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Traditionally psychometric tests were used for profiling incoming workers.These methods use DISC profiling method to classify people into distinctpersonality types, which are further used to predict if a person may be apossible fit to the organizational culture. This concept is taken further byintroducing a novel technique to predict if a particular pair of an incomingworker and the manager being assigned are compatible at a psychological scale.This is done using multilayer perceptron neural network which can be adaptivelytrained to showcase the true nature of the compatibility index. The proposedprototype model is used to quantify the relevant attributes, use them to trainthe prediction engine, and to define the data pipeline required for it.

An Automated Compatibility Prediction Engine using DISC Theory Based Classification and Neural Networks