This paper is concerned with the feedforward and feedback control performance assessment of linear time-variant processes. The developed algorithms provide a way to calculate the time-varying minimum-variance feedforward and feedback control benchmark from routine operating data. The proposed techniques are illustrated through a simulated stirred-tank heater example and an industrial application.