Breaking a goal into small, manageable parts can be an effective strategy to help people achieve their goals. However, deciding how to divide a goal into smaller subgoals can be nearly as challenging as achieving the goal directly. We have developed a computational method for computing optimal subgoals for human problem-solving [] based on resource-rational models of human goal-pursuit []. We also evaluated whether a similar method could be used to help people set personal goals [].