JiraIssue TrackingIssue Resolution Rate
Issue Resolution Rate measures the number or percentage of Jira issues resolved within a given time period. It serves as a fundamental throughput metric that reflects the team's ability to close out work items across all issue types.
Jira metric
Issue Resolution Rate = Issues Resolved / Time Period
Issue Resolution Rate measures the number or percentage of Jira issues resolved within a given time period. It serves as a fundamental throughput metric that reflects the team's ability to close out work items across all issue types.
Full guide: definition, formula, and benchmarksHow to calculate Issue Resolution Rate
Issue Resolution Rate = Issues Resolved / Time Period
Why Issue Resolution Rate matters for Jira users
Resolution rate is the most direct measure of a team's ability to process and complete work. Tracking it over time reveals capacity trends, seasonal patterns, and the impact of team changes or process improvements.
For Jira teams, comparing resolution rate to issue creation rate determines whether the team is keeping pace with demand. A sustained gap between creation and resolution signals growing backlog pressure that needs to be addressed through prioritisation or resourcing.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Issue Resolution Rate with KPI Tree
KPI Tree calculates resolution rates from Jira issue status data in your warehouse, with breakdowns by issue type, component, and team. Place this in your throughput tree alongside sprint velocity.
Assign RACI ownership to team leads for resolution rate targets. Set alerts when resolution rates drop below historical averages or fall behind creation rates.
Get started with your Jira data
MCPPull metrics from Jira directly through the Model Context Protocol.
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Related Jira metrics Ready to add to your trees.
Sprint Velocity
Issue TrackingSprint Velocity = Total Story Points Completed per Sprint
Sprint Velocity measures the total story points or issue count completed by a team in each Jira sprint. It provides a rolling baseline of team capacity that is used for forecasting future delivery and calibrating sprint commitments.
View metricBacklog Health Analysis
Issue TrackingBacklog Health Analysis evaluates the overall quality and manageability of a Jira backlog. It considers factors such as issue age distribution, prioritisation consistency, estimation coverage, and the ratio of groomed to ungroomed items.
View metricIssue Age Distribution
Issue TrackingIssue Age Distribution analyses the age profile of open issues in Jira, categorising them into age brackets to reveal how much of the backlog is fresh versus stale. It tracks the number and proportion of issues in each age bracket over time.
View metricCycle Time
Issue TrackingCycle Time = Done Date − In Progress Date
Cycle Time measures the elapsed time from when work actively begins on a Jira issue (typically moving to "In Progress") to when it is marked done. It captures the actual working duration, excluding backlog waiting time, and is a key indicator of process efficiency.
View metricExplore Issue Resolution Rate across integrations
All Jira metrics
Backlog Health AnalysisBlocked Time PercentageCode Review Cycle TimeComponent Quality TrendsCross-Team Dependency AnalysisCycle TimeDefect DensityEpic Progress TrackingEscalation Pattern AnalysisFlow EfficiencyIssue Age DistributionLead TimePriority Distribution AnalysisRelease Burnup AnalysisSprint Burndown AnalysisSprint Commitment AccuracySprint Goal Achievement RateSprint VelocityStory Point Estimation AccuracyTeam Capacity UtilisationTeam Collaboration IndexTechnical Debt RatioUser Productivity AnalysisVersion Release Success RateWorklog AccuracyEmpower your team to understand and act on Jira data
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