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.