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Inspiration
Modern agile teams move fast—but visibility into how healthy a sprint really is often comes too late. We were inspired by Formula 1 pit crews, where success depends on real-time signals, fast decisions, and zero ambiguity.
Just like in racing, software teams need immediate insights into velocity drops, work overload, and delivery risks—before the sprint spins out of control. Existing Jira dashboards show raw data, but they don’t explain what’s going wrong, why it matters, and what to do next.
That gap inspired F1 Pit Crew.
What it does
F1 Pit Crew is an intelligent sprint health dashboard built on Atlassian Forge that acts like an AI-powered project manager for agile teams.
It: Analyzes active and recent sprints from Jira Calculates risk score & risk level in real time Tracks velocity trends, WIP overload, backlog growth Highlights early warning signals before deadlines slip Generates actionable recommendations, not just charts Publishes auto-generated sprint reports directly to Confluence Instead of asking ** “How many issues are done?”** teams can answer:
“Is this sprint on track—and what should we fix first?”
How we built it
We built F1 Pit Crew entirely on Atlassian Forge, deeply integrated with Jira and Confluence:
Jira Agile APIs to fetch boards, sprints, issues, and status categories Custom sprint health scoring engine that evaluates: Work-in-progress overload Completion vs backlog growth Velocity change from previous sprints Forge Resolver functions to process analytics securely server-side Interactive Jira Dashboard Gadget for real-time sprint insights Confluence API (v2) to automatically create or update sprint health reports in selected spaces All data stays inside Atlassian—secure, serverless, and scalable.
Challenges we ran into
We built F1 Pit Crew entirely on Atlassian Forge, deeply integrated with Jira and Confluence:
Jira Agile APIs to fetch boards, sprints, issues, and status categories Custom sprint health scoring engine that evaluates: Work-in-progress overload Completion vs backlog growth Velocity change from previous sprints Forge Resolver functions to process analytics securely server-side Interactive Jira Dashboard Gadget for real-time sprint insights Confluence API (v2) to automatically create or update sprint health reports in selected spaces All data stays inside Atlassian—secure, serverless, and scalable.
Accomplishments that we're proud of
Built a full Atlassian Forge app from scratch that runs natively inside Jira dashboards with secure, serverless backend logic. Designed a real-time sprint health intelligence engine that goes beyond basic metrics by combining WIP, velocity trends, backlog growth, and completion ratios into a clear, explainable risk score. Seamlessly integrated Jira and Confluence, enabling teams to publish live sprint health reports automatically to Confluence—keeping stakeholders aligned without manual updates. Solved complex cross-product permission challenges across Jira Software and Confluence using Forge’s security model and modern API v2 endpoints. Delivered actionable insights, not just charts, helping teams understand why a sprint is at risk and what to fix first. Created a production-ready experience that respects Atlassian design patterns and could be adopted by real agile teams immediately. Turned agile data into decision intelligence, inspired by Formula 1 pit crews—bringing speed, precision, and clarity to sprint execution.
What we learned
Confluence API deprecations required migrating from legacy endpoints to v2 APIs Managing cross-product permissions between Jira and Confluence in Forge Ensuring the dashboard always reflects the latest active sprint, not stale data Designing a risk model that is simple, explainable, and actionable—not black-box AI Each challenge strengthened the architecture and made the solution more robust.
What's next for F1 Pit Crew
F1 Pit Crew turns Jira data into clarity. It helps teams: Catch risks early Reduce burnout Improve delivery confidence Make smarter sprint decisions—fast Just like a pit crew, it ensures teams stay on track, lap after lap.
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