People do not work like machines. They have parallel tasks of various kinds that need to be completed within a certain amount of work in a given time. The individual organizes themselves, deciding how much to work on each task per workday. However, the resource must be able to organize all tasks in a way that everything can be completed in time. Can Do simulates, using a complex algorithm, how an individual could distribute their workload among various tasks. Every possibility is analyzed. If there is no way the resource can handle everything, an overload risk is indicated.
Illustration: In a 'normal' system, the resource is reported as overloaded even though the resource can organize their work in such a way to complete both work packages on time.
Illustration: The “Watermodel” algorithm has determined that the resource can change its work so that it can do the work.
No overload is shown because it doesn't exist
Illustration from Can Do: In Can Do, packet A is not interrupted. There could be other people working on package A. The fact that the resource delivers both packages on time is calculated in the background and no risk is displayed.