We utilize the capacity coefficient to characterize the workload capacity of visual multitasking. The capacity coefficient compares cognitive work completed on multiple information sources against a baseline parallel model prediction. Capacity coefficient results subsume standard mean response time (RT) dual-task findings while providing a description of workload effects on the whole RT distribution. This yields a theoretically-grounded characterization that can inform computational and process models of multitasking.