Epic 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.
Jira metric
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.
Full guide: definition, formula, and benchmarksHow to calculate Epic Progress Tracking
Epic Progress = (Completed Story Points / Total Epic Story Points) × 100
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.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
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.
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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 metric
Release Burnup Analysis
Issue TrackingRelease 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.
View metric
Sprint Goal Achievement Rate
Issue TrackingSprint 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.
View metric
Story Point Estimation Accuracy
Issue TrackingStory 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.
View metricExplore Epic Progress Tracking across integrations
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