Insights

Realtime analytics for all your Linear data. Visualize issue data to spot trends and remove blockers.

Overview

Insights turns your Linear issues into a dataset you can analyze to better understand how you work. Use Insights to answer questions like:

What projects take up the most resources?
How quickly do you fix bugs?
How consistently do you prioritize issues?
Do you estimate accurately?

Insights is available on Linear's Enterprise plan.

Configure

Most views in Linear have an Insights panel in the righthand sidebar, which you can open with Cmd/Ctrl I. Find Insights in Views as well as team, project, and cycle views.

Insights works best with workspace-level Views

The best place to use Insights is in custom Views that are shared at the Workspace level. They offer the most flexibility and power, since you can access issue data from all teams and filter across any property (e.g. Label, Assignee, Project) in your workspace.

Examples

The best way to learn how Insights works is to try it. We’ve built an in-app Help Center that walks you through common use cases. You can view instructions on how to create these examples or select a button to apply the example to your current view.

Access the Help Center by selecting the … icon from the Insights panel and selecting Insights examples

Create Insights

Apply filters

Insights will offer analytics for all the issues in the view you’re currently looking at. Add or remove filters to change which issues are included in the dataset. The following filters can be especially helpful when creating Insights.

Filter	Why it's helpful for Insights
Created at	Limits issues to those created during a certain timeframe
Completed at	Limits issues to those completed within a certain timeframe
Status Type	Works across teams (even if Statuses are named differently)
Label, Project, Team	Refines large views to most relevant issues

To include Archived issues in your Insights analysis, open the Insights options (to the left of the three dot menu, just above the Segment dropdown) and toggle on Show archived issues. From there you can also filter out issues without a priority assignment.

Select Insights Parameters

From the dropdown, choose the Measure and Slice for your Insight. This will generate a graph and table showing the data, with the Measure along the y-axis and Slice along the x-axis. Segments are optional and use color to slice the data further.

Values for Measure, Slice, and Segment vary depending on what issues are displayed in your view.

Measure	What is it?	Type of graph	Automatic filters
Issue count	Total number of issues	Bar	None
Effort	Total estimate value	Bar	None
Cycle Time	Time from issue start to completion	Scatterplot	Only plots completed issues
Lead Time	Time from issue creation to completion	Scatterplot	Only plots completed issues
Triage Time	Time issue spent in Triage status	Scatterplot	Only plots Triaged issues
Issue Age	Time since issue creation	Scatterplot	None

Graph Interactions

Insight graphs are interactive, so that you can play with the dataset to learn more or focus on a specific type of issue.

Bar graph

Hover over each bar to see data and percentile breakdowns.
Select full bars or segments to temporarily filter your view to only those issues.
Hovering or selecting bars or segments will highlight related data in the table below the graph.

Scatterplot

Hover over the graph to see markers indicating that the data below the line represents 25%, 50%, 75%, and 95% of issues plotted.
Select percentile markers to zoom in or out along the y-axis.
Hover over points to see the issue details including the issue name, ID, and slice and segment values. This will also highlight related data in the table below the graph.
Select points to go to open the related issue.

Burn-up charts

Burn-up charts, or cumulative flow diagrams show how streams of work have changed over time. Unlike other insights, burn-up charts display your historical issue data so you can analyze and detect patterns across specific time windows.
By default, burn-up charts show data in monthly increments. Adjust insights settings to plot the data week over week, or to include archived issues.
When applicable, select Burn-up under the Slice menu to visualize your data in this style.

Table (below graph)

Hover over row or specific cell to see corresponding data in graph
Select row, column, or cell to temporarily filter issue view to only those issues

Share Insights

Select the three dot menu on the top right of the Insights panel to share your Insight.

Copy a link, which can be viewed by anyone else in your workspace
Export to CSV, to explore the data outside of Linear

Full Screen view

Insights can be opened in Full Screen view by selecting the expand button (just above the Segment dropdown). This gives you more room to explore the graph and table data.

Asks

SLAs