Abstract: CSI (short for Customer Satisfaction Index) can reflect the essential relationship between each factor which has impact on satisfaction degree of evaluated object，thereby，to supply reliable information for management of enterprises. According to the specific characters of construction enterprises，by taking the evaluating model of the customer satisfaction index at home and aboard，model of customer satisfaction index for construction enterprises is established，observed variables of each latent variable are proposed，and the specific mathematical expression of the model is put forward. In order to solve the problems of multiple correlations among the factors in the model and the obviously inadequate quantity of samples compared with the quantity of variables，this paper presents the way of partial least squares (PLS) based on principal components and typical correlative analysis. The latent variables and the explanation degree coefficient of the manifest variable to the corresponding latent variables are estimated by PLS path analysis，and the influence coefficient among the latent variables in the model is estimated by PLS regression analysis. The evaluating results of the Customer Satisfaction Index measurement carried out in a construction enterprise in Chengdu，Sichuan Province，provide useful information for construction enterprises to carry out customer satisfaction strategy and for the enhancement of the customer satisfaction to these enterprises.

Key words: customer satisfaction index, construction enterprise, partial least square, influence coefficient