Embrace probabilistic forecasting. Use historical data to create probabilistic plans for future project delivery in an uncertain environment.
With the forecast feature, you can derive possible outcomes (from optimistic to very pessimistic) for the duration of your projects. The functionality uses specific criteria (ex. complexity and certainty) to derive forecasts based on past flow data automatically.
With this built-in Monte Carlo simulation, you can determine how many work items your team is capable of completing for a given period of time. It runs based on your historical completion data. Use a variety of filters so you can get accurate forecasts on what amount of work can be delivered in the future.
The Monte Carlo: "When" simulation provides you with possible outcomes for future project duration based on your past workflow data. Apply filters to refine the simulation results and use different certainty levels to communicate the delivery of your projects.
During the 14-day trial period, you can invite your team and test the application in a production-like environment. If you have any questions, you can always contact our support team. We are here to help.