This article presents a method for quantifying short-range order (SRO) in medium- and high-entropy alloys (M/HEAs) using atom probe tomography (APT). SRO refers to the tendency of atoms in a material to form preferred or non-preferred nearest-neighbour arrangements. The study addresses the challenge of accurately measuring SRO in multicomponent alloys, which is critical for understanding their mechanical properties. The authors developed an approach that balances the limitations of APT with the threshold values of SRO to map regions where atomistic neighbourhood information is preserved. They applied this method to a CoCrNi alloy to monitor SRO changes under different heat treatments. The study highlights the importance of SRO in M/HEAs, which are promising materials for engineering applications due to their combination of strength and ductility. However, the presence and impact of SRO in these alloys remain debated. The authors demonstrate that SRO can be measured using APT, which provides high-resolution three-dimensional atomic information. They also show that SRO can be quantified through computational simulations, enabling the generation of atomic neighbourhood models that match experimental data. The study addresses two key challenges in SRO measurement: the uncertainty in ion trajectories and the finite efficiency of APT detectors. The authors developed a data science approach to correct for these issues and accurately determine SRO values. They validated their method using simulated data and experimental results, showing that SRO can be reliably measured in M/HEAs. The results indicate that SRO can be engineered through materials processing, which has implications for the design and development of M/HEAs and other materials systems where SRO may occur. The study also compares SRO measurements in two samples of CoCrNi alloy (AH and AN500) and finds that annealing significantly affects SRO. The results show that certain atomic pairs, such as Cr–Cr and Ni–Ni, tend to cluster, while others, such as Cr–Ni and Ni–Cr, exhibit anti-clustering. These findings support the idea that SRO plays a crucial role in the microstructure and mechanical properties of M/HEAs. The study concludes that APT, combined with data science techniques, provides a powerful tool for quantifying SRO in complex materials systems.This article presents a method for quantifying short-range order (SRO) in medium- and high-entropy alloys (M/HEAs) using atom probe tomography (APT). SRO refers to the tendency of atoms in a material to form preferred or non-preferred nearest-neighbour arrangements. The study addresses the challenge of accurately measuring SRO in multicomponent alloys, which is critical for understanding their mechanical properties. The authors developed an approach that balances the limitations of APT with the threshold values of SRO to map regions where atomistic neighbourhood information is preserved. They applied this method to a CoCrNi alloy to monitor SRO changes under different heat treatments. The study highlights the importance of SRO in M/HEAs, which are promising materials for engineering applications due to their combination of strength and ductility. However, the presence and impact of SRO in these alloys remain debated. The authors demonstrate that SRO can be measured using APT, which provides high-resolution three-dimensional atomic information. They also show that SRO can be quantified through computational simulations, enabling the generation of atomic neighbourhood models that match experimental data. The study addresses two key challenges in SRO measurement: the uncertainty in ion trajectories and the finite efficiency of APT detectors. The authors developed a data science approach to correct for these issues and accurately determine SRO values. They validated their method using simulated data and experimental results, showing that SRO can be reliably measured in M/HEAs. The results indicate that SRO can be engineered through materials processing, which has implications for the design and development of M/HEAs and other materials systems where SRO may occur. The study also compares SRO measurements in two samples of CoCrNi alloy (AH and AN500) and finds that annealing significantly affects SRO. The results show that certain atomic pairs, such as Cr–Cr and Ni–Ni, tend to cluster, while others, such as Cr–Ni and Ni–Cr, exhibit anti-clustering. These findings support the idea that SRO plays a crucial role in the microstructure and mechanical properties of M/HEAs. The study concludes that APT, combined with data science techniques, provides a powerful tool for quantifying SRO in complex materials systems.