Resolution Time is one of the most essential metrics in Agile and ITSM environments. It reflects how efficiently your team resolves issues a core factor in customer satisfaction, SLA compliance, and internal performance tracking.
In this guide, you’ll learn:
What Resolution Time is and why it matters
Native ways to track it in Jira
Limitations of default reports
Pro tips and tools for advanced tracking
Resolution Time (also known as Time to Resolution) is the total amount of time it takes to fully resolve an issue — from creation to the moment it reaches a final “done” or “closed” status.
Formula:
Resolution Time = Time from Issue Created → Status Category “Done”
It includes all working and waiting time unless filtered otherwise.
Understanding and optimizing Resolution Time helps you:
Meet SLAs: Ensure you’re responding and resolving within agreed timelines.
Spot blockers: Identify bottlenecks in processes (e.g., QA delays).
Improve customer satisfaction: Faster resolution = happier users.
Drive internal improvements: Analyze which teams or projects struggle with long waits.
Support audits: Provide standardized reports on team performance.
By default, Jira issues include:
Created Date
Resolved Date
Time to Resolution (in some ITSM templates)
You can create calculated fields or custom dashboards to show:
“Time between Created and Resolved”
Issues without resolution dates (open tickets)
However, this view is very limited if you want detailed insights like:
Time in each status
Time between specific transitions
Outliers and trends over time
In Jira Service Management, you get built-in reports like:
Time to Resolution
SLA metrics per issue/request
But these are available only in specific templates, and:
Can’t be customized deeply
Don’t support Software projects
Don’t offer historical status change insights
To get real visibility, use marketplace apps that calculate time between specific status transitions. One of the most effective tools is:
Key Features:
Track Resolution Time (from any status to any “done” status)
Get cycle time, lead time, waiting time, and custom transitions
Build audit-ready reports (CSV, charts)
Works across Jira Software, Business, and ITSM projects
Example Use Case:
Track average Resolution Time across your support team
Compare Resolution Time per assignee or team
Measure how long issues stay in “In Progress” before closing
Define "Resolution" precisely
→ Use consistent statuses across projects (e.g., "Done", "Closed", "Resolved")
Set up SLA thresholds
→ Create alerts or dashboards for issues over threshold (e.g., > 48h)
Segment data
→ By issue type, priority, assignee, or label for deeper insights
Automate reporting
→ Use apps to export weekly/monthly reports
Combine with other metrics
→ Correlate with Cycle Time, Time in QA, or Time in Review to spot root causes
| Metric | Visualization |
|---|---|
| Average Resolution Time | Line chart (per week) |
| Outliers (> 5 days) | Filtered table |
| Median per team/project | Bar chart |
| Breakdown by priority | Pie chart |
❌ Tracking only Resolved Date without looking at time in statuses
❌ No historical tracking – Jira doesn’t store old status durations natively
❌ No segmentation – viewing overall metrics without context
❌ Relying on manual exports – which are slow and error-prone
Tracking Resolution Time in Jira is key to driving better performance, faster delivery, and happy stakeholders. While Jira gives a basic view, you’ll need additional tools like Time Metrics Tracker to unlock deep insights and automation.
✨ Want full visibility of your workflows and resolution metrics?
Try Time Metrics Tracker to build powerful reports with zero setup.
Valeriia_Havrylenko_SaaSJet
Product Marketer
SaaSJet
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