Segmentation analysis is a technique with which one can analyse how attitudes about an issue of interest vary across different employee groups. Uncovering those groups that are particularly positive with regards to an issue can point to sources of best practices within an organization. Conversely, discovering those groups that are particularly dissatisfied about an issue can trigger focused improvement activities.
A case example: Pinpointing disaffiliated staff
Based on previous Towers Perrin-ISR analyses, the management of a high-technology firm determined that "affiliation," or commitment to the company, is essential to both employee satisfaction and corporate performance. To locate "hot spots" of disaffiliated employees, Towers Perrin-ISR used segmentation analysis to identify three clusters of employees: the strongly affiliated, the moderately affiliated, and the disaffiliated.
As shown in the figure below, the highest concentration of disaffiliated employees is found in middle management, where almost two-thirds of midlevel management are disaffiliated, and in the least-tenured employees. Conversely, strongly affiliated employees are concentrated in the more tenured staff and among those in the top pay band. Armed with this information, the company reexamined its training activities for new hires and conducted further analyses on the factors driving disaffiliation among its middle managers.
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