Divergent trend detection and mitigation computing system

A computing device comprising:

• at least one processor;
• and
• a memory coupled to the processor, the memory storing instructions that, when executed, cause the at least one processor to:
• identify an action related to a robo-advisor and performed by an institution that is directed to a set of customers, wherein the action includes advice provided by the robo-advisor;
• identify a probabilistic distribution of reactions to the action of the set of customers in response to identifying the action;
• gather a set of reactions of the set of customers to the action, wherein the set of reactions includes at least one reaction for each customer of the set of customers;
• determine that the set of reactions is within a threshold percentage of the probabilistic distribution;
• identify a plurality of identifying characteristics of customers of the set of customers, wherein at least some of the plurality of identifying characteristics are mutually exclusive with others of the plurality of identifying characteristics;
• identify a subset of customers in which each customer of the subset relates to a common identifying characteristic of the plurality of identifying characteristics, wherein identifying the subset includes identifying a corresponding subset of reactions of customers of the set of customers;
• determine that the subset of reactions of the subset of customers is more than the threshold percentage outside of the probabilistic distribution;
• and
• perform one or more mitigating actions to alter the advice provided by the robo-advisor such that the subset of reactions are less than or equal to the threshold percentage outside of the probabilistic distribution.

A non-transitory computer-readable medium comprising instructions, that when executed, cause one or more processors of a computing device to:

• identify an action related to a robo-advisor and performed by an institution that is directed to a set of customers, wherein the action includes advice provided by the robo-advisor;
• identify a probabilistic distribution of reactions to the action of the set of customers in response to identifying the action;
• gather a set of reactions of the set of customers to the action, wherein the set of reactions includes at least one reaction for each customer of the set of customers;
• determine that the set of reactions is within a threshold percentage of the probabilistic distribution;
• identify a plurality of identifying characteristics of customers of the set of customers, wherein at least some of the plurality of identifying characteristics are mutually exclusive with others of the plurality of identifying characteristics;
• identify a subset of customers in which each customer of the subset relates to a common identifying characteristic of the plurality of identifying characteristics, wherein identifying the subset includes identifying a corresponding subset of reactions of customers of the set of customers;
• determine that the subset of reactions of the subset of customers is more than the threshold percentage outside of the probabilistic distribution;
• and
• perform one or more mitigating actions to alter the advice provided by the robo-advisor such that the subset of reactions are less than or equal to the threshold percentage outside of the probabilistic distribution.