The Real Cost of an Over-Allocated Government Developer
Over-allocating a government developer costs more than lost hours: missed commitments, context-switching, and late surprises. Here is how to find and fix it.
Over-allocating a government developer costs more than lost hours: missed commitments, context-switching, and late surprises. Here is how to find and fix it.
Convert velocity to points per available person-day, then map next quarter’s holidays and leave to forecast a defensible range for government teams.
A practical 4-step method for government teams to re-plan remaining sprint capacity when requirements change mid-cycle, with a worked example.
Planning poker is now built into Backlog Refinement, Sprint & Capacity Planning for Jira (7.1.0) and Sprint Planning, Capacity and Resource Planning for Jira (2.22.0): vote in secret, reveal together, and save the agreed estimate straight to Jira.
Put velocity, days-off, and allocation next to the backlog and one planning session replaces three spreadsheets. A five-step framework with a worked example.
Five sprint health metrics government PMOs can use to judge predictability, with a worked capacity example built on real availability.
How to calculate sprint capacity for hybrid and distributed government teams: available days, allocation, on-site obligations, and velocity per available day.
Story points or hours? For most government teams: points for work, person-days for capacity, velocity to connect them. A worked example and five steps.
Holidays, training, and leave quietly shrink a sprint. A five-step days-off framework and a 49-person-day worked example for government teams.
A five-sprint ramp for government teams new to agile: measure available days, compare plan to reality, and commit from real capacity.
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