Engineering & Jira analytics
Dataventra Work
Turn Jira activity into delivery insight.
Work turns Jira data into a clear view of engineering effort — hours by developer and project, estimated vs actual, sprint performance, capacity and delivery trends.
Sprint 24 · Committed
58 pts
Sprint 24 · Completed
51 pts
Sprint 24 · Capacity used
87%
Estimated vs actual hours
- Estimated
- Actual
| Project | Hours | Estimated | Actual | Variance |
|---|---|---|---|---|
| Warehouse modernisation | 320h | Actual 356h | +11% | |
| SSIS migration | 240h | Actual 228h | -5% | |
| Power BI rollout | 180h | Actual 205h | +14% | |
| Data-quality framework | 120h | Actual 118h | -2% | |
| Platform support | 160h | Actual 190h | +19% |
The problem
Every project is 'on track' until it isn't. The data to see it coming was in Jira all along — it just never became a report.
Questions Work answers
- Which projects are consistently running over estimate?
- How is each developer's time split across projects this month?
- Is our sprint completion rate improving or declining?
- Do we have the capacity to take on the next engagement?
Capabilities
What Work does
- 01
Effort & allocation
Hours by developer, team and project, so you can see where engineering time actually goes.
- 02
Estimated vs actual
Compare estimates with logged effort by project, epic and issue type to improve future planning.
- 03
Sprint performance
Committed vs completed, carry-over and scope change across sprints — trends, not snapshots.
- 04
Capacity & delivery trends
Team capacity against demand, and delivery trends over time, for resourcing decisions grounded in data.
Other Dataventra solutions
See Work against your own environment.
We'll walk through how it maps to your systems, what setup involves and what you'd see in the first weeks.