Key driver analysis (KDA) is the analysis that quantifies the importance of a series of predictor variables in predicting an outcome variable. Each of the predictors is commonly referred to as a driver. The KDA investigates the relationships between potential drivers and customer behavior such as the likelihood of a positive recommendation, overall satisfaction, or propensity to buy a product. Multiple regression analysis is one of the statistical methods used for this detection. The main factor analysis identifies which areas need to be improved in customer satisfaction, so it can have a more positive reflection on the scores.