Jira Metric
Issue Tracking
Technical Debt Ratio = (Technical Debt Story Points / Total Story Points) × 100
Technical Debt Ratio measures the proportion of engineering effort in Jira that is allocated to addressing technical debt, including refactoring, upgrading dependencies, and fixing architectural issues, relative to total development effort.
JiraIssue TrackingTechnical Debt Ratio
Technical Debt Ratio measures the proportion of engineering effort in Jira that is allocated to addressing technical debt, including refactoring, upgrading dependencies, and fixing architectural issues, relative to total development effort.
How to calculate technical debt ratio
Why technical debt ratio matters for Jira users
Technical debt is inevitable, but unmanaged debt compounds over time, slowing feature delivery and increasing defect rates. Tracking the ratio of debt work to feature work ensures that teams maintain a sustainable balance between innovation and maintenance.
For Jira teams, this metric provides an objective basis for allocating sprint capacity to debt reduction. It helps engineering leaders justify technical debt investments to product stakeholders by showing the relationship between debt levels and delivery speed.
Understand and act on technical debt ratio with KPI Tree
KPI Tree calculates technical debt ratio from Jira issue type and label data in your warehouse. Place this in your engineering health tree alongside defect density and component quality metrics.
Assign RACI ownership to tech leads for debt management strategy. Set alerts when the ratio falls outside the team's target range, either too high or too low.
Get started with your Jira data
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Related Jira metrics
Defect Density
Issue TrackingMetric Definition
Defect Density = Total Defects / Units of Work Delivered
Defect Density measures the number of defects found per unit of delivered work, such as per story point, per feature, or per release in Jira. It provides a normalised quality indicator that accounts for the volume of work delivered.
Component Quality Trends
Issue TrackingMetric Definition
Component Quality Trends analyses the volume and severity of defects and issues filed against specific Jira components over time. It identifies components with improving or deteriorating quality trajectories, guiding targeted investment in testing and refactoring.
Sprint Velocity
Issue TrackingMetric Definition
Sprint 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.
Cycle Time
Issue TrackingMetric Definition
Cycle 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.
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 RateLead TimePriority Distribution AnalysisRelease Burnup AnalysisSprint Burndown AnalysisSprint Commitment AccuracySprint Goal Achievement RateSprint VelocityStory Point Estimation AccuracyTeam Capacity UtilisationTeam Collaboration IndexUser Productivity AnalysisVersion Release Success RateWorklog AccuracyEmpower your team to understand and act on Jira data
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