Linear Metric
Issue Tracking
Commitment Accuracy = (Completed Committed Issues / Total Committed Issues) × 100
Cycle Commitment Accuracy measures the percentage of issues committed at the start of a Linear cycle that are completed by cycle end. It excludes work added mid-cycle to provide a clean measure of planning accuracy.
Cycle Commitment Accuracy
Cycle Commitment Accuracy measures the percentage of issues committed at the start of a Linear cycle that are completed by cycle end. It excludes work added mid-cycle to provide a clean measure of planning accuracy.
How to calculate cycle commitment accuracy
Why cycle commitment accuracy matters for Linear users
Accurate commitments build trust with stakeholders and enable reliable forecasting. Teams that regularly over-commit create a cycle of missed expectations, while those that under-commit leave capacity on the table. Tracking accuracy drives calibration over time.
For Linear teams, commitment accuracy is the primary indicator of planning maturity. Consistently improving accuracy demonstrates that the team is learning from past cycles, refining their estimation skills, and developing a realistic understanding of their capacity.
Understand and act on cycle commitment accuracy with KPI Tree
KPI Tree compares cycle start snapshots with end-of-cycle outcomes from your Linear warehouse data. Place this in your planning effectiveness tree, connected to velocity and burndown metrics.
Assign RACI ownership to team leads for commitment quality. Set alerts when accuracy drops below target thresholds over consecutive cycles.
Get started with your Linear data
Pull metrics from Linear directly through the Model Context Protocol.
Connect your existing warehouse where Linear 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 Linear metrics
Cycle Burndown Rate
Issue TrackingMetric Definition
Cycle Burndown Rate tracks the rate at which remaining work decreases during a Linear cycle. It compares the actual burndown trajectory against the ideal straight-line path, revealing whether the team is on pace to complete their cycle commitment.
Team Velocity Analysis
Issue TrackingMetric Definition
Velocity = Total Estimate Points Completed per Cycle
Team Velocity Analysis measures and analyses the amount of work completed per cycle by Linear teams. It tracks velocity trends, variability, and the factors that influence throughput to provide a reliable basis for capacity planning and delivery forecasting.
User Story Size Consistency
Issue TrackingMetric Definition
User Story Size Consistency analyses the distribution and variance of issue size estimates in Linear. It measures whether teams consistently break work into similarly sized pieces and identifies patterns of oversized or undersized stories that affect planning accuracy.
Milestone Delivery Predictability
Issue TrackingMetric Definition
Milestone Delivery Predictability measures the consistency with which Linear milestones and projects are delivered within their target dates. It tracks the variance between planned and actual delivery across milestones to assess organisational forecasting reliability.
All Linear metrics
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