It is well-known that the most economical design from a steady-state economics perspective does not necessarily need to be easily controllable and might, in some extreme cases, even be uncontrollable. It is important to evaluate and quantify the dynamic controllability of a process at the design stage. Mahajanam (Ind. Eng. Chem. Res. 1999, 38, 999-1006) introduced a simple controllability index (ν) to quantify dynamic controllability in terms of economics. The dynamic controllability index is defined as the smallest additional surge capacity required to meet all of the control objectives and constraints dynamically for all of the expected disturbances. The index depends quantitatively on the process design and the control system alternative for each design. It has been found useful to compare plantwide control alternatives quantitatively (AIChE J. 1999(AIChE J. , 45, 1255(AIChE J. -1265. The main difficulty in applying the above method at the design stage is the need for a rigorous dynamic model, which is rarely available at the conceptual design stage. To resolve this difficulty, we propose that the controllability index (ν) be estimated with a steady-state model of the process. The proposed approach is based on several simplifying assumptions and is illustrated with a simple reactor-separator-recycle system.