Technologies for implicit feedback using multi-factor behavior monitoring

A method of providing implicit feedback using multi-factor behavior monitoring, the method comprising:

• receiving, by a computing system, a transcript of a conversation between an agent and a user;
• providing, by the computing system, at least one suggestion to the agent via an agent application based on the transcript of the conversation between the agent and the user;
• evaluating, by the computing system, data indicative of behaviors of the agent with respect to the at least one suggestion using machine learning;
• and
• updating, by the computing system, a knowledge base model based on the evaluation of the data indicative of behaviors of the agent with respect to the at least one suggestion using machine learning.

One or more non-transitory machine readable storage media comprising a plurality of instructions stored thereon that, in response to execution by a system, causes the system to:

• receive a transcript of a conversation between an agent and a user;
• provide at least one suggestion to the agent via an agent application based on the transcript of the conversation between the agent and the user;
• evaluate data indicative of behaviors of the agent with respect to the at least one suggestion using machine learning;
• and
• update a knowledge base model based on the evaluation of the data indicative of behaviors of the agent with respect to the at least one suggestion using machine learning.