Longitudinal models provide researchers with a framework for investigating key aspects of change over time, but rarely is "time" itself modeled as a focal parameter of interest. Rather than treat time as purely an index of measurement occasions, the proposed Time to Criterion (T2C) growth model allows for modeling individual variability in, as well as predictors and distal outcomes of, the time to achieve a given outcome. The T2C model is a reparameterization of a linear latent growth model, drawing from the work on growth model reparameterizations by Preacher and Hancock (2012; 2015). The derivation, assumptions, and interpretation of the proposed model are outlined below. A real data demonstration follows.