| Features | Standard | Advanced |
|---|
Identify bottlenecks and aging work items before they impact delivery timelines. | | |
Automatically classify work items by age into Green/Amber/Red zones to spot risk at a glance. | | |
Highlight work that isn’t moving to surface blockers, hidden queues, and “stuck” tickets early. | | |
Set aging thresholds and WIP targets to create a clear health monitor for teams and stakeholders. | | |
Track WIP and aging trends over time to confirm improvements and detect regressions fast. | | |
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 with Velocity, Burnup, Cycle Time, Throughput, Monte Carlo, and Cumulative Flow available in one place. | | |
Analyze delivery stability using averages, rolling averages, and configurable percentiles (50th, 85th, 95th, custom). | | |
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. | | |
