Jira Metric
Issue Tracking
Epic Progress = (Completed Story Points / Total Epic Story Points) × 100
Epic Progress Tracking monitors the advancement of Jira epics by measuring the proportion of child issues completed, story points delivered, and time elapsed against planned timelines. It provides feature-level visibility into delivery progress.
JiraIssue TrackingEpic Progress Tracking
Epic Progress Tracking monitors the advancement of Jira epics by measuring the proportion of child issues completed, story points delivered, and time elapsed against planned timelines. It provides feature-level visibility into delivery progress.
How to calculate epic progress tracking
Why epic progress tracking matters for Jira users
Epics represent the feature-level commitments that matter most to stakeholders and customers. Without progress tracking, teams cannot provide reliable delivery forecasts, and stakeholders are left guessing about when features will be ready.
For Jira teams, epic progress tracking bridges the gap between granular sprint-level work and strategic feature delivery. It enables product managers to communicate realistic timelines and helps engineering leads identify epics that are stalling or growing beyond their original scope.
Understand and act on epic progress tracking with KPI Tree
KPI Tree aggregates epic child issue data from your Jira warehouse to calculate progress and forecast completion. Place this in your feature delivery tree, linking to sprint velocity for predictive analysis.
Assign RACI ownership to product managers for epic scope management. Set alerts when epic progress falls behind its expected trajectory.
Get started with your Jira data
MCPPull metrics from Jira directly through the Model Context Protocol.
Connect your existing warehouse where Jira data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Jira metrics
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.
Release Burnup Analysis
Issue TrackingMetric Definition
Release Burnup Analysis tracks the cumulative amount of work completed for a Jira release version over time, plotted against the total release scope. Unlike burndown charts, burnup charts also visualise scope changes, making them ideal for releases where requirements evolve.
Sprint Goal Achievement Rate
Issue TrackingMetric Definition
Sprint Goal Achievement Rate = (Sprints with Goal Achieved / Total Sprints) × 100
Sprint Goal Achievement Rate measures the percentage of sprints in which the stated sprint goal is achieved in Jira. Unlike commitment accuracy which focuses on scope completion, this metric evaluates whether the overarching sprint objective was met.
Story Point Estimation Accuracy
Issue TrackingMetric Definition
Story Point Estimation Accuracy compares the story points assigned to Jira issues at estimation time against the actual effort required, measured through cycle time or time tracking. It identifies systematic over- or under-estimation patterns across issue types and teams.
All Jira metrics
Backlog Health AnalysisBlocked Time PercentageCode Review Cycle TimeComponent Quality TrendsCross-Team Dependency AnalysisCycle TimeDefect DensityEscalation 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 IndexTechnical Debt RatioUser Productivity AnalysisVersion Release Success RateWorklog AccuracyEmpower your team to understand and act on Jira data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
