In a split-unit design, different treatment factors are randomized on different unit factors: the design has more than one experimental unit. This leads to different precision of estimates and power of tests, but can have advantages when some treatments are more easily changed than others. We discuss the basic split-unit design in detail and introduce several related designs, such as a split unit blocked on the whole-unit level, simple cross-over designs, and pretest-posttest designs.