Completed features sitting in Done columns represent delivered value trapped before reaching users—each day delayed is ROI lost.
GitScrum provides visibility into this deployment backlog through workflow state analytics. Workflow columns with state=closed (Done) show tasks that are code-complete but may not be deployed.
Project analytics display task counts per workflow column, revealing accumulation in Done states. Sprint KPIs track velocity—tasks completed—but dashboard comparison with actual deployments highlights the gap.
Task export includes workflow state, enabling analysis of how long items sit in Done before deployment. Auto-archive settings can be configured to flag tasks lingering too long in Done columns, surfacing deployment delays.
Labels like 'needs-deploy' or 'awaiting-release' can tag work ready for production, creating filterable views of the deployment queue. The activity heatmap shows when Done column activity spikes without corresponding deployments.
The GitScrum Advantage
One unified platform to eliminate context switching and recover productive hours.









