Fractional factorial designs are experimental designs that use only a subset of possible factor combinations. Typically, some factors (i.e., main effects) are intentionally confounded with some interactions. This makes the confounded interactions impossible to estimate, but allows equivalent statistical power to detect the effects the experimenter does care about with a smaller $N$ for the study.