Analyze your Jira data alongside other business metrics.
Prerequisites
Requirements
- Jira Cloud account (not Server/Data Center)
- Admin access to Jira
- clariBI Professional+ plan
Connection Setup
Step 1: Initiate Connection
- Navigate to Data Sources > Add New
- Select Jira Integration
- Click Connect to Jira
Step 2: Atlassian Authorization
- Log in to your Atlassian account
- Review permission requests
- Authorize clariBI access
- Return automatically
Step 3: Select Projects
- Choose Jira projects to sync
- Select issue types to include
- Configure field mappings
- Set sync frequency
Available Data
Issue Fields
- Key: Issue identifier (PROJ-123)
- Summary: Issue title
- Status: Current status
- Priority: Issue priority
- Assignee: Assigned team member
- Reporter: Issue creator
- Created/Updated: Timestamps
- Story Points: Estimate (if used)
- Sprint: Sprint assignment
- Labels/Components: Categorization
Calculated Metrics
clariBI calculates:
- Cycle time
- Lead time
- Throughput
- Sprint velocity
- Bug rate
Dashboard Examples
Sprint Performance
- Sprint burndown chart
- Velocity trend
- Story points completed vs committed
- Carry-over rate
Team Productivity
- Issues by assignee
- Average cycle time by type
- Status distribution
- Resolution time trends
Project Health
- Bug count over time
- Priority distribution
- Overdue issues
- Blockers and impediments
Analysis Queries
Example Questions
- "What's our average sprint velocity?"
- "Show cycle time trend for the last quarter"
- "Which team member closed the most issues this month?"
- "Compare bug rates across projects"
Best Practices
Data Quality
- Keep Jira statuses consistent
- Use story points consistently
- Close issues properly
- Maintain sprint boundaries
Sync Recommendations
- Sync daily for most teams
- More frequent for active sprints
- Historical data on initial sync