Evergreen was hired by Calaveras County Water District to conduct a Total Compensation and Benefits Study. Evergreen will perform the following tasks: conduct a comprehensive compensation survey and analysis; assess the current compensation plan and make recommendations for changes; make recommendations covering special compensation issues including seniority, promotions, and ongoing maintenance; conduct a survey and analysis of the District’s benefits offerings in comparison with the market study; and present the findings and final report to the Board of Directors.
City of Naples Airport Authority, FL: Compensation Study
Evergreen was hired by the City of Naples Airport Authority to conduct a Compensation Study. Evergreen will perform the following tasks: collect secondary compensation data on all positions based on competitor categories; analyze data to determine market positioning by classification; recommend a pay structure for the Authority that is fair, equitable, and competitive; slot classifications into proposed pay grades; prepare and submit a summary report, including the methodology, findings, and recommendations; and present results.
Charles County Public Schools, MD: Classification and Compensation Study
Evergreen was hired by Charles County Public Schools (CCPS) to conduct a Classification and Compensation Study. Evergreen conducted a job analysis to determine the hierarchy of jobs within CCPS and conducted a salary survey to determine whether CCPS was competitive in the market.
Petersburg City Public Schools, VA
Evergreen was hired by Petersburg City Public Schools to conduct a Classification and Compensation Study. Evergreen will perform the following tasks: review the existing compensation and classification system, hold supervisor interviews and employee focus groups, develop recommendations of FLSA (exemption) status based on results of the job evaluation (JAT) review and federal requirements, conduct an external labor market salary assessment, conduct a solution analysis, develop recommendations for compensation administration, and provide revised class descriptions.
Town of Mount Pleasant, SC; Wage Study
Evergreen was retained by the Town of Mount Pleasant to conduct a Wage Study. Note: Evergreen was previously hired in 2017 to conduct a Wage and Compensation Study, Benefits Survey, and Evaluation Process.
City of Palm Springs, CA; Comprehensive Classification and Compensation Study
Evergreen was retained by the City of Palm Springs to conduct a Comprehensive Classification and Compensation Study. The objectives of this study are to: attract and retain qualified employees by ensuring compensation is competitive within the market; ensure positions with similarity in complexity, responsibility, knowledge, skills, and abilities are classified together; provide salaries in proportion with assigned duties; ensure that promotional opportunities are clearly defined and provide recognizable compensation growth; offer justifiable pay differential between individual classes; maintain competitive salaries and benefits in comparison to other regional government entities; and offer recommendations as to how the City can better align its compensation system with industry best practices where applicable.
Harford County, MD; Classification and Compensation Study and Time Use Study
Evergreen was retained by Harford County to conduct a Classification and Compensation Study for the County’s 1,200 full-time employees. The purpose of this study is to address changes in the County’s operations and staffing. The objectives of this study are to: attract and retain qualified employees; ensure positions performing similar work with essentially the same level of complexity, responsibility, and knowledge, skills, and abilities are classified together; provide salaries matching with assigned duties; clearly outline promotional opportunities and provide recognizable compensation growth; provide justifiable pay differential between individual classes; and maintain a competitive position with other comparable government entities and private employers within the same geographic area proposed by the consultant with consideration from the County; and implement strategies to improve efficiency, streamline processes, optimize productivity.
City of Freeport, TX: Compensation/Salary Survey
Evergreen was hired by the City of Freeport to conduct a Compensation/Salary Survey. Evergreen will perform the following tasks: recommend classification and pay administration practices consistent with proposed compensation and benefits program; review current pay philosophy, pay policies and methods; propose a policy and procedure to address compensation for external recruitment; and review existing benefits structures and develop realistic recommendations for improvement to ensure competitiveness.
Collier County Public Schools, FL: Classification and Compensation Study
Evergreen was hired by Collier County Public Schools to conduct a Classification and Compensation Study. Note: Evergreen was previously hired by Collier County Public Schools to conduct a Classification and Compensation Study in 2024.
Irmo Chapin Recreation Commission, SC: Comprehensive Classification, Compensation and Benefits Study
Evergreen was hired by Irmo Chapin Recreation Commission to conduct a Comprehensive Classification, Compensation and Benefits Study. The purpose of the study is to ensure our compensation structure is competitive, equitable, and aligned with industry standards for full-time and part-time positions. Evergreen will perform the following task: review current salary data to identify internal pay disparities; assess job classifications and corresponding pay to ensure internal equity across all employee groups; provide market comparisons for each job classification to evaluate competitiveness in the labor market; provide recommendations for improving or enhancing benefits and incentives to be competitive in the market; review agency’s job classification structure and make recommendations of any revisions; and provide guidance on how to maintain equitable pay structures and make adjustments based on future market trends.