Abstract: A processing unit includes a contribution-degree calculation unit configured to calculate contribution degrees that indicate respective degrees by which a plurality of attribute items included as predetermined attributes of one target contribute to a predicted intervention effect, the calculating being performed on a basis of an estimation model for estimating the predicted intervention effect from the predetermined attributes of the one target. The predicted intervention effect on the one target is a numerical value corresponding to an increase in gain to a beneficiary, the gain being expected to be larger in a case where an intervention is implemented to the one target than in a case where the intervention is unimplemented to the one target.

Abstract: A target user specification unit that specifies a specific action user indicated by action history information included in user data to have reached a specific state as an analysis target user and specifies a user different from the analysis target user as a comparison target user, a comparison analysis unit that analyzes feature information of the analysis target user having peculiarity with respect to the feature information of the comparison target user, and an analysis result output unit that outputs an analysis result thereof are provided, and by comparing the feature information on the action history between the user (analysis target user) who has reached the specific state and the other users (comparison target users) and by analyzing and outputting feature information peculiar to the analysis target user, it is possible to grasp the feature information on the peculiar action history when the user has reached the specific state.