Jira Integration for Project Analytics

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

1. Navigate to Data Sources > Add New
2. Select Jira Integration
3. Click Connect to Jira

Step 2: Atlassian Authorization

1. Log in to your Atlassian account
2. Review permission requests
3. Authorize clariBI access
4. Return automatically

Step 3: Select Projects

1. Choose Jira projects to sync
2. Select issue types to include
3. Configure field mappings
4. 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