You’re the delivery lead for four Scrum teams spanning three time zones. In 90 days, you’ll be asked for an accurate sprint forecast and cross-team progress summary to defend your roadmap to the C-suite. A bad reporting tool has a real cost. Three weekends lost to exporting CSV files into spreadsheets. Dashboards that tell conflicting stories. And a missed forecast that takes Q2 confidence down with it.
Most engineering orgs use generic BI tools that treat Jira like any other database—requiring exports, lacking real-time updates. We’re comparing tools that enable cross-team rollups, have strong forecasting accuracy, and integrate natively with Jira. We scored them based on Atlassian Marketplace adoption, cross-team rollup capability, flow metrics depth, data security posture, and trial availability.
Here’s the overview.
Why Jira Reporting Tools Matter in 2026
Reporting is scattered across multiple teams within Jira. Managers export data to spreadsheets. Stakeholders constantly ping for status updates. Forecasting is based on intuition instead of flow. This falls apart quickly when you have five teams shipping at the same time, each team with their own board, their own cadence, their own definition of done. No one wants to build a custom dashboard or export CSV files.
Teams need native Jira integration to keep data secure, cross-team rollups to catch blockers early, and forecasting engines that use Monte Carlo simulations instead of guesswork. The shift: teams want Jira-integrated reporting over third-party business intelligence tools.
How to Choose the Right Jira Reporting Tools
When multiple teams share visibility into work but don’t want to duplicate data into spreadsheets or separate data stores, you want a tool that will give you actionable insights while keeping the data secured within Jira.
- Native Jira integration — Make sure it’s available on the Atlassian Marketplace and operates directly on your Jira instance, not as a standalone SaaS application that requires data synchronization.
- Cross-team rollup capabilities — Do you have any dashboard gadgets that display the cumulative sprint velocity, burndown, and WIP data of several projects?
- Forecasting and flow metrics — Ask your vendors if they can produce Monte Carlo simulations, cycle time analysis, or cumulative flow diagrams. Gut-feel planning doesn’t work at scale.
- Data security model — Check if the app is Forge-based or on-premises. Apps that export issue data to outside servers are not recommended for highly regulated industries.
- Free trial availability — Use the tool on a real project for a minimum of 14 days before you make the decision. A demo with screenshots does not tell you much.
- Support response times — Review the documented SLA commitments; agile teams cannot afford to spend 48 hours waiting to troubleshoot the dashboard as part of sprint planning.
Quick Comparison
Scan this table to see how each tool handles forecasting, cross-team visibility, and data security — the three pillars that separate unified Jira reporting from fragmented dashboard sprawl.
| Firm | Forecasting & Flow Metrics | Cross-Team Rollup | Data Security Model | Free Trial |
| Broken Build | Velocity, burnup/burndown, cycle time, CFD, Monte Carlo forecasting | 30+ metrics across multiple teams | Uses existing Jira data | Yes (30-day) |
| StonikByte | Flow metrics, burndown, pivot tables | Dashboard gadgets across projects | SOC 2 compliant | Yes |
| 55 Degrees | Monte Carlo simulations, evidence-based forecasting | Portfolio visibility and WIP tracking | SOC 2, GDPR, ISO 27001 | Yes |
| eazyBI | AI-native BI with plain-language building | 12,000+ installs, multi-source dashboards | Cloud or private deployment | Yes (30-day) |
| DevAcrobats | KPI metrics, sprint reports | Performance objectives across teams | Atlassian Forge (data never leaves) | Free ≤10 users |
Top 5 Jira Reporting Tools
Here’s why each made the list: they each provide some combination of real-time cross-project aggregation, predictive analytics, and enterprise-grade compliance.
Those three features turn Jira into more than just a task tracker; they create a reporting infrastructure you can use to plan portfolios, forecast delivery, and report up to your C-suite.
Broken Build
Agile Reports & Gadgets by Broken Build is a Jira reporting solution that brings all your team data into one consistent view. No more copying and pasting reports together. Delivery leaders can track delivery health, uncover bottlenecks, and understand scope and progress changes at a glance — and see exactly where timelines are at risk.
For organizations running 5–15 teams or using scaled frameworks like SAFe, the solution supports cross-team reporting across boards, projects, epics, and initiatives. Key delivery metrics include velocity, sprint burndown and burnup, cycle time, time in status, throughput, WIP, and cumulative flow.
Historical Jira data and Monte Carlo forecasting help teams evaluate the likelihood of meeting delivery targets. Roll-up reports give program managers and executives visibility into progress, capacity, and delivery risks — all shareable as CSV, PNG, or PDF.
Key benefits:
- Reporting across multiple teams in one view, reducing manual consolidation.
- Delivery forecasts based on historical Jira data and 50%, 85%, and 95% confidence levels.
- Earlier visibility into bottlenecks, aging work, and changes in delivery flow.
- Clearer tracking of planned work, completed work, and scope changes between sprints.
- More consistent performance measurement across teams with different workflows.
- Faster preparation of delivery updates for executives and steering committees.
- Reporting based on existing Jira data, without separate exports or ETL processes.
StonikByte
StonikByte is an Atlassian Platinum Marketplace Partner, and it’s SOC 2 Type II compliant. The company offers flow metrics, burndown charts, pivot tables, and KPIs through reporting gadgets for Jira and Confluence. There are also separate reporting tools for Azure DevOps.
Its dashboard gadgets let teams monitor cycle time, WIP, and velocity history for sprint planning and delivery analysis — without leaving their existing workflows. 24/7 support is available.
Additionally, DevOps insights from GitHub and Bitbucket feed into Jira boards, letting developers track commits and pull requests inside Jira. These integrations complement StonikByte’s reporting products but are separate from the core dashboard gadgets.
Key benefits:
- Flow metrics, burndown charts, and pivot table gadgets.
- 24/7 customer support and Atlassian Platinum Marketplace Partner status.
- SOC 2 Type II compliance.
- DevOps insights from GitHub and Bitbucket in Jira.
- Reporting tools for Jira, Confluence, and Azure DevOps.
55 Degrees
55 Degrees helps teams forecast delivery by leaning on historical data, flow metrics, and evidence—not guesswork. For Jira and Azure DevOps users, its ActionableAgile Analytics product taps into Monte Carlo simulations and cycle time analysis. The goal? Give teams a realistic timeline based on how they’ve actually performed, rather than relying on gut feel.
For portfolio managers, the tool tracks work in progress, throughput, and cumulative flow diagrams across multiple teams. It also supports cross-team delivery analysis, so organizations can spot trends using their own historical workflow data. And if you’re just evaluating, there’s a free trial available.
Key benefits:
- Free trial available to evaluate the product.
- Monte Carlo simulations for probabilistic delivery forecasting.
- Jira and Azure DevOps integrations.
- SOC 2 and ISO 27001 certifications, alongside GDPR-related data protection obligations.
eazyBI
eazyBI is a business intelligence and reporting tool for Jira. It combines customizable analytics with AI-assisted report building, and the drag-and-drop interface helps users create reports and dashboards without much friction. For those who need more depth, there’s support for MDX and custom calculations.
Founded in 2011, eazyBI supports reporting across projects, teams, and departments. It does this by importing Jira data and other supported sources into its reporting environment. AI-assisted features help users build reports and explore data. Meanwhile, customizable charts, calculated measures, and hierarchical analysis support more detailed investigations of delivery performance.
On the integration side, eazyBI works with Jira, Confluence, Jira Service Management, Assets, Bitbucket, Bamboo, and Jira Align. Reports can be exported to CSV, Excel, JSON, PDF, and PNG—handy for further analysis or stakeholder presentations.
Key benefits:
- AI-assisted report building and data analysis.
- Data imports from Jira and other supported sources.
- Custom reports, charts, and dashboards with drill-down analysis.
- Exports to CSV, Excel, JSON, PDF, and PNG.
- Free trial available for product evaluation.
DevAcrobats
DevAcrobats provides Jira reporting apps for tracking sprint performance, time, KPIs, and performance objectives. Its Jira Cloud app runs on Atlassian Forge, keeping app data within Atlassian’s environment. The reporting tools help teams review sprint progress, monitor performance, and perform custom calculations without relying entirely on manually assembled spreadsheets.
The product supports Jira Cloud and Jira Data Center, with deployment and data-handling details depending on the version. Its pricing includes a free Cloud plan for up to 10 users, with paid tiers available for larger teams.
Key benefits:
- Forge-based architecture keeps Cloud app data within Atlassian’s environment.
- Performance objectives, sprint reports, and user activity timelines.
- Free Cloud plan for up to 10 users.
- Custom calculations and interactive visualizations.
- Jira Cloud and Data Center support.
Frequently Asked Questions
Q: How much does Jira reporting software cost?
A: The majority of Jira reporting apps will cost anywhere from $10-$50 per user/month, based on team size and features needed. Higher-end solutions with forecasting and multi-team aggregation may be custom-priced. The good news is that most of these apps offer free trials so you can try before you buy.
Q: How do I protect my Jira data while using reporting tools?
A: You don’t need to export your data to a third-party tool if you don’t want to. Apps built on Atlassian’s Forge platform live inside Jira and don’t export any data. Apps that mention “no data export” or “Forge-native” should be safe to use. Some will have SOC 2 or GDPR compliance, which means they have good data governance practices. If an app requires you to export your data to a CSV or upload it to a third-party service, make sure you understand how the data is being used and stored.
Q: Will the tool work for multiple projects/teams?
A: Cross-team rollup is essential if you’re working across multiple projects. Most support aggregating metrics from multiple projects into a single dashboard. Look for portfolio views, cross-project burndown, or team filtering. Some tools charge extra for multi-project access, so be sure to ask during a trial.
Q: How are flow metrics different than velocity?
A: Flow metrics are measures of cycle time, throughput, and WIP limits. They’re used to identify where bottlenecks occur and how long it takes to move work through the pipeline. Velocity is the number of story points completed in a sprint. It’s a lagging metric. Tools with Monte Carlo forecasting use historical flow data to predict delivery dates with confidence ranges, doing away with guesswork.
Conclusion
The five platforms we have ranked deliver a combination of native Jira integration, cross-team roll-up, and forecasting precision to replace multiple dashboards and spreadsheets. To make the cut, every option listed had to be available in the Atlassian Marketplace, deliver flow metrics, provide secure data handling that does not leave Jira, and offer a trial or publicly available pricing.
To decide which option is best for you, consider team size and forecasting readiness. Order free trials from any company mentioned and deploy them simultaneously over a two-sprint period. Compare the accuracy of their Monte Carlo simulations against your actual delivery dates and evaluate how soon each identifies cross-team dependencies. A great tool unifies visibility in days, not quarters.