This paper presents the case for personnel systems based on maximizing the
differential information gathered about individual abilities and their matc
h to jobs. In the context of assignment to multiple jobs, such systems are
shown to be more effective than those based on the currently dominant parad
igm of maximizing predictive validity. The latter paradigm favours the meas
urement of general cognitive ability over multiple specific aptitudes. Rece
nt differential approaches use computer simulation modelling of alternative
hypothetical systems to evaluate potential efficiency. The paper reviews t
he theoretical background on the structure of human abilities which has Lod
to these contrasting approaches to personnel system design, and presents e
vidence, based on the US Army selection and classification system, in suppo
rt of the alternative approach. Individual test/aptitude profiles improve t
he efficiency of personnel selection and classification as well as academic
, vocational and career counselling. They also provide a broader, potential
ly fairer definition of talent than a unidimensional indicator of cognitive
ability, and a foundation for the design of Learning and decision environm
ents around learner and user profiles.