ExpertWe posted the same 40-role job architecture across 10 pay transparency platforms and tried to publish compliant ranges for New York, California, Colorado, and the EU at once. The surprise was how few tools kept a single edited band in sync across every live posting without a manual re-publish.
We rebuilt one messy comp plan - tiers, accelerators, a Q4 kicker, and a clawback - inside eight commission platforms and ran three months of deals through each. The finding that reordered our list: the tool that calculated fastest was not the one reps trusted most.
We ran one annual merit cycle through ten platforms: the same 900-person roster, a 3.4 percent merit pool, and a four-step approval chain. The surprise was how many tools nailed the raise math yet broke on the routing, sending comp back to a spreadsheet at the end to reconcile by hand what the workflow could not.
After loading the same simulated workforce of 1,200 employees into 19 pay equity platforms and running gender, race, and age regressions on each, the most striking finding was how rarely two tools agreed on the size of the gap. Identical inputs, materially different gap percentages, sometimes by a full point or more.