release-verdict

Automate a GO/NO-GO release decision by evaluating Jira or Linear tracker data alongside GitHub CI to assess open defects, story completion, test coverage, and feature flags. This generates a structured Release Dossier with a data-backed shipping recommendation.

A go-no-go release verdict requires evaluating critical open defects, story completion rates, CI status, test coverage, feature flags, documentation changes, and rollback readiness. These hard operational thresholds determine the final shipping recommendation.

Yes, you can use Linear tracker data with GitHub CI to determine release readiness. The system applies both sources to assess open defects, story completion, and CI status, producing an evidence-based shipping decision report for stakeholders.

The best way to reduce release management meetings is automating release readiness evaluations with data-backed shipping guidance. By checking critical defects, CI status, and test coverage automatically, teams get a clear verdict without manual review sessions.

Yes, the release verdict process generates a structured Release Dossier. This evidence-based shipping decision report provides a clear recommendation tailored for both executives and engineers, ensuring stakeholders understand the production readiness status.

You should not use an automated release verdict when you lack access to tracker data from Jira or Linear, or when GitHub CI is not configured. The system depends on these inputs to evaluate hard operational thresholds and generate an accurate shipping recommendation.