How do we choose which surveys to use?
There is a lot of benchmarking data available and it breaks down into two main categories:
- Primary sources: These are surveys where the publisher collects data from employers (often on an employee-by-employee basis). These surveys generally have a job matching approach based on defined jobs and/or classes of job and may be supported by an underlying job sizing methodology.
- Secondary sources: These are surveys that may contain recruitment data, details of salary ranges (as opposed to actual pay) and surveys that rely on employees providing data about their jobs and their pay.
When choosing which surveys to buy, start off by asking the survey publisher to provide you with a list of jobs covered, some details about the job-matching approach, a participant list and a sample report. Ask yourself the following questions:
- Does the survey contain jobs that are relevant to my organisation?
- Is the job matching approach robust?
- How easy will it be for me to match my jobs to the survey jobs?
- Are the survey participants relevant to my organisation?
- Is the survey report easy to use and does it provide the data I am looking for?
It’s very likely that only a small number of the surveys that are available will tick all the boxes. You may have to use several sources to cover all your roles, because some surveys focus on specific industries, some on specific functions, and some on specific locations.
How do we interpret the results?
Having participated in the right surveys, you need to review the information provided. Most surveys analyse the cash elements of the package individually e.g. base pay, bonus payments, etc., some combine all the cash elements into a total compensation figure. Many examine the key benefits e.g. holidays, private medical, pension scheme, company car etc.
To maximise the value of the survey, you need to be clear about your desired market position and what you want to achieve. Analysis of the data will then inform you as to where your reward policies and practice sits in comparison to your preferred position and the levels paid by your comparator groups. From this you can then review the approach to your cash and non-cash elements to create a well-balanced overall package.
In summary salary benchmarking is neither an art or a science, it’s both! Considering the information provided requires both interpretation and decision making skills to enable you to use the results appropriately. The data will be telling you a story; it’s then all about how you translate this into your reward approach to gain competitive advantage.
