Turn uncertainty into clarity. We take your team's historical delivery data and run it through 10,000 possible 'future' scenarios to show you exactly when you're likely to finish. Goodbye guesswork 👋🏻.
How the magic happens. We use a Monte Carlo simulation. Instead of giving you one 'perfect' date (which doesn't exist), our engine looks at your completed work over time (throughput) and simulates your remaining work 10,000 times. This accounts for the natural fluctuations of software delivery, giving you a forecast based on probability.
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Upload a CSV export from Jira, Asana, Linear, Azure DevOps, or any tool that tracks completion dates. The more history you provide, the more accurate the forecast.
Follow these steps to filter your project for completed work and export it with the necessary data fields:
Below a sample query to get you started. Paste it into the search bar (replace YOUR_PROJECT with your actual project key) and press Enter:
project = "YOUR_PROJECT" AND status IN (Done)
Jira only exports what is visible. To ensure your data is included:
Note: Selecting "my fields" ensures the output is clean and specifically includes the Resolved and Story Points columns you just added.
Count only unfinished work. Don't include items already resolved.
How much of your total work is still undiscovered? At 0% your backlog is fully defined. At 50% you expect to find as much new work as you already have.
The date your team begins working through the remaining backlog items. Usually today, or the start of your next sprint. This could be in the past too, if some items are already in progress.
Add holidays or reduced-capacity periods. Use 0 for a shutdown, 0.5 for half-team.
Found a bug, missing a feature, or want to tell us how you're using it? We read every response.