The document discusses smarter approaches to closed loop customer feedback. It summarizes a study that found 30% of customers reported negative critical incidents, and 50% of those were dissatisfied with how issues were resolved. It argues that companies need to optimize feedback investments by targeting responses based on incident type and customer profiles/histories. Algorithms can help suggest appropriate responses to maximize return on feedback program investments.