or [Segments](/v0.26.x/workflow/segments.md).

Insights are one of three types:

* [**Temporal Insights**](#temporal-insights): Detected changes in the behavior of one or more Columns of log data.
* [**Segment Insights**](#segment-insights)**:** Detected clusters related to filters on Columns of log data that correspond to unique behavior.
* [**Outlier Insights**](#outlier-insights): Specific instances of log data that deviate from expected behavior.

<figure><img src="/files/jvE8a8TntiBAys8XuZJi" alt=""><figcaption></figcaption></figure>

### Temporal Insights

Temporal Insights correspond to changes or shifts in behavior related to one or more [Columns](/v0.26.x/configuration/data-pipeline.md#columns) (including [Metrics](/v0.26.x/workflow/metrics.md)). It is defined by a time split within a time window and an impacted Column. The time split represents a *before* and *after* in which the temporal insight was observed.

To investigate a temporal insight:

* View in [Explorer](/v0.26.x/workflow/explorer.md): Takes you to [Temporal Comparison](/v0.26.x/workflow/explorer.md#temporal-comparison) to view differences in Columns (including [Metrics](/v0.26.x/workflow/metrics.md)) across the time split.

To track a temporal insight:

* Create a [Metric](/v0.26.x/workflow/metrics.md): Capture the underlying behavior that led to the change in a custom Metric.

### Segment Insights

Segment Insights correspond to patterns in behavior related to one or more [Columns](/v0.26.x/configuration/data-pipeline.md#columns) (including [Metrics](/v0.26.x/workflow/metrics.md)). A segment is defined by a filter on one or more Columns that bifurcate the log data.

To investigate a segment insight:

* View in [Explorer](/v0.26.x/workflow/explorer.md): Takes you to [Segment Comparison](/v0.26.x/workflow/explorer.md#segment-comparison) in Explorer to view differences in Columns (including Metrics) between the segment and the rest of the log data.
* View [Logs](/v0.26.x/workflow/logs.md): Takes you to the Logs page with the Segment filter applied to view explicit examples of logs within the Segmnet.

To track a segment insight:

* Create a [Segment](/v0.26.x/workflow/segments.md): Capture the filter representing this Segment for future analysis and display on the Segments Dashboard.
* Create a [Metric](/v0.26.x/workflow/metrics.md): Capture the underlying behavior that represents this Segment in a custom Metric.

### Outlier Insights

Outlier Insights correspond to specific examples of large deviations in behavior related to one or more [Metrics](/v0.26.x/workflow/metrics.md). It is defined by a specific set of logs that represent this behavior.

To investigate a outlier insight:

* View [Logs](/v0.26.x/workflow/logs.md): Takes you to the Logs page with a filter applied to view explicit examples of outlier logs.

To Track a temporal insight:

* Create a [Metric](/v0.26.x/workflow/metrics.md): Capture the underlying behavior that led to the change in a custom Metric.