The concept of a metamodel has been an important tool for simulation analysis for forty years. These models of simulation models have the advantage of faster execution, and they can (sometimes) provide insight on the nature of the simulation response as a function of design and input distribution parameters. This introductory tutorial will describe metamodeling uses and associated processes, survey commonly used metamodel types and associated experiment designs, and give a brief description of some recent developments and how they may affect future “mainstream” simulation metamodeling.