GCC
JC360 + Jira: Connecting Sprint Delivery to Workforce Intelligence
A GCC delivery team running Jira for project and sprint management used JC360 to correlate sprint output with actual employee productivity and capacity utilisation.
The Challenge
- ✕Jira tracked sprint output but had no view of individual or team productivity levels
- ✕Sprint velocity data existed but capacity utilisation behind it was invisible
- ✕Delivery heads couldn't answer: 'Is the team working at capacity or is there room?'
- ✕No way to correlate Jira ticket throughput with actual working hours and productive time
- ✕Capacity planning for sprints was based on historic velocity, not current team capacity data
How JC360 Helped
- JC360 productivity data correlated with Jira sprint data for unified delivery intelligence
- Individual and team capacity utilisation visible alongside sprint velocity
- Productive hours vs sprint output correlation - understand what's behind the velocity number
- Real capacity planning for sprint sizing: know actual availability, not assumed availability
- Delivery head dashboard combining Jira metrics with JC360 workforce intelligence
Results
Unified
Dev delivery + workforce intelligence in one view
Sprint
Capacity planning based on actual data, not assumption
Correlated
Productivity and Jira output data for the first time
Accurate
Utilisation data to inform sprint sizing decisions