37. A method for calculating an interaction churn score in an organization with which the customer has an interaction, the method comprising: receiving a plurality of categories, each category characterized by an at least one parameter of a voiced expression; capturing or logging the interaction using a capturing or logging component; based on a determined relation of data of the interaction to churning, categorizing the interaction into at least one churning category out of a total number of categories according to an extent to which the data of the interaction belongs to the least one churning category; determining a number of churning categories into which the interaction is categorized; determining the maximal score for a churning category; determining the number of churning categories; determining an interaction churn score for the interaction, wherein the interaction churn score comprises a term directly related to the number of churning categories the interaction is categorized into and inversely related to the total number of churning categories using a formula: 
 A *(maximal score for a churning category)+ B *((the number of churning categories into which the interaction is categorized)/(the number of churning categories)*100), wherein A and B are coefficients set by a user and satisfy a condition of A+B=1; and further wherein at least the capturing or logging the interaction and determining the interaction chum score for the interaction are carried out using a computing platform provisioned with a memory device, wherein the cited component comprises processing apparatus configured to perform the corresponding task cited above.
37. A method for calculating an interaction churn score in an organization with which the customer has an interaction, the method comprising: receiving a plurality of categories, each category characterized by an at least one parameter of a voiced expression; capturing or logging the interaction using a capturing or logging component; based on a determined relation of data of the interaction to churning, categorizing the interaction into at least one churning category out of a total number of categories according to an extent to which the data of the interaction belongs to the least one churning category; determining a number of churning categories into which the interaction is categorized; determining the maximal score for a churning category; determining the number of churning categories; determining an interaction churn score for the interaction, wherein the interaction churn score comprises a term directly related to the number of churning categories the interaction is categorized into and inversely related to the total number of churning categories using a formula: 
 A *(maximal score for a churning category)+ B *((the number of churning categories into which the interaction is categorized)/(the number of churning categories)*100), wherein A and B are coefficients set by a user and satisfy a condition of A+B=1; and further wherein at least the capturing or logging the interaction and determining the interaction chum score for the interaction are carried out using a computing platform provisioned with a memory device, wherein the cited component comprises processing apparatus configured to perform the corresponding task cited above. 38. The method according to claim 37 , wherein each category is characterized based on former interactions.