Case Study - Survey Optimization Strategy

Our client was rolling out a radically new customer relationship management system for its US operations.  To measure change management effectivenss the client wanted to survey key functional groups, but struggled with how to reach over 13,000 employees and evaluate their responses cost effectively.  They were considering canceling the survey because of cost and resource limitations.

We demonstrated how using statistical sampling techniques to randomly select employees for the survey meant that they would only need 760 responses to get results that exceeded their survey accuracy requirments.

Our client was able to complete the survey and analysis much more quickly, and at a much lower cost than originally planned.  They also avoided putting additional stress on project and employee resources during the system launch.