KPI Tree

Jira Metric

Issue Tracking

Commitment Accuracy = (Completed Committed Points / Total Committed Points) × 100

Sprint Commitment Accuracy measures the percentage of committed sprint scope that a team actually delivers by the end of the sprint in Jira. It compares what was planned at sprint start against what was completed at sprint end, excluding work added mid-sprint.

JiraIssue Tracking

Sprint Commitment Accuracy

Sprint Commitment Accuracy measures the percentage of committed sprint scope that a team actually delivers by the end of the sprint in Jira. It compares what was planned at sprint start against what was completed at sprint end, excluding work added mid-sprint.

How to calculate sprint commitment accuracy

Commitment Accuracy = (Completed Committed Points / Total Committed Points) × 100

Why sprint commitment accuracy matters for Jira users

Predictable delivery is built on accurate commitments. Teams that consistently over-commit erode stakeholder trust, while teams that under-commit waste capacity. Commitment accuracy reveals whether planning processes and estimation skills are producing reliable forecasts.

For Jira Scrum teams, this metric is the primary indicator of planning maturity. Tracking it over time shows whether the team is learning from past sprints and adjusting their commitments to better match their actual capacity.

Understand and act on sprint commitment accuracy with KPI Tree

KPI Tree calculates commitment accuracy from Jira sprint start and end snapshots in your warehouse. Place this in your planning effectiveness tree, connected to velocity and estimation accuracy metrics.

Assign RACI ownership to scrum masters and product owners jointly. Set alerts when commitment accuracy drops below acceptable thresholds over consecutive sprints.

Get started with your Jira data

Query using MCP
MCP

Pull metrics from Jira directly through the Model Context Protocol.

Data Warehouse
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Connect your existing warehouse where Jira data already lands.

Professional Services
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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.

Empower 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.

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