A new stochastic aggregated dynamic incentive evaluation method based on organizational goal attainment is proposed for the problem of interval-type dynamic uncertain incentive evaluation. Firstly, this study aims to support the organization’s overall objective by presenting a management approach based on the present (development status value) and the future (growth trend value), a method for assigning indicators that integrates the probability of superiority and the difference of superiority is proposed for dynamic uncertain decision environments in order to reduce the uncertainty in the evaluation and to increase the degree of difference between the evaluated objects in order to promote the implementation of decisions? Additionally, a method is presented for measuring the average level of development of an organization’s sub-goals, which provides data to support the measurement of the overall level of balanced development of the organization? Based on this, a new incentive evaluation method is proposed based on the achievement of organizational goals through flexible rewards and punishments to guide the balanced development of organizational goals. Finally, this research method’s characteristics and advantages are demonstrated through numerical examples. Information on the evaluation conclusions oriented towards the three basic management situations and comparative analyses is provided to further demonstrate the prospects for the application of this research method in management practice.