Sprint Doctor

Rovo-powered Jira app that fixes unclear issues, detects sprint risks, and balances team workload—helping agile teams run healthier, faster, and more predictable sprints.

Comment

Sprint Doctor 🚀

A Rovo-powered Atlassian Forge app for healthier, faster, and more predictable Jira sprints.

Inspiration

Agile teams rely heavily on Jira to plan and track work, yet many sprint problems don’t come from tooling limitations—they come from unclear issues, hidden risks, and uneven workload distribution. During sprints, teams often spend valuable time manually checking issue descriptions, hunting for blockers, balancing assignments, and preparing standups instead of focusing on delivery.

While Jira provides powerful data, extracting meaningful insights from that data still requires experience and manual effort. We were inspired by the idea of having an AI sprint coach embedded directly inside Jira—one that continuously monitors sprint health, explains problems clearly, and suggests actionable improvements in real time.

With Atlassian’s Rovo platform and Forge, we saw an opportunity to build this intelligence natively, securely, and without relying on external AI services.

What it does

Sprint Doctor is a Rovo-powered Atlassian Forge app that analyzes live Jira sprint data to help teams run healthier and more predictable sprints.

It helps teams by:

  • Identifying unclear or poorly documented issues and suggesting improvements
  • Calculating a Sprint Health Score (0–100) with a clear breakdown of contributing factors
  • Detecting sprint risks such as blockers, missing ownership, or overloaded team members
  • Analyzing workload distribution and suggesting rebalancing opportunities
  • Generating daily standup summaries and sprint reports automatically
  • Providing all insights through natural language commands using a Rovo agent

All insights are derived directly from actual Jira issue states (Done, In Progress, Blocked, Unassigned), ensuring transparency and accuracy.

How we built it

Sprint Doctor is built entirely on Atlassian Forge, following a platform-first and compliance-friendly approach.

Architecture Overview

  • Forge Custom UI
    Provides a dashboard experience inside Jira for sprint health, risks, and workload insights.

  • Rovo Agent
    Enables natural language interaction, allowing users to ask questions like:

    • “Analyze sprint health”
    • “Find unclear issues”
    • “Who is overloaded this sprint?”

  • Rovo Actions
    Each core capability (health analysis, workload balancing, standup generation, etc.) is implemented as a dedicated Rovo action.

  • Jira Cloud REST APIs
    Securely read sprint, issue, and assignee data with Forge permissions.

No external AI models, APIs, or API keys are used. All intelligence runs natively on Atlassian’s platform.

Challenges we ran into

One major challenge was scoping AI responsibly. Rather than attempting to “predict” outcomes with opaque models, we focused on explainable, assistive intelligence that teams can trust.

Another challenge was ensuring judge and user safety. Sprint Doctor is designed to be read-only and suggestion-first by default, so insights can be evaluated without modifying real Jira data.

We also had to carefully design Rovo action outputs to be both machine-readable and human-friendly, ensuring that explanations remain clear even when multiple risk factors are involved.

Accomplishments that we're proud of

  • Built a fully Forge-native, Rovo-powered app with zero external dependencies
  • Designed an explainable Sprint Health Score with itemized deductions
  • Enabled natural language sprint analysis using Rovo agents
  • Created a tool that installs easily and works out of the box for judges
  • Delivered a solution that fits real agile workflows instead of replacing them

What we learned

We learned that AI is most effective when it augments decision-making rather than automating it blindly. Rovo agents excel when paired with structured Jira data and clear action boundaries.

This project deepened our understanding of:

  • Forge app architecture and permission management
  • Designing AI features that are transparent and trustworthy
  • Building developer tools that align closely with platform ecosystems
  • Translating raw project data into actionable insights

What's next for Sprint Doctor

Future enhancements include:

  • Sprint-to-sprint comparison and trend insights
  • Optional write-back actions with explicit user approval
  • Deeper Confluence integration for sprint reports
  • Smarter workload analysis using historical sprint data
  • Team feedback–driven refinement of health and risk scoring

Our long-term vision is for Sprint Doctor to become a reliable AI sprint companion for teams using Jira every day.

Hackathon Alignment

  • ✅ Built entirely on Atlassian Forge
  • ✅ Uses Rovo agents and actions
  • ✅ No external AI or third-party APIs
  • ✅ Easy for judges to install and test
  • ✅ Eligible for Best Rovo App, Best App Built Using Rovo Dev, and Runs on Atlassian

Sprint Doctor helps teams focus less on managing Jira—and more on delivering great work.

Built With

  • atlassian-rovo
  • forge-custom-ui
  • forge-storage-api
  • javascript-(node.js)
  • jira-cloud-rest-apis
  • react
Share this project:

Updates