1. A method for guiding an operator of an industrial process by learning from expertise of another operator, the method comprising: accessing parameter data of an industrial process; accessing human-machine interface (HMI) data and correlating with the accessed parameter data; determining that the parameter data characterizes a problem warranting operator intervention in the industrial process; tracking a process visualization utilized by an operator and a subsequent control correction made by the operator; defining a solution comprising a key performance indicator (KPI) indicative of the problem as characterized; defining the solution further comprising: detecting a plurality of process HMI visualizations utilized by operator; comparing correction parameters presented by the plurality of process HMI visualizations against an optimum set of historical parameter data compiled from the parameter data; and weighting one of the plurality of process HMI visualizations for the solution including generating a weighted HMI visualization based on departure of a selected KPI in a presented HMI visualization from the optimum set of historical parameter data; and presenting the weighted HMI visualization for the KPI, and a control correction that addresses the KPI.