Accurate modeling of the austenite-to-ferrite transformation requires reliable solute drag parameters, yet key interfacial quantities, such as the solute–interface binding energy ( \(E_{\text {b}}\) ), the trans-interface diffusivity ( \(D_{\text {int}}\) ), and the interface width, remain difficult to determine experimentally. Traditional approaches typically constrain these parameters using either transformation kinetics or interfacial segregation data, but each observable alone permits multiple \((E_{\text {b}}, D_{\text {int}})\) combinations, leading to non-unique parameter sets. In this work, a dual-response framework combining ferrite growth kinetics and atom probe tomography (APT) segregation measurements is employed to assess solute drag parameters in Fe–C–Mn, Fe–C–Mo, and Fe–C–Mn–Mo alloys. By consistently applying the same interface description across these systems, the extracted parameter sets are required to reproduce both measured interface velocities and solute segregation behavior. This approach improves the robustness of parameter identification and supports the predictive modeling of phase transformation kinetics in complex alloy systems.
