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Hybrid government teams break the usual capacity shortcuts. A four-step method — plus a worked example — for calculating real sprint capacity across telework, time zones, and split allocations.
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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.
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Points for sizing, person-days for capacity, connected by your team’s own ratio. A practical hybrid estimation model for government agile teams.
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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.
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A fresh worked example of days-off planning: Labor Day, Guard duty, and training deadlines turn 60 person-days into 40 — and how to commit accordingly.
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A premortem surfaces how your release could fail — scope, dependencies, capacity. Give that judgment a pulse: track it live against the committed date.
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A five-sprint onboarding plan for government teams new to agile: one planning habit per sprint, a worked capacity example, and a defensible record.
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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.
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A capacity commitment you can’t reconstruct is a liability. How to build a sprint decision trail that survives turnover — with a worked example.
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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.