LinearIssue TrackingTeam Velocity Analysis
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.
Linear metric
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.
Full guide: definition, formula, and benchmarksHow to calculate Team Velocity Analysis
Velocity = Total Estimate Points Completed per Cycle
Why Team Velocity Analysis matters for Linear users
Velocity is the foundation of delivery forecasting. Understanding not just the average velocity but its variability and trend direction enables progressively more accurate predictions about when work will be completed.
For Linear teams, velocity analysis goes beyond simple sprint-over-sprint numbers to understand the underlying factors driving throughput. It reveals whether velocity changes are due to team changes, process improvements, seasonal effects, or other factors, enabling appropriate responses.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Team Velocity Analysis with KPI Tree
KPI Tree calculates and analyses velocity from your Linear data warehouse, displaying trends and rolling averages. Place this at the core of your capacity tree, feeding into epic forecasting and roadmap progress metrics.
Assign RACI ownership to team leads for velocity awareness. Set alerts for significant deviations from the rolling average that may indicate process issues.
Get started with your Linear data
MCPPull 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 Ready to add to your trees.
Cycle Commitment Accuracy
Issue TrackingCommitment 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.
View metricEpic Completion Forecasting
Issue TrackingEpic Completion Forecasting uses historical team velocity data and remaining scope to predict when Linear projects and epics will be completed. It applies probabilistic models to provide a range of likely completion dates rather than a single point estimate.
View metricTeam Capacity Utilisation
Issue TrackingCapacity Utilisation = (Allocated Estimate Points / Available Capacity) × 100
Team Capacity Utilisation measures the proportion of available team capacity that is actively allocated to Linear issues. It compares the total estimated work assigned to the team against their available capacity, accounting for team size and any known availability constraints.
View metricFeature Delivery Cycle Time
Issue TrackingFeature Delivery Cycle Time = Delivery Date − Development Start Date
Feature Delivery Cycle Time measures the total elapsed time from when work begins on a feature in Linear to when it is delivered. It captures the full pipeline duration including development, review, testing, and deployment stages.
View metricExplore Team Velocity Analysis across integrations
All Linear metrics
Bug Escape RateCode Review Bottleneck AnalysisComment Collaboration RateCross-Team Dependency ImpactCycle Burndown RateCycle Commitment AccuracyDeveloper Workload BalanceEpic Completion ForecastingFeature Delivery Cycle TimeIntegration Impact AnalysisIssue Aging AnalysisIssue Priority Distribution AnalysisIssue Reopening RateIssue Resolution TimeLabel Work Classification AnalysisMilestone Delivery PredictabilityProject Health ScoreRoadmap Progress TrackingSeasonal Development PatternsTeam Capacity UtilisationTechnical Debt Accumulation RateUser Story Size ConsistencyWorkflow State Transition AnalysisEmpower 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.
