0
Earning one Atlassian trust signal is hard. Three of our Jira Cloud apps now hold both Runs on Atlassian and Cloud Fortified at the same time: here’s why that’s a big deal for your data and your delivery.
0
The latest update to Sprint Automation for Jira Cloud makes the Application logs page more useful: your sort order is remembered, you can export any log table to CSV or JSON, and sprint lifecycle events now appear in the audit trail.
0
In government agile, overcommitting costs more and recovery room is smaller. Here’s why capacity planning — not just sprint planning — deserves a front seat, with a practical five-habit framework and a worked example.
0
Story-point estimates are forward-looking guesses. A statistical, retrospective approach forecasts your agile release date from your team’s real past throughput, and it’s a far more honest number to hand a stakeholder.
0
Jira Align aligns strategy to execution across your portfolio. See how Release Planning for Jira complements it, adding probabilistic, capacity-aware release dates you can actually commit to.
0
Key Takeaways Release Planning 2.9.0, the Enterprise Portfolio Update, extends Release Management, Roadmaps, Portfolio PPM & Timeline from single-release forecasting […]
0
Key Takeaways A hidden dependency derails a release faster than anything, so when multiple teams work toward a shared Fix […]
0
Key Takeaways Velocity is a vanity metric: story points are subjective and inflate under pressure, so a chart reading 42 […]
0
Key Takeaways The One-Blocker Chain is the invisible string of cross-team dependencies that collapses a release date weeks after everyone […]
0
Key Takeaways Real predictability is about probability, not a single number: measure cycle time as p50 (a coin flip), p85 […]