Dynamically modifying systems to increase system efficiency

A non-transitory computer readable storage medium comprising instructions, that when executed by a processor, causing the processor to:

• receive a set of user interaction paths, each path including a set of executed interactions, each set of executed interactions a subset of a plurality of potential interactions between a user of a client device and an application system;
• partition the set of user interaction paths into a first group and a second group, the first group comprising user interaction paths that achieve an outcome of the application system and the second group comprising the remaining user interaction paths;
• for each executed interaction of the user interaction paths:
• analyze the executed interaction to determine an efficiency score and a prevalence score of the executed interaction for the first group and the second group, the efficiency score representing a performance metric of the executed interaction in the application system, and the prevalence score representing the prevalence of the executed interaction in the user interaction paths;
• calculate a success factor for the executed interaction based on the prevalence score and the efficiency score, the success factor describing an effect of the executed interaction on achieving the outcome of the application system;
• and
• modify the application system based on the calculated success factors to increase a likelihood that users of the client device achieve the outcome of the application system.

A system comprising:

• a computer processor;
• a memory storing instructions that, when executed by the computer processor, cause the computer processor to:
• receive a set of user interaction paths, each path including a set of executed interactions, each set of executed interactions a subset of a plurality of potential interactions between a user of a client device and an application system;
• partition the set of user interaction paths into a first group and a second group, the first group comprising user interaction paths that achieve an outcome of the application system and the second group comprising the remaining user interaction paths;
• for each executed interaction of the user interaction paths:
• analyze the executed interaction to determine an efficiency score and a prevalence score of the executed interaction for the first group and the second group, the efficiency score representing a performance metric of the executed interaction in the application system, and the prevalence score representing the prevalence of the executed interaction in the user interaction paths;
• calculate a success factor for the executed interaction based on the prevalence score and the efficiency score, the success factor describing an effect of the executed interaction on achieving the outcome of the application system;
• and
• modify the application system based on the calculated success factors to increase a likelihood that users of the client device achieve the outcome of the application system.