Dynamic adaptation of mitigative content data based on machine learning engagement monitoring

A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• determine a set of users that utilize a common policy provider and are predicted to be affected by a catastrophic event;
• for each respective user of the set of users, determine a set of unique property characteristics of the respective user;
• based on the unique property characteristics of the respective user, transmit, over one or more networks, interactive content data to a computing device of the respective user, the interactive content data causing the computing device of the respective user to present interactive mitigation content comprising a customized set of tasks to perform, based on the unique property characteristics of the respective user, to mitigate and/or prevent loss resulting from the catastrophic event;
• during each of one or more interactive sessions in which the respective user engages with the interactive mitigation content, initiate a live engagement monitor implementing machine learning to (i) receive, over the one or more networks, engagement data from the computing device of the respective user, the engagement data indicating interactions by the respective user with the interactive mitigation content presented on the computing device of the respective user, and (ii) based on the engagement data from the computing device of the respective user, dynamically adapt the interactive mitigation content to induce or increase user engagement by the respective user with the interactive mitigation content and encourage performance of the customized set of tasks;
• receive, over the one or more networks, feedback data from the computing device of the respective user, the feedback data indicating whether the respective user has performed one or more of the customized set of tasks prior to the catastrophic event;
• based at least in part on the feedback data received from each respective user predicted to be affected by the catastrophic event, generate an exposure risk set for the common policy provider of the set of users;
• and
• transmit, over the one or more network, the exposure risk set generated for the common policy provider to a computing system of the common policy provider.

A computer-implemented method of managing a catastrophic event service, the method being performed by one or more processors and comprising:

• determining a set of users that utilize a common policy provider and are predicted to be affected by a catastrophic event;
• for each respective user of the set of users, determining a set of unique property characteristics of the respective user;
• based on the unique property characteristics of the respective user, transmitting, over one or more networks, interactive content data to a computing device of the respective user, the interactive content data causing the computing device of the respective user to present interactive mitigation content comprising a customized set of tasks to perform, based on the unique property characteristics of the respective user, to mitigate and/or prevent loss resulting from the catastrophic event;
• during each of one or more interactive sessions in which the respective user engages with the interactive mitigation content, initiating a live engagement monitor implementing machine learning to (i) receive, over the one or more networks, engagement data from the computing device of the respective user, the engagement data indicating interactions by the respective user with the interactive mitigation content presented on the computing device of the respective user, and (ii) based on the engagement data from the computing device of the respective user, dynamically adapt the interactive mitigation content to induce or increase user engagement by the respective user with the interactive mitigation content and encourage performance of the customized set of tasks;
• receiving, over the one or more networks, feedback data from the computing device of the respective user, the feedback data indicating whether the respective user has performed one or more of the customized set of tasks prior to the catastrophic event;
• based at least in part on the feedback data received from each respective user predicted to be affected by the catastrophic event, generating an exposure risk set for the common policy provider of the set of users;
• and
• transmitting, over the one or more network, the exposure risk set generated for the common policy provider to a computing system of the common policy provider.