Payfederate makes bulk job pricing incredibly efficient. We can import large job lists, match them to survey data using AI suggestions, and generate market pricing insights at scale. The survey management features are also robust and we can manage multiple surveys across providers, apply aging, cuts, and differentials, and standardize data all in one place. It saves us countless hours and improves consistency.

PayFederate has made multi-survey job matching incredibly easy and scalable for us. We can load our job data once and review matches across multiple survey providers using both AI and manual review, which saves a huge amount of time. I love that we can apply different survey cuts, premiums, and geographic adjustments all in one place. The ability to build composite matches and override selections when needed gives us the flexibility and control we need to get the most accurate results.

Payfederate makes it incredibly easy to create, customize, and analyze pay structures for multiple markets. The system allows us to build job families, levels, and grades, and then apply anchor benchmarks to generate structured pay ranges. The analytics engine also flags outliers, internal inconsistencies and allow to create cost analysis— allowing us to make smarter, data-driven compensation decisions. It’s a huge time-saver and ensures consistency across business units.