From Spreadsheets to a Single Screen: Modernizing Capacity Planning in Jira
Retire the capacity spreadsheet and plan sprints where the work lives — inside Jira. A 5-step guide for government teams modernizing on Atlassian Cloud.
Cycle Time vs. Lead Time: The Distinction DevOps Teams Get Wrong
Cycle time, lead time, and DORA’s lead time for changes are three different clocks. Here’s the difference, with a worked Jira example.
Lead Time for Changes: How to Measure and Improve It (with Jira)
Lead time for changes is a core DORA metric — commit to production. What it means, what counts as good, and how to measure it in Jira.
DORA Metrics in Jira: A Practical Guide to the Four Keys (2026)
DORA metrics — deployment frequency, lead time for changes, change failure rate and recovery time — explained, with how to start measuring them in Jira.
A Sprint Planning Checklist for Government Scrum Masters
A repeatable sprint planning checklist for government scrum masters — verify a refined backlog, real team capacity, and one clear goal before you commit.
AI vs. Manual Planning: Which Is Better for Your Enterprise Agile Teams?
AI vs manual sprint planning is not winner-take-all. Here is where AI planning helps enterprise agile teams in Jira, where humans must stay in charge, and how to combine them.
The Hidden Cost of Manual Sprint Housekeeping: What CTOs Need to Know
Manual sprint management quietly taxes every team in Jira. Here is how to find the hidden cost of sprint housekeeping — and what to automate first.
Beyond the Burndown: Why Strategic Tech Leaders Focus on Throughput in 2026
The burndown chart answers a tiny question. In 2026, strategic tech leaders watch throughput vs burndown to understand real delivery capacity in Jira.
Does DORA Still Matter? How AI and Rovo Are Redefining Executive Insights in Jira
DORA metrics still matter in 2026 — but AI and Atlassian Rovo are changing how leaders read delivery data in Jira. Here is what to measure, and what context to add.
Backlog Refinement, Sprint & Capacity Planning for Jira Now Runs on Atlassian
Version 3.1.0 of Backlog Refinement, Sprint & Capacity Planning for Jira is rebuilt on Atlassian Forge. It now Runs on Atlassian and is Cloud Fortified — your backlog and planning data never leave Atlassian’s cloud.