A conceptual model of individual assessment through the use of biodata responses with minimal input information is outlined. The process is considered especially applicable to industrial psychology. A scored autobiographical data form, which measures the individual's past behavior and experiences, provides for assignment to a specific subgroup characterized by a cluster of distinctive behavioral actions as determined by marker variables. It is expected that the use of such subgroups for additional experiments and field studies in psychological and behavioral science research will in turn provide more feedback definition of the subgroups. The factoral dimensions of the subgroup profiles include: academic achievement, tough-mindedness, goals, authoritarianism, and maladjustment. Assumptions emerging from the study are that past behavior is a good predictor of concurrent and future behavior, and confidence in post hoc validity of biodata-based subgrouping appears justified. The model's thesis is that distinctive, differental behavior can be associated with subgroup membership and by matching an individual's biodata profile with the subgroup profile modal behavior for the individual can be predicted. Present performance, promotability, sociability, motivation, managerial style, individual responsibility, innovativeness are seen as predictor variables in employee behavior through implementation of the model. Advantages and disadvantages of the model are also included. Statistical data on subgroup validity is presented. (AE)