| Features | Standard | Advanced |
|---|
Measure completed value over time to assess actual system capacity, sliced by any Jira field. | | |
Define what counts as “done” and how items are counted, so the metric matches your workflow and reporting rules. | | |
Break down bars by any Jira field (team, component, assignee, issue type, etc.) to see where capacity is spent. | | |
Overlay SLA bands on the distribution to instantly see when the pace of work meets expectations. | | |
Use the same analytics engine across Jira Software, Jira Product Discovery, Jira Service Management, and Confluence. | | |
Use data from Scrum, Kanban, Jira Spaces, Cross-Releases, multi-select Epics, dynamic Epic lists, hierarchies, or custom JQL filters. | | |
Aggregate multiple Jira boards or other data sources into consolidated cross-team analytics. | | |
Run analytics across issue hierarchies—epics, initiatives, and parent/child structures—to understand delivery progress at every level. | | |
Slice delivery metrics by any Jira field without using external BI tools. | | |
Configure all charts from a unified interface instead of searching multiple gadgets. | | |
Generate ready-to-use charts instantly while retaining advanced configuration options. | | |
Use the app on the space page to discover breakdowns and metrics during review and planning sessions without leaving the work context. | | |
Analyze delivery stability using averages, rolling averages, and configurable percentiles (50th, 85th, 95th, custom). | | |
Add visual health indicators to dashboards for executive reporting. | | |
A focused live walkthrough to help your team configure the right charts and metrics from day one. | | |
Guaranteed response window and accelerated fixes for production-critical issues. | | |
Tailored expert-led demo, onboarding, and best-practice sessions for delivery teams and stakeholders. | | |
Hands-on support for Server/DC → Cloud transitions, configuration alignment, and data validation. | | |
