Method and system for question prioritization based on analysis of the question content and predicted asker engagement before answer content is generated

A system comprising:

• a software system;
• a question and answer based customer support system through which question data can be entered by users of the software system, the question data representing questions;
• low asker engagement probability predictor data representing low asking user engagement probability predictors that, when present in question data submitted by a user, indicate a low probability of asking user engagement once the asking user has submitted question data representing the asking user's question;
• a question receiving module, the question receiving module for receiving, through a question submission user interface, question data representing a question submitted by an asking user through the question and answer based customer support system, the question submission user interface configured to receive, as a component of the question data, textual data, audio data and symbolic data;
• a question analysis module, the question analysis module parsing the question data and analyzing the attributes, subject matter, and format of the question, the question analysis module further analyzing, before allocating support resources to generating answer data related to the question data, only the parsed question data to determine if the question data includes one or more low asking user engagement probability predictors and therefore represents a low engagement probability question, the low asking user engagement probability predictors including at least that the question is improperly punctuated, that the question is in an improper question format, that the asking user is associated with a free version of the software system, and that the asking user is a new user of the software system;
• and
• a resource allocation module, the resource allocation module allocating support resources to generating answer data associated with received question data, and, upon a determination being made, based on the analysis only of the parsed question data, that the question data represents a low engagement probability product question, allocating professional agent support resources to generate answer data related to the question data on a low priority basis, the resource allocation module further allocating volunteer support resources, upon a determination being made that the question data represents a low engagement probability subject matter question, the resources allocation module only allocating support resources after all high priority basis questions are allocated resources.