Metallic materials are of great technological importance in almost all daily manufacturing and application scenarios and in social areas such as the energy and construction sectors. As the production of these demanding materials from the raw material has particularly high energy costs recycling strategies, i.e. the use of significant amounts of scrap metals, and impurity-intolerant raw material mixtures play a prominent role. As an optimized microstructure must be set due to the changed chemistry in order to achieve the technically relevant mechanical target parameters, such as strength and ductility, a staggered approach is expedient here. In this way, the changed chemistry can be used to design microstructures with complex phase-field models, taking into account the manufacturing process management. The resulting microstructures can be mechanically characterized in a second step, e.g. with the Finite Element Method (FEM). The (long-term) aim is now to optimise these microstructures for the mechanical parameters based on an inverse design. Once this has been found, the manufacturing process control should be taken into account in a second inverse design step using the phase-field model to adjust to the target microstructure. Thus, the main focus is on exploring the dependencies in the process-structure-property (PSP), particularly with regard to the inverse design of microheterogeneous materials. On that, for the inverse design of a dual-phase steel with optimized polycrystalline microstructure. This contributions focus on the first steps and basic investigations to enrich this design process with empirical values and basic data. Following the influences of different types of two-phase microstructures on both the effective and local mechanical properties are examined. In addition to the volume fraction of the inclusion phase, various statistical distributions and clusterings of inclusions and variations in the stiffness ratios between the material phases will be considered.