Method for the characterization of a multispecific species, said multispecific species being capable of binding at least two different defined targets, said method comprising the steps of a) providing, for each target, at least one solid support with only one target immobilized; b) providing at least one solid support with at least two targets immobilized; c) contacting each solid support having only one target immobilized with a liquid containing a predefined concentration of said multispecific species and detecting in a time resolved manner the progress of the interaction of said multispecific species with the target on said solid support, so as to create at least one single-target binding curve for each target; d) contacting each solid support having at least two targets immobilized with a liquid containing a predefined concentration of said multispecific species and detecting in a time resolved manner the progress of the interaction of said multispecific species with the targets on said solid support, so as to create at least one multi-target binding curve for each combination of targets; e) processing each binding curve in a processor to produce a multidimensional fingerprint, said multidimensional fingerprint being a representation of the binding curve being processed; f) in each of the multidimensional fingerprints of single-target binding curves, identifying the single dominant feature as the characteristic value for the isolated interaction of said multispecific species to the only target immobilized on the solid support; g) in the multidimensional fingerprint of a multi-target binding curve, comparing the features of the multi-target multidimensional fingerprint to the characteristic values of the single-target multidimensional fingerprint for the targets present in said multi-target multidimensional fingerprint and calculating the greatest improvement from any of the characteristic values to the closest feature(s) in the multi-target multidimensional fingerprint as the change in binding characteristics due to multispecificity; wherein said calculating the greatest improvement is conducted as one of I. improvement in terms of apparent binding affinity II. improvement in terms of reduced dissociation rate III. improvement in terms of increased association rate IV. improvement in terms of weight of the dominant peak a) providing, for each target, at least one solid support with only one target immobilized; b) providing at least one solid support with at least two targets immobilized; c) contacting each solid support having only one target immobilized with a liquid containing a predefined concentration of said multispecific species and detecting in a time resolved manner the progress of the interaction of said multispecific species with the target on said solid support, so as to create at least one single-target binding curve for each target; d) contacting each solid support having at least two targets immobilized with a liquid containing a predefined concentration of said multispecific species and detecting in a time resolved manner the progress of the interaction of said multispecific species with the targets on said solid support, so as to create at least one multi-target binding curve for each combination of targets; e) processing each binding curve in a processor to produce a multidimensional fingerprint, said multidimensional fingerprint being a representation of the binding curve being processed; f) in each of the multidimensional fingerprints of single-target binding curves, identifying the single dominant feature as the characteristic value for the isolated interaction of said multispecific species to the only target immobilized on the solid support; g) in the multidimensional fingerprint of a multi-target binding curve, comparing the features of the multi-target multidimensional fingerprint to the characteristic values of the single-target multidimensional fingerprint for the targets present in said multi-target multidimensional fingerprint and calculating the greatest improvement from any of the characteristic values to the closest feature(s) in the multi-target multidimensional fingerprint as the change in binding characteristics due to multispecificity; wherein said calculating the greatest improvement is conducted as one of I. improvement in terms of apparent binding affinity II. improvement in terms of reduced dissociation rate III. improvement in terms of increased association rate IV. improvement in terms of weight of the dominant peak I. improvement in terms of apparent binding affinity II. improvement in terms of reduced dissociation rate III. improvement in terms of increased association rate IV. improvement in terms of weight of the dominant peak