Prince Edward County Public Schools, VA: Compensation Study

Evergreen was hired by the Prince Edward County Public Schools (PECPS) to conduct a Compensation Study.   Evergreen will examine external equity by comparing the salaries of staff and teachers of PECPS against market peers in order to assist the division in be able to better retain and recruit a talented workforce.

Woodlands Water, TX: Compensation Study

Evergreen was hired by the Woodlands Water to conduct a Compensation Study. Evergreen will complete an assessment of current conditions; conduct an external labor market salary survey; and produce a new pay plan that best meets the needs of Woodlands Water from an external equity standpoint. Evergreen will also develop recommendations for a maintenance program and finalize and present recommendations. 

Charlotte County Public Schools, FL: Compensation Study

Evergreen was hired by the Charlotte County Public Schools to conduct a Compensation Study. Evergreen will perform the following tasks: conduct an internal comprehensive job evaluation and external comparison for all applicable positions; identify compression areas and recommend resolution strategies; provide recommendations for compensation structures/rules to maintain market competitiveness and prevent future compression; provide an analysis of each position/job description; provide recommendations for compensating employees with additional educational degrees, licenses, or certifications in appropriate areas; and recommendations for all positions that are found to be below or above the assigned salary grade.

City of Jacksonville Beach, FL: Pay and Classification Study

Evergreen was hired by the City of Jacksonville Beach to conduct a Pay and Classification Study. Evergreen will perform the following tasks: conduct a comprehensive survey of public and private labor markets; conduct a pay compression analysis for all positions; recommend the assignment of each classification to a pay grade; provide appropriate adjustments to account for regional cost of living variations; recommend any additional pay incentives and supplements; and conduct a comparison of existing benefits with market data. Note: Evergreen was previously hired in 2019 to conduct a similar study.

Jefferson County, TN: Job Classification Compensation Study and Analysis

Evergreen was hired by Jefferson County to conduct a Job Classification Compensation Study and Analysis. Evergreen will conduct a comprehensive salary survey to include all relevant benchmark positions; recommend a formal pay plan; and develop an implementation plan. Evergreen will also examine current job classifications and the provisions of applicable law, regulations, and procedures governing the job classifications; finalize job class specifications and recommend appropriate classifications for each employee; establish career ladders/promotional opportunities for each classification; and prepare and present a report of findings and recommendations, including a discussion of methods, techniques, and data used to develop the classification and compensation plan.

City of Beaumont, CA: Classification and Compensation Study / Organizational and Operational Review

Evergreen was hired by City of Beaumont to conduct a Classification and Compensation Study and an Organizational and Operational Review. The objectives of the study are to: ensure positions performing similar work with essentially the same level of complexity, responsibility, and knowledge, skills, and abilities are classified together; provide salaries commensurate with assigned duties; clearly outline promotional opportunities and provide recognizable compensation growth; and provide justifiable pay differential between individual job classes.

Evergreen will also conduct an examination of the City’s organizational structure and functions; review of the existing organizational structure and identification of gaps designs, and staffing levels; and propose options for a new organizational structure and recommendations regarding staffing levels, workload and span of control.