Connect Jira to Count

Transform your Jira project data into actionable insights with Count’s AI-powered jira kpi dashboard. Instead of wrestling with rigid templates or spending hours building manual reports, Count’s AI agent writes custom SQL and Python analysis tailored to your exact questions about sprint performance, team productivity, and delivery metrics.

Beyond Basic Jira Reporting

Jira holds the complete story of your development process — sprint velocity, cycle times, backlog health, defect patterns, and team capacity. But Jira’s built-in reports offer limited segmentation and can’t answer follow-up questions like “Why did our cycle time spike in Q3?” or “Which story point estimates are consistently off, and by how much?”

Count runs hundreds of queries in seconds, uncovering patterns in your sprint data that manual analysis would never find. Whether you’re tracking Sprint Velocity, analyzing Cycle Time trends, or measuring Team Capacity Utilization, Count delivers bespoke analysis instead of generic templates.

Complete Project Intelligence

Unlike spreadsheet analysis that becomes error-prone with complex Jira datasets, Count automatically handles data quality issues and messy project structures. It connects your Jira data with other sources — your database, GitHub, Slack — for complete project intelligence.

Every analysis is transparent and collaborative. Count shows its methodology, so you can verify assumptions about Sprint Burndown Analysis or Epic Progress Tracking. The result? Presentation-ready insights that turn your Jira data into strategic advantage, not just another jira reporting tool.