KPIs, reports, and dashboards provide real-time insights into what people believe and assume are important to their business and their customers—but are those beliefs and assumptions accurate? As commoditization and changes in customer preferences influence the evolution of technology, organizations can leverage the capabilities of predictive analytics. Predictive analytics are replacing beliefs and assumptions by continually validating the data relationships within success plays, performance metrics, and business outcomes. TSIA provides a framework for this validation process that ensures managers are asking their team of analysts the right questions and are monitoring their team’s performance accordingly. Non-technical managers are the primary target audience for this paper. However, technical analysts and scientists may find it valuable to understand their manager’s perspective.