Monte Carlo Staffing Simulator

From deterministic guesses to probabilistic confidence

Traditional Erlang calculations give you one number. Reality gives you a distribution. This simulator runs Monte Carlo simulations varying call volume, handle time, shrinkage, and occupancy simultaneously to produce probability distributions for your FTE requirement. See the P10 through P90 range, understand where risk concentrates, and compare Monte Carlo results against traditional Erlang to quantify how much uncertainty your deterministic model is hiding. Configure distributions (Normal, PERT, Triangular, Uniform), set confidence levels, and generate executive reports that communicate staffing risk in language leadership understands.

Monte Carlo Staffing Simulator

Run thousands of simulations to model staffing outcomes under uncertainty — move beyond single-point Erlang estimates