We begin by acknowledging the fact that we are assessing 'human perceptions' when we conduct customer surveys and employee satisfaction employee data surveys and that to each person, perceptions of the way things are create a personal reality. Right or wrong, Perception = Reality. In addition, some perceptions dominate and propel ('drive') other perceptions, and perceptions as a whole determine human behavior. The employee root cause employee data analysis is designed to identify those perceptions in the employee population that drive the greatest number of other perceptions to the greatest extents, because it is those core, or root, perceptions employee data that are driving employee behavior. With appropriate interventions to the root employee data perceptions, or root causes of employee behavior, we change the perceptions and therefore, the behavior. The Root Cause Analysis involves high-level statistical analyses, such as correlations, step wise linear regression analyses (modified, proprietary), and psychological path employee data analyses. We require a confidence level of 99.99% and a sampling error of less than 1% in these analyses. From this process, we are able to identify the one, two, or three overriding perceptions commonly held by each population that are driving behavior, and with appropriate interventions to just these one to employee data three issues, Clients experience increases in 40% to 80% of all issues addressed by the employee survey. The same is true of customer surveys. The customer root cause analysis can assess the perceptions of customers and identify those that drive customer behavior. From the correlations, regressions, and employee data path analyses, we identify the one, two, or three overriding perceptions commonly held by each customer population that are driving behavior. With appropriate interventions to just these one to three issues, Clients experience increases in 40% to 80% of all issues addressed by the customer employee data survey. The 'third leg of the stool,' so to speak, is to identify those employee attitudes, opinions, or beliefs (perceptions) that drive employee behaviors directly impacting customer intent to return. This analysis process is similar, although all employee data is correlated and regressed against only the employee data customer data relating to intent to return.