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  • Home
    • Dependency Manager & Map for Jira – Links & Blockers
    • Time in Status, Cycle Time & Throughput for Jira
    • Jira Sprint Automation: Guides & Resources
    • Release & PI Planning in Jira: Guides & Resources
    • Backlog Refinement in Jira: Guides & Resources
    • Agile at Scale in Jira: Guides & Resources
    • Capacity Planning in Jira: Guides & Resources
    • Sprint Automation for Jira — Automatic Start, Close & Rollover
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08 Aug
0

The Definition of Done Is the Fine Print of the Confidence Vote

Posted by Rob Borges Release Planning

A loose Definition of Done re-opens scope after the vote: undone work returns as rework and quietly erodes the committed date. See the drift in days in Jira.

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07 Aug
0

Capacity Planning for Multi-Team (Scaled) Agile in Large Agencies (2)

Posted by admin Uncategorized

Per-team math, shared specialists as constraints, and bottom-up roll-ups: how large agencies plan capacity across multiple agile teams, with a worked example.

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06 Aug
0

The Project Management Triangle: The Vote Fixes It. The Weeks After Bend It.

Posted by Rob Borges Release Planning

The project management triangle — scope, capacity, time — is fixed by the confidence vote and bent by the weeks that follow. How to see each side move a committed release date, in days, in Jira.

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05 Aug
0

The RAID Log: The Register Is Fine. The Refresh Rate Isn’t.

Posted by Rob Borges Release Planning

A RAID log records risks, assumptions, issues and dependencies — as of the last edit. Why the R and the D go stale, and how to keep them live against a committed release date in Jira.

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05 Aug
0

Avoiding Overcommitment: The Hidden Cost of Optimistic Sprint Planning (2)

Posted by admin Uncategorized

Overcommitted sprints corrupt velocity data and erode leadership trust. Five guard-rails to commit to what your government team can actually deliver.

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05 Aug
0

Planning Sprints Around Federal Holidays, PTO, and Training Days (2)

Posted by admin Uncategorized

How government teams plan sprints around federal holidays, use-or-lose leave, and mandatory training — a five-step method with a worked example.

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04 Aug
0

Managing Technical Debt: The Quiet Tax on a Committed Release Date

Posted by Rob Borges Release Planning

Technical debt is a capacity change in slow motion — no calendar event, just throughput drifting down after the vote. How to see it move a committed release date in days, in Jira, and renegotiate before the slip.

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03 Aug
0

Crashing vs Fast-Tracking: Measure the Gap Before You Compress the Schedule

Posted by Rob Borges Release Planning

Crashing vs fast tracking: what each schedule compression move really costs, and how to size the gap — in days, against a 50/85/95% confidence band — before you pick a rescue.

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03 Aug
0

Velocity vs. Capacity: What Government Agile Teams Get Wrong (Part 2)

Posted by admin Capacity Planning

Velocity describes a roster that may no longer exist. How government teams hit by freezes and details should reset sprint commitments to real capacity.

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03 Aug
0

Scrum of Scrums: Make the Cross-Team Dependency Meeting Count

Posted by Rob Borges Sprint Planning

Scrum of scrums works when it runs on a live dependency map instead of status theater. A working agenda, the anti-patterns — and how Jira teams keep it to 15 minutes.

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  • Home
    • Dependency Manager & Map for Jira – Links & Blockers
    • Time in Status, Cycle Time & Throughput for Jira
    • Jira Sprint Automation: Guides & Resources
    • Release & PI Planning in Jira: Guides & Resources
    • Backlog Refinement in Jira: Guides & Resources
    • Agile at Scale in Jira: Guides & Resources
    • Capacity Planning in Jira: Guides & Resources
    • Sprint Automation for Jira — Automatic Start, Close & Rollover
  • Contact us
  • Privacy policy
  • Help center
  • Blog
  • Custom Atlassian Development