grooming-jira-issues

Automate Jira backlog grooming by running structured triage and phased waves to classify findings and coordinate batch actions. This reduces manual triage time during large backlog audits by classifying issues into reshapes, rewrites, and migrations.

The best way to triage Jira issues after lint rule changes is to use a phase-based workflow that enforces lint scope rules and records outcomes for sign-off. This approach applies structured triage through Phase 0 to Wave 3, coordinating baseline snapshots and batch actions.

Backlog grooming works for planning cycles and rule changes by applying targeted campaigns with structured triage. It classifies findings into reshapes, rewrites, and migrations, coordinating phased workflows from baseline snapshots through wave-based actions to improve backlog hygiene.

The phased wave workflow handles Jira triage sign-off by requiring user confirmation on triage tables and campaign stop points. This documentation-driven approach preserves an auditable history of baseline snapshots and batch actions across Phase 0 through Wave 3.

You can classify Jira backlog findings into reshapes, rewrites, and migrations using structured triage. This classification guides appropriate batch actions within the phased wave workflow, ensuring coordinated campaigns during audits and planning cycles.