Dev
Jira
Project management platform used by software teams to plan, track, and ship work. Roiva syncs resolved issue data to measure engineering velocity and cycle time before and after AI tooling rollouts.
What gets synced
Roiva writes these metric observations on each sync. Reference the key in a value formula to use this data in your ROI calculations.
Issues
jira.issues.resolved_count
Resolved Issue Count
count
jira.issues.cycle_time_avg
Avg Cycle Time (hours)
duration
jira.issues.story_points_completed
Story Points Completed
count
Common use cases
- Track resolved issue count and cycle time before and after deploying an AI coding assistant
- Measure story point throughput as a proxy for engineering productivity
- Correlate Jira velocity trends with Copilot or Cursor adoption over time
- Use cycle time reduction as a leading indicator for AI-assisted development ROI
How to connect
- In Roiva: Click Continue to Authorize — you will be redirected to Atlassian to authorize
- In Atlassian: Select the Jira site you want to connect and grant read access. Roiva counts issues only in projects your Jira user can browse
- Back in Roiva: The connection page checks each step, including how many projects Roiva can see, and says what's missing. Once it's all ticked, click Test Connection
- Back in Roiva: Link this connection to an initiative on the Initiatives tab
Tips for capturing value
- Cycle time (hours from issue created to resolved) is the strongest leading indicator of AI coding assistant ROI
- Story points completed per month is a useful throughput signal if your team uses point estimates consistently
- Compare a 3-month baseline period against the 3 months after tool rollout for a clean before/after view
Jira
Start with the free AI ROI exposure assessment, then connect Jira once your workspace is set up.
Get your exposure report → Sign inRelated integrations