While it may seem counter-intuitive, sometimes the benchmark for a lower level employee is higher than that of a higher level employee. This is due to the fact that our dataset consists of data provided by multiple companies.
In instances where a data slice is dominated by one particular company, we can see the following variances in the data:
- If the company pays well, this could lead to the data slice showing a higher benchmark for lower level employees than higher level employees.
- If the company does not pay well, this could cause benchmarks for higher level employees to display lower values than lower level employees.
When this happens, we advise customers to look at the adjacent levels for the impacted role and come up with a smooth-line distribution between the varying levels.