Abstract: An automated computerized system and user interface that evaluates financial losses due to predicted attrition of company customers. The system/method receives and processes frustrations from individuals, verifies that the frustrations are expressed to the company by the actual customers, automatically identifies key frustrations, combines and evaluates those key frustrations based on a computerized mathematical model, determines company level vulnerability based on a segmentation of the individual frustrations, and calculates a business value at risk, caused by a probability of attrition of customers. The system/method utilizes binominal logistic regression analysis to translate the calculated individual-level vulnerability score into a probability of attrition of customers and calculates the business value at risk. It also automatically generates and sends to key individuals a list of remedial measures when the calculated business value at risk exceeds the industry trend or a threshold.

Abstract: An automated computerized system/method that evaluates risk of attrition of company customers or employees. The system/method receives and processes plural frustrations from individuals, automatically identifies key frustrations, combines and evaluates those key frustrations based on a computerized mathematical model, determines company level vulnerability based on a segmentation of the individual frustrations, and calculates a business value at risk, caused by a probability of attrition of employees or customers. The system/method utilizes binominal logistic regression analysis to translate the calculated individual-level vulnerability score into a probability of attrition of employees or customers and calculates the business value at risk. Companies may then implement remedial measures to prevent company value erosion or capture predicted value shift from competitors.