The amount of time it takes to complete the survey will depend on the number of survey jobs you are able to match. It shouldn’t take you longer than 2 to 3 minutes to submit pay data for each employee per job title.
If you have a payroll provider like ADP or Paychex, you may already be receiving standard reports that provide base pay data for your employees. If not, request a report that provides base pay information as well as bonus data if applicable. As you know, each type of “earnings” has a unique code in the payroll system (i.e., base pay is coded differently than bonus). You can request a report from your payroll provider or payroll department that shows the different types of earnings by employee. If you have your own in-house payroll department, they should be able to provide you with the required information. Alternatively, you may need to consult with your accounting or finance department.
You do not have to complete the entire survey in one sitting. The survey submission deadline is April 30, 2019, and you can save your work and come back to the survey when you get the next opportunity.
There are 2 options: You can complete the compensation survey online or by downloading the survey Excel file. The Excel file duplicates all the fields of the online survey, including drop-down menus to select responses. You may prefer to use the Excel file as an at-a-glance, comprehensive document to submit your pay data. Once you’ve entered your pay data into the Excel file, email the completed Excel file to Fran Mueseler, email@example.com.
Please contact Fran Mueseler, CEO of PEOPLEMatters Compensation Resources, at 818-324-0035 or firstname.lastname@example.org. Fran is the person responsible for collecting, auditing, and analyzing all survey data. She is here to help you, and promises to respond within 24 hours.
Knowledge is power, and the entire industry wins when we all participate. I believe that each of us, as responsible parties for pay and benefits decisions within our respective organizations, will find this empirical data, designed specifically for our industry, highly useful.