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Additional Data Points that are used in Predictions

The predictive algorithm automatically takes into account auxiliary factors (internally calculated properties), which contain information that improves the predictive outcomes. For every prediction, the algorithm will look at the peers (employees with the same direct manager), the direct reports, and the manager of the employee in question to see whether they experienced the predicted event in the previous six months.

The predictive algorithm automatically takes into account auxiliary factors (internally calculated properties), which contain information that improves the predictive outcomes. This means, if 10 properties have been selected for the predictive model, the predictive model will use 13 properties in the predictions. For more information, see Configure the predictive models.

The auxiliary factors can be excluded from the predictive models via the Direct Manager (Supervisory Hierarchy) reference.

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