SumMap: Visualize & roll-up large project & epic structures

for Jira Cloud
22 installs
  • Supported
  • Jira Service Management
  • Jira

Sum up your Project’s and Epic's Time Spent, Estimates, Time Remaining, Story Points and Progress including all tasks and subtasks

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Simplify complex analysis for actionable insights

Analyse and sum up your issue data by multiple properties, e.g. quickly assess the time spent per priority level, balance task distribution among teams, and track implementation progress - all in one visualization.

Epic Cockpit

Next to the stand-alone view, use SumMap in your epic screens to assess at a glance the total effort and status of work right down to each included sub-tasks. No more navigating back and forth between issues.

Dashboard Gadget

For constant monitoring add your most important SumMap views as gadgets to your Jira dashboards. The gadgets update every 15 minutes, making sure that you always have an up-to-date picture.

More details

Visualize thousands of issues

Group your data by arbitrary issue values or hierarchy

Save and re-use your configurations

Add any Jira fields to the visualization or the tooltip to explore data in detail.

Drill down into issues by zooming, panning, and filtering.

Open a Jira modal to access and edit an issue on-the-fly.

Works in all modern browsers

Supports theming

Provides automatic color-coding for categorical and continuous data

Privacy and security

Privacy policy

Atlassian's privacy policy is not applicable to the use of this app. Please refer to the privacy policy provided by this app's partner.

Partner privacy policy


Integration Details

SumMap: Visualize & roll-up large project & epic structures integrates with your Atlassian product. This remote service can:

  • Read Jira project and issue data, search for issues, and objects associated with issues like attachments and worklogs.
  • Read and write to app storage service


Parent / child hierarchy of 5 projects. SumMap efficiently scales to thousands of issues (> 2.000 in this case) to reveal hidden patterns, value distribution and outliers.