Release planning, PI planning, and roadmap execution at scale in Jira.
Version 3.0 turns a release into a commitment you manage, attributes every date movement in days, and publishes Release Readiness reports natively to Confluence — without your Jira data leaving Atlassian.
A code freeze stops changes. It was never a promise about the date, because everything that eroded your committed release date happened before freeze day.
A release burndown chart is a record of where you’ve been, not a forecast of whether your committed date is safe. Here’s the question to ask instead, in Jira.
A release forecast is only as honest as the agile throughput behind it. See how to choose the throughput window your committed date should trust, and keep it live in Jira.
A release window commits to a date range that narrows as risk clears: a more honest promise than a single date. Here’s how to forecast and defend one in Jira.
Key Takeaways A release commitment carries a hidden number: the confidence in the date, not the date itself, and most...
A release date reading “Jun 7 · 85%” isn’t hedging: it’s calibration. How to read a release date confidence level in a review, and what to do at green, amber, or red.
Capacity rarely survives contact with a real sprint. Here’s how to track capacity risk against a committed release date in Jira, in days, in real time.
Detail-chasing is visible; release risk stays invisible until the date slips. Here’s how to make release risk management visible, dated, and attributable in Jira.
A moving forecast date isn’t a plan. Probabilistic release planning means committing to a target and confidence, baselining scope, and closing the loop.
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