Decision Intelligence: Systems, Bias, and Risk

This capstone unit advances students’ ability to diagnose and improve real-world business decisions by integrating systems thinking, risk assessment, and bias mitigation. Students will apply tools and techniques (including automation and simulation) to detect data issues, reduce framing and cognitive errors, and direct organizational impacts toward common goals.

Learning Objectives

• Analyze business decisions using systems thinking to identify upstream and downstream impacts, decision singularities, and leverage points
• Evaluate risk factors, ethical considerations, and automation (hyperautomation) opportunities to recommend mitigation strategies that align with organizational goals
• Apply quantitative and qualitative methods to detect and solve for missing or misleading data (including percent-based misinterpretations) and to adjust models for framing and assumption errors
• Demonstrate strategies to reduce cognitive biases (e.g., overconfidence, conformity, framing foibles, prejudice) and synthesize multiple stakeholder perspectives to improve decision outcomes