Anita's recommendation: use the point factor job evaluation method
Anita's recommendation for how to achieve this is the point factor method. It isn’t the only valid approach – you can use whatever method you choose to evaluate value, as long as it’s objective, repeatable, and defensible.
But it is a structured approach to job evaluation that has already been tested in pay discrimination court cases across Europe and consistently holds up.
"Fortunately, this has been done before," Anita says. "From that history, we know that certain methods do a great job. particularly point factor methods. They hold up in court because they're very explainable."
Here's how it works.
- You break down every job into the criteria you’ve determined to contribute to the value of a role – skills, effort, responsibility, working conditions, any other (objective) factors relevant to your organisation.
- Each factor is then divided into sub-factors. For example, under skills you might have experience, education, and ability.
- Then you assign a point value to each factor and sub-factor, weighted by how important that factor is relative to the others
- Those factors, sub-factors, and weighting are then applied to every role to give a point score per role.
Because the same factors are applied for each role at every level, a Marketing Manager and a VP of Marketing will produce different point scores – the VP's greater scope of responsibility, decision-making, and complexity will naturally score higher when put through the same framework.
That's what makes cross-functional comparison especially meaningful: a Marketing Manager at P4 and an HR Manager at P4 might score similarly, identifying them as doing work of equal value, while a VP of Marketing would score higher and sit in a different category.
"A marketing analyst, an HR analyst, and an IT analyst probably couldn't pick up each other's roles tomorrow," Anita explains. "But when you break it down, the analytical capabilities they need to perform at that level might actually be more or less the same.”
“The point factor method lets you measure that – and it becomes a much better way to determine that, in fact, someone in IT and someone in marketing perform similar activities, have similar experience, similar education. So why is there such a wide range in payment?"
This is exactly what the EU Pay Transparency Directive is designed to surface.
Historically, roles in male-dominated functions like IT have commanded a premium over roles in female-dominated functions like HR or marketing – not necessarily because the work is of greater value to the business, but because that's how the market has evolved due to inherent gender discrimination.
Approaches like the point factor method cuts through that assumption, and the Directive gives employees the tools to act on what it finds.