Day 1:
Foundations of Decision-Making
Understanding the decision-making process: Key stages and common pitfalls.
Introduction to cognitive biases and their impact on judgment.
Overview of decision-making frameworks (e.g., Cynefin, OODA).
Case study analysis: Lessons from successful and failed decisions.
Day 2:
Psychological and Behavioral Insights
Exploring dual-process theory (System 1 vs. System 2 thinking).
Identifying and mitigating cognitive biases in practice.
Emotional intelligence and its role in effective decision-making.
Group activity: Role-playing scenarios to test bias awareness.
Day 3:
Data-Driven Decision-Making
Leveraging analytics and big data for informed decisions.
Tools and techniques for interpreting complex datasets.
Balancing qualitative and quantitative inputs in decision-making.
Workshop: Building a data-driven decision model.
Day 4:
Collaborative and Adaptive Approaches
Strategies for fostering collaboration in team decision-making.
Negotiation and consensus-building techniques.
Managing uncertainty and adapting to changing circumstances.
Simulation exercise: Crisis management under pressure.
Day 5:
Application and Continuous Improvement
Personalizing decision-making frameworks for individual use.
Developing action plans for ongoing skill development.
Ethical considerations in decision-making.
Final assessment and feedback session.
