Error resolution for interactions with user pages

A non-transitory computer-readable medium having instructions stored thereon that are executable by a computing device to perform operations, comprising:

• implementing a monitoring agent that interfaces with a user page for a transaction service, the monitoring agent monitoring the user page for errors related to interactions between users and the transaction service;
• detecting, through the monitoring agent, an occurrence of an error during an interaction of a user with the transaction service;
• determining, in response to detecting the occurrence of the error through the monitoring agent, at least one causal factor for the error, wherein the at least one causal factor is determined based on the error and at least one contextual data item related to the interaction of the user with the transaction service, wherein the at least one contextual data item includes one or more images of the user page at a time of the error, and wherein the at least one causal factor is determined, at least in part, by providing the error and the images of the user page to a machine learning algorithm;
• determining data needed to resolve the error based on the at least one causal factor;
• accessing the data needed to resolve the error;
• determining a resolution flow based on the at least one causal factor, wherein the resolution flow is determined by accessing, from a database of rules for errors and learned error resolution flows, at least one rule and at least one learned error resolution flow corresponding to the at least one causal factor;
• and implementing, through the monitoring agent, the resolution flow, wherein the resolution flow includes information usable by the monitoring agent for implementation in the user page and for resolving the error based on receiving the data needed to resolve the error.

A method, comprising:

• receiving, at a computer system, from a monitoring agent interfacing with a user page for a transaction service, an error signal indicating an occurrence of an error related to an interaction of a user with the transaction service;
• determining, by the computer system, at least one causal factor for the error in response to receiving the error signal indicating the error, wherein the at least one causal factor is determined based on the error signal and at least one contextual data item related to the interaction of the user with the transaction service, wherein the at least one contextual data item includes one or more images of the user page at a time of the error, and wherein the at least one causal factor is determined, at least in part, by providing the error signal and the images of the user page to a machine learning algorithm;
• determining, by the computer system, data needed to resolve the error based on the at least one causal factor, wherein the data needed to resolve the error includes data needed from the user to resolve the error;
• determining, by the computer system, a resolution flow based on the at least one causal factor, wherein the resolution flow is determined by accessing, from a database of rules for errors and learned error resolution flows, at least one rule and at least one learned error resolution flow corresponding to the at least one causal factor;
• and transmitting to the monitoring agent, by the computer system, the resolution flow, wherein the resolution flow includes information usable by the monitoring agent for implementation of a request in the user page for the data needed from the user to resolve the error and for resolving the error based on receiving the data needed from the user to resolve the error.