Decision Intelligence: Pitfalls & Impacts

This unit focuses on diagnosing and mitigating common decision-making failures by applying systems thinking, risk assessment, and data-quality techniques. Students will examine cognitive biases, framing effects, ethical implications (e.g., redlining), and automation opportunities to direct business impacts toward defined organizational goals.

Learning Objectives

• Analyze complex decision scenarios to identify cognitive biases, framing errors, overconfidence, and missing-data problems, and estimate their likely impacts on business outcomes
• Apply systems-thinking and basic risk-assessment techniques to model interconnected impacts, detect decision singularities, and prioritize interventions including hyperautomation opportunities
• Evaluate ethical, legal, and equity implications of decisions (such as discriminatory lending practices) and recommend mitigation strategies that align decisions with organizational goals
• Demonstrate practical methods to improve decision quality—conduct reality checks, limit assumptions, reconcile conflicting perspectives, and produce an action plan to measure and monitor impacts