Pay Modelling & Affordability

Building pay scenarios that decision-makers can compare

Pay modelling translates reward proposals into a transparent view of cost, employee outcomes and trade-offs. The starting point is an agreed baseline: who is included, which pay elements are counted and whether costs are expressed as an annual run rate or an in-year impact. Without these definitions, apparently comparable options can tell different stories.

Separate assumptions from calculations

Record headcount, vacancies, planned starters and leavers, effective dates and employer on-cost assumptions. Distinguish contractual commitments from discretionary proposals. Inputs should be traceable, with missing or uncertain data flagged rather than silently treated as zero.

Compare meaningful alternatives

Scenarios might test a general increase, targeted market corrections, range changes or a staged implementation. Examine outcomes by grade, job family and relevant workforce group, not just the overall average. Sensitivity tests show how results move when recruitment volume or implementation timing changes.

Is the cheapest scenario the best recommendation?

No. A lower immediate cost may leave important retention, fairness or operational concerns unresolved. The model should make those trade-offs visible, alongside affordability limits and recurring commitments. Decision-makers can then choose an option with a clear understanding of what it does and does not address.

What makes a model useful after approval?

Clear input fields, documented rules, version control and a reconciliation to payroll make it easier to implement and review. We connect market evidence, reward analytics and pay-equity corrections with practical budget decisions.