JiraIssue TrackingLead Time
Lead Time measures the total elapsed time from when a Jira issue is created to when it is resolved. Unlike cycle time, lead time includes the time an issue spends waiting in the backlog before work begins, providing a customer-centric view of delivery speed.
Jira metric
Lead Time = Resolution Date − Creation Date
Lead Time measures the total elapsed time from when a Jira issue is created to when it is resolved. Unlike cycle time, lead time includes the time an issue spends waiting in the backlog before work begins, providing a customer-centric view of delivery speed.
Full guide: definition, formula, and benchmarksHow to calculate Lead Time
Lead Time = Resolution Date − Creation Date
Why Lead Time matters for Jira users
Lead time represents the customer's experience of delivery speed. While teams may focus on cycle time, customers and stakeholders care about how long it takes from requesting something to receiving it. Reducing lead time improves responsiveness and customer satisfaction.
For Jira teams, lead time analysis reveals the full delivery pipeline, including backlog wait. Often, the majority of lead time is spent waiting rather than working, highlighting opportunities to improve prioritisation and reduce batch sizes.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Lead Time with KPI Tree
KPI Tree calculates lead time from Jira issue lifecycle data in your warehouse. Place this above cycle time in your flow metrics tree to show the full customer-facing delivery timeline.
Assign RACI ownership to product managers for lead time management. Set alerts when lead time exceeds customer expectations or service level agreements.
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Related Jira metrics Ready to add to your trees.
Cycle 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 metricFlow Efficiency
Issue TrackingFlow Efficiency = (Active Work Time / Total Cycle Time) × 100
Flow Efficiency measures the ratio of active work time to total cycle time for Jira issues. It reveals what percentage of an issue's lifecycle is spent in value-adding states versus waiting states such as review queues, approvals, or blocked status.
View metricBlocked Time Percentage
Issue TrackingBlocked Time Percentage = (Time in Blocked State / Total Cycle Time) × 100
Blocked Time Percentage calculates the proportion of an issue's total cycle time spent in a blocked or impeded state in Jira. It quantifies how much delivery time is consumed by waiting rather than active work.
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 metricExplore Lead Time 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 DistributionIssue Resolution RatePriority 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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