Earned Value Says the Program Is Behind. It Can’t Say When It Lands.
SPI 0.87 says you’re behind plan — not when you’ll land. Translate earned value and schedule variance into a committed release date on a live 50/85/95% confidence band in Jira.
SPI 0.87 says you’re behind plan — not when you’ll land. Translate earned value and schedule variance into a committed release date on a live 50/85/95% confidence band in Jira.
SAFe fixes the train’s departure date — so post-commitment erosion decides what’s on board instead. Keep the PI confidence vote live against a 50/85/95% band in Jira, and choose your scope in days, before the boundary chooses for you.
A premortem surfaces how your release could fail — scope, dependencies, capacity. Give that judgment a pulse: track it live against the committed date.
A change control board approves scope one small change at a time. Bring the live Monte Carlo confidence band into the meeting and price each approval in days — before the vote.
The planning fallacy isn’t proof your team can’t estimate — it’s a missing outside view. Forecast the committed release date from your team’s real Jira throughput, on a live 50/85/95% confidence band.
How to automate scrum ceremonies in Jira: automate the mechanics (sprint start/close, rollover, reminders) and keep the judgment human. A ceremony-by-ceremony map.
How to create a release plan in Jira in six steps: fix versions, scoped epics, velocity-based sprint math, dependency checks, and a forecast that updates itself.
Capacity vs velocity sprint planning is a false choice: velocity sets the ceiling, capacity corrects it for the sprint you actually have. Here’s how to run both in Jira.
Nobody schedules the meeting where the release date changes. It schedules itself — usually for the worst possible week, three...
A vague backlog item is optimism in disguise. How a working Definition of Ready protects the confidence vote — and how a live forecast catches the scope growth that gets through anyway.
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