Key Takeaways
- Time in Status, Cycle Time & Lead Time Reports for Jira surfaces lead time, cycle time, throughput, WIP, and work distribution as interactive charts from day one.
- A built-in Rovo AI agent translates flow metrics into plain-text insights, calling out anomalies and bottlenecks as soon as the dashboard loads.
- Metrics can be filtered by project, board, or JQL and exported to CSV, so reports match the exact scope a team cares about.
- System Stability measures the share of issues completed without rework, and Throughput tracks issues shipped per period, giving two signals for sustainable flow.
- Reports are available both as project pages and as Jira dashboard gadgets, with fully configurable workflows measured from any status.
Bring professional flow metrics to your Jira projects from day one. Time in Status, Cycle Time & Throughput for Jira surfaces lead time, cycle time, throughput, WIP, and work distribution on a ready-to-use board and fully configurable dashboard widgets, with a native Rovo AI agent that turns those metrics into plain-language insights the moment a chart loads.
Find delivery bottlenecks with AI-powered reports
Stop interpreting complex scatterplots. The built-in Rovo AI agent instantly translates your flow metrics into clear, plain-text insights, pointing out anomalies and bottlenecks as soon as the dashboard loads.
Time in Status, Cycle Time & Throughput
Track lead time, cycle time, throughput, WIP, and work distribution with interactive charts. Filter by project, board, or JQL, export to CSV, and use Rovo to get AI-powered insights that continuously improve team flow.
Measure team health and sustainable flow
Track delivery health in one view. System Stability measures the share of issues completed without rework, while Throughput tracks issues shipped per period, two essential signals for continuous improvement and a sustainable pace.
What you get
- Time in Status, Cycle Time, Lead Time, Throughput, WIP, System Stability, and aging charts, as project pages and dashboard gadgets.
- Fully configurable workflows: measure from any start state to any end state.
- Work type distribution with breakdowns by epic, label, and fix version.
- Filter by project, board, or JQL; export any report to CSV.
- Works across Jira Software and Jira Service Management.
- Runs on Atlassian (Forge) and Cloud Fortified, your data stays inside Atlassian’s cloud and is data-residency compliant.
Looking for setup details? See the user guide and documentation.
Related reading: Does DORA still matter? How AI and Rovo are redefining executive insights in Jira, why strategic tech leaders focus on throughput in 2026, and our complete guide to DORA metrics in Jira, plus a deep dive on lead time for changes and how to measure it in Jira.