The article addresses the issue of dynamic hysteresis in perovskite solar cells, which is a significant challenge for reliable steady-state performance assessment. The authors identify the root cause of this problem in the complex current transient phenomena that occur during staircase voltammetry. They propose a method to predict a minimum time delay based on the dynamic characteristics of the slow transient responses, which can help estimate the power conversion efficiency under steady-state conditions. The study uses circuit-element analysis and impedance spectroscopy to confirm their predictions. The results suggest a way to reduce data acquisition time while maintaining reliable performance assessment, providing valuable insights for the systematic production of photovoltaic perovskites. The authors also present a detailed experimental protocol for determining the stationary performance of perovskite solar cells with hysteresis effects, which significantly reduces measurement time compared to conventional methods.The article addresses the issue of dynamic hysteresis in perovskite solar cells, which is a significant challenge for reliable steady-state performance assessment. The authors identify the root cause of this problem in the complex current transient phenomena that occur during staircase voltammetry. They propose a method to predict a minimum time delay based on the dynamic characteristics of the slow transient responses, which can help estimate the power conversion efficiency under steady-state conditions. The study uses circuit-element analysis and impedance spectroscopy to confirm their predictions. The results suggest a way to reduce data acquisition time while maintaining reliable performance assessment, providing valuable insights for the systematic production of photovoltaic perovskites. The authors also present a detailed experimental protocol for determining the stationary performance of perovskite solar cells with hysteresis effects, which significantly reduces measurement time compared to conventional methods.