KPI Tree

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.

LinearIssue Tracking

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

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

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

Query using MCP
MCP

Pull metrics from Linear directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Linear data already lands.

Professional Services
FivetranSnowflakedbt

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 Linear 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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