Analytical generator of key performance indicators for pivoting on metrics for comprehensive visualizations

A guidance system of an industrial process captures process parameter data that is correlated with a human-machine interface (HMI) in order to learn how an experienced operator selects visualizations of key performance indicators (KPI) in order to take a corrective action to address an abnormal or non-optimal performance condition. Such solution learning can be invoked to recognize onset of another similar occurrence and responding by suggesting visualizations utilized by the experienced operator to diagnose the problem. Analytics can further determine which visualizations provided useful information relative to the problem. In addition, the corrective action can be suggested or automatically implemented.