This page collects the Timepiece - Time in Status articles that use Jira Automation. Each one pairs a saved Timepiece report (Parameter Set) with a Jira Automation rule that executes it through the "Timepiece: Run Report" action and then acts on the returned status duration data — commenting on work items, transitioning them, setting fields, or passing the data to an AI agent. Together they cover auto-closing stale resolved issues, writing cycle time onto work items, SLA breach notifications, due date and Original Estimate prediction, AI-assisted blocker analysis, and logging and debugging the rules themselves.
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How to Auto-Close Issues Left in the "Resolved" Status Based on Time in Status Data -
How to Auto-Comment Cycle Time on Resolved Issues via Jira Automation? -
How to Build an AI-Powered Blocker Analyzer Using Timepiece Data and Jira Automation -
How to Predict Due Dates Using Historical Status Duration Data -
How to Send SLA Breach Notifications for Unresolved Issues via Timepiece Integration -
How to Set Original Estimate Field Using Timepiece Status Duration Data -
How to Log and Monitor Timepiece Actions in Jira Automation