Monte Carlo simulations for Scrum/Kanban (Agile Gadgets)

by Broken Build

works with Jira Cloud

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Key highlights of the appAgile Monte Carlo (MC) forecasting: When/How many charts for Scrum/Kanban, Projects, SAFe gadgets/reports/KPIs on Jira Dashboard

Define your Monte Carlo simulation scope

Choose When for delivery dates or How many for scope quantities
Configure Throughput using the default or alternative data source
Specify the Remaining work value to define your backlog for forecasting

Visualize Agile Monte Carlo simulation insights

Completed, Remaining work, and Target vs Projection tiles for instant clarity
Histogram & probability curve/bands for delivery confidence
RAG segmentation to highlight risks
Throughput chart to ensure the stability

Run Monte Carlo simulations for any data source

Scrum or Kanban boards for multiple teams
Projects, Releases, Epics, Initiative issues, or any issue type hierarchy
Lists, JQL, saved or custom JQL filters

More details

📗 Documentation and Support

🏅 Created by Broken Build, Atlassian Gold Partner

🛡️SOC 2® Type 2 examined, trusted by 3000+ customers (Uber, Walmart, Amazon)

⚙️ Setup options

Pick your data source - multiple Scrum or Kanban boards, Projects, Releases, Initiatives, etc.
Choose When or How many mode to forecast delivery dates or scope quantities
Configure Throughput with default or alternative data sources
Define Remaining work via estimation field (e.g., Story Points), “What-if” numbers, or JQL filters
Group data by days, weeks, months, quarters

📊 Insights you get

Progress & accuracy - via Completed, Remaining work, and Target vs Projection tiles
When chart - delivery forecasts with a histogram of dates, probability curve, and RAG segmentation
How many chart - scope forecasts with issue count histogram and probability bands
Throughput chart - validate sampling stability and spot delivery trends
Breakdown & Remaining work table - analyze backlog and unresolved issues

💻Book a Demo

Resources

App documentation
Comprehensive set of documentation from the partner on how this app works

Privacy and Security

Privacy policy

Atlassian's privacy policy is not applicable to the use of this app. Please refer to the privacy policy provided by this app's partner.

Partner privacy policy

Security program

This app is not part of the Marketplace Bug Bounty program.

Integration permissions

Monte Carlo simulations for Scrum/Kanban (Agile Gadgets) integrates with your Atlassian app

Version information

Version 2.1.0•for Jira Cloud

Release date: Jan 21st 2026
Summary: Monte Carlo Charts: a cone of uncertainty, what-if scenarios and health metrics
Details: We created the Monte Carlo Charts app that provides answers to those eternal “when” and “how many” questions in the form of distributions built from a 100K-trial simulation that uses past throughput values to model natural fluctuations.
Key charts and app features:
Forecast of when the remaining work can be delivered based on team throughput
Forecast of how many work items or story points can be delivered until the specific date based on past performance
Forecast of how many story points can be delivered in the next sprint based on the previous throughput
What-if scenarios for the remaining work
What-if scenarios for capacity allocation
Health metrics: Completion, Remaining work, Target vs. Projection
Alternative throughput for forecasting projects before start
Release notes
Payment model: Paid via Atlassian
License type: Commercial