Portfolio Forecaster - Forecasting for Jira
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Key highlights of the appForecast project timelines in Jira with smart, reliable predictions based on your team’s real work history
Know the possibility of finishing by your due date
Our Monte Carlo simulations use your historical data to forecast how likely it is that you'll meet your desired due date for each epic or version.
How certain are we about this forecast?
In Portfolio Forecaster you can control the level of confidence in your forecast. That sets the probability of finishing by the shown forecasted dates.
How will our choices impact the forecast?
What would happen if we started more epics? Fewer? What if we changed their priority?
You can use Portfolio Forecaster for what-if scenarios and have collaborative conversations early and often!
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More details
55 Degrees, the provider of ActionableAgile for Jira, is pleased to present our new Portfolio Forecaster.
Using your data quickly generates up-to-date, automated forecasts on the epics or versions in your Jira projects.
How do we do this?
You choose the epics or versions to forecast, the past issues that you'd like to use to tell the simulation the rate at which you finish work, and your desired confidence level. We then put that information into our Monte Carlo simulation and it runs 10,000 trials, taking into account all of the unique variation in your past work. This is like watching you complete your portfolio of work ten thousand times in a matter of minutes.
With this data, you can see a clear picture of possible outcomes you could have for your epic or version and which outcomes are more likely. This allows us to tell you when your items are likely to be done, the chances you’ll meet any desired due dates and even the impact of working on multiple items at once! Read more
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Comprehensive set of documentation from the partner on how this app works
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We no longer offer sales and support for server apps. You can still explore the earlier versions but these may not offer the necessary support.