Jira reporting tools vary in how well they support cross-team visibility and delivery forecasting. Some focus on individual teams, while others require external analytics tools or higher-tier plans for more advanced reporting.
We selected three tools with different approaches to Jira reporting, focusing on cross-team insights, delivery forecasting, and access to key Agile metrics. Here’s what we looked for:
- Cross-team reporting: Combine data from multiple teams and Jira boards in one view.
- Delivery forecasting: Use delivery data to estimate when work is likely to be completed.
- Agile metrics: Track velocity, cycle time, throughput, work in progress (WIP), and other delivery indicators.
- Trial or demo options: Evaluate the tool before committing to a paid plan.
Let’s take a closer look at our three picks and what each offers.
Why Jira Reporting Tools Matter in 2026
Delivery leaders need a clear view of progress across teams. Jira provides useful reports for individual teams, but tracking multiple teams and forecasting when a larger initiative will be completed can require additional reporting tools.
Many Jira reporting roundups list dozens of apps without explaining which ones address specific delivery challenges. More dashboards do not necessarily mean better visibility.
So this article focuses on three tools that help teams consolidate data across Jira boards and improve delivery forecasting without exporting data to external tools.
Accurate forecasting matters when teams manage multiple products, work across locations, and need to give stakeholders reliable timelines. Instead of relying on estimates alone, delivery leaders can use historical performance data to assess completion dates, track bottlenecks, and make more informed plans. The right reporting tool makes this information easier to access and use.
How to Choose the Right Jira Reporting Tools
Delivery managers need to see what’s blocking each squad, not just a nice dashboard. Look for features that help you spot cross-team blockers and forecast delivery dates ahead of time.
- Cross-team rollup views — Does your tool automatically combine progress from different Jira projects? Can you show us a demo of 3 teams’ burndowns next to each other?
- Forecasting with historical data — Look for Monte Carlo simulations or cycle time trends that forecast when things will be finished. Static reports can’t tell you when something will ship.
- Native Jira integration — Check that the tool reads live data from Jira through its APIs or operates within Atlassian’s platform. Schema updates will render your data exports useless.
- Transparent pricing and trials — Make sure the pricing model is per-user or per-project, and check whether there’s a free trial where you can test the software with actual data. Quote-only models hide costs until you’re invested.
- Support responsiveness — Are delivery tools breaking in your sprint? Search for documented SLAs or community reviews with mentions of response times under an hour.
Quick Comparison
Scan this table to see how each tool tackles cross-team visibility, forecasting, and trial access — the three differentiators that matter most for delivery leaders.
| Firm | Core Strength | Forecasting Capability | Cross-Team Support | Free Trial |
| Broken Build | 30+ Agile metrics and ready-to-use charts | Monte Carlo forecasting based on historical Jira data | Multi-board reporting and cross-team progress tracking | Yes |
| DevAcrobats | KPI reports inside Jira (Forge) | Sprint reporting and time tracking | Scales 10 to 10,000 users | Yes |
| Jellyfish | Engineering intelligence, AI impact, and DORA metrics | Developer productivity insights | Benchmarks 1,000+ orgs | No |
Top 3 Jira Reporting Tools
These three tools take different approaches to Jira reporting. Broken Build offers portfolio-level Monte Carlo forecasting, eazyBI supports advanced analytics with custom dimensions, and Tempo focuses on resource planning and project portfolio management.
Broken Build
Broken Build offers Agile Reports & Gadgets, a Jira reporting suite built for teams that need cross-team visibility and delivery forecasting. It comes with 30+ ready-to-use metrics spread across nine chart families — velocity, burnup and burndown, cycle time, throughput, cumulative flow diagrams (CFD), work in progress (WIP), and Monte Carlo forecasting, to name a few.
Monte Carlo forecasting draws on historical Jira data to estimate delivery dates and model different scenarios, so teams can plan based on past performance instead of fixed commitments. Percentile-based projections are part of the mix too, giving stakeholders a clearer view of timelines and the uncertainty around them.
If you’re managing multiple teams, the platform combines data from boards, projects, epics, releases, and initiatives into consolidated reports. Reusable board sets, cross-team comparisons, and portfolio-level rollups help delivery leaders standardize performance measurement and identify bottlenecks across workflows. Metrics such as cycle time, throughput, WIP, rollover, Say/Do ratio, and scope changes give insight into delivery efficiency and process stability.
Agile Reports & Gadgets works with existing Jira data, performing calculations inside Jira rather than requiring exports to external BI tools or a separate data warehouse. Its 38 pre-built templates, customizable breakdowns, filters, and dashboard gadgets make it easier to configure reports and share delivery insights through Jira and Confluence.
There’s a free 30-day trial, and Broken Build says its support team targets a 15-minute response during working hours.
| Attribute | Value |
| Forecasting | Monte Carlo simulations and percentile-based delivery estimates |
| Best For | Cross-team Jira reporting, Agile metrics, and Monte Carlo forecasting |
| Free Trial | 30 days |
| Support SLA | 15-minute response target during working hours |
DevAcrobats
DevAcrobats builds reporting and analytics apps for Jira, and its main tool is Performance Objectives — designed for custom charts, KPI reports, and dashboard visualizations. The app supports more than 40 metrics, with configurable reporting for sprint performance, velocity, time in status, worklog time, SLA tracking, and other operational indicators.
With Performance Objectives, teams can filter Jira data, combine metrics, define custom calculations, set targets, and visualize everything right on Jira dashboards. That flexibility is a real plus if you need reports tailored to specific KPIs — though configuring advanced formulas and conditions does take some effort.
The app runs on Atlassian infrastructure, and DevAcrobats states that it doesn’t process or store end-user data outside Atlassian apps and services. There’s also a second app, User Activity Timeline, for reviewing issue history and team activity. Performance Objectives comes with a free trial, so teams can test its reporting capabilities before buying.
| Attribute | Value |
| Core Strength | Custom Jira charts, KPI reports, and dashboard metrics |
| Reporting Features | Sprint metrics, time in status, SLA, worklogs, and custom calculations |
| Cross-Team Support | Custom reports and dashboard visualizations using Jira data |
| Notable feature | Custom calculations with interactive visualizations |
Jellyfish
Jellyfish is an engineering intelligence platform that links Jira with development tools, helping organizations get a handle on engineering performance, delivery progress, and investment allocation. Through its Jira integration, epics, issues, statuses, and other ticket metadata get synced — which gives you visibility into how work is distributed, how teams are delivering, and how workflows are performing.
Beyond Jira reporting, Jellyfish covers DORA metrics, developer productivity, AI coding-tool adoption and impact, and engineering investment. Its broader analytics help engineering leaders evaluate how development work aligns with business priorities and assess the impact and cost of AI tools.
The platform also offers industry benchmarking based on data from more than 1,000 engineering organizations.
Unlike a dedicated Jira dashboard app, Jellyfish is designed for organization-wide engineering intelligence across multiple data sources.
| Attribute | Value |
| Best for | AI ROI tracking + DORA metrics at scale |
| Integrations | Jira, GitHub, GitHub Copilot, Cursor, Claude Code, and other tools |
| Cross-Team Support | Organization-wide reporting across connected engineering tools |
| Reporting Features | DORA metrics, workflow analysis, developer productivity, and AI impact |
Frequently Asked Questions
Q: How much time does it take to set up cross-team reporting dashboards?
A: It takes less than 10 minutes to connect to Jira with OAuth. However, it takes 2-4 hours to set up team boundaries and metric definitions. Expect 2-4 hours for initial rollup logic across 5+ squads. Apps that are native to Jira do not require exporting data, saving setup time by half.
Q: Can I use forecasting apps without 6+ months of historical velocity data?
A: Yes, you can. You can get accurate delivery range estimates using as little as 10 completed stories through Monte Carlo simulations. More historical data will result in better accuracy, but you don’t need 12 months to get started. Forecasting apps that can use historical Jira data such as cycle time are faster to get up and running than apps that only use velocity data.
Q: Will these apps affect Jira performance?
A: Apps built with Forge run on Atlassian infrastructure and have no impact on performance. External apps query Jira via API, and performance will depend on rate limits. Some apps cache data on their end, making sure you don’t hit the Jira API limit of 300 requests per minute.
Q: What happens to the dashboard once I cancel my app?
A: You can no longer access the dashboard. Export data before cancelling because you may be able to export metrics in CSV or JSON format, but you won’t be able to export the configuration. Screenshot any important dashboards before cancelling. No app lets you freeze the dashboard in a read-only state after you cancel.
Q: Are delivery dates sent out to stakeholders?
A: This depends on the app. Some will allow you to send out a link or Slack message, while others will require you to manually share your results. Look for Confluence apps if your company uses Confluence. This way you’ll be able to embed the forecast into Confluence rather than relying on static images or PDFs.
Conclusion
When you’re choosing a Jira reporting tool, it really comes down to two things: visibility across multiple teams and reliable delivery forecasting. The tools in this roundup approach those needs in different ways — some lean on Agile metrics and cross-team reporting, others on engineering intelligence or AI-driven insights.
Which one works for you depends on your organization’s size, your reporting requirements, and how much forecasting you need. A few questions are worth asking first. Do you need to consolidate data from multiple Jira boards? Track cycle time and throughput? Or analyze engineering performance across the whole organization?
Before making a decision, use a free trial or book a demo. Pay attention to how each tool handles cross-team reporting, which metrics it supports, how it forecasts delivery, and what the pricing includes. That’ll help you land on something that fits your teams’ workflows and reporting goals.
