Data Driven Performance and Visibility Questions

Covers the practices and systems used to make program and operational performance transparent, measurable, and actionable. Topics include selecting and defining meaningful metrics and key performance indicators, distinguishing leading and lagging indicators, setting targets and thresholds, and designing dashboards and reports for different audiences. Includes tracking schedule variance, budget variance, team capacity utilization, quality metrics, burn down rates, and other program health signals. Emphasizes establishing appropriate measurement cadence such as daily stand ups weekly reviews and monthly business reviews, creating feedback loops for continuous learning, and using data to detect issues early and drive course corrections and trade off decisions. Also includes governance around data quality ownership access controls and how measurement creates accountability and informs stakeholder communication.