Ways to Evaluate Voice of the Customer Information for Meaningful Improvement

World Conference on Quality and Improvement vol. 57 - June 2003

Abstract: Smart organizations recognize the value of the voice of the customer in driving new initiatives for quality and success. Consequently, they collect customer satisfaction data but may lack effective analytic tools. Effective data analysis enables specific decisions and specific actions to improve customer satisfaction, user friendly communication of results, and consideration of the competition. Analytic methods include stated importance and derived importance measures of attributes from the customer�s perspective. They may be measured by simple scales or more complex statistical tools including correlation, gap analysis, regression analysis, and structural equation modeling, or a combination of methods.

Keywords: Customer focus - Customer satisfaction (CS) - Voice of the customer (VOC) - Data analysis - Statistical methods - Customer surveys

Access this article
Other ways to access this article
You will need Adobe Reader to view this PDF document. Download the free Reader from Adobe

Featured advertisers


(0) Member Reviews

Featured advertisers

ASQ is a global community of people passionate about quality, who use the tools, their ideas and expertise to make our world work better. ASQ: The Global Voice of Quality.