By the end of this course, participants will be able to:
• Understand the principles of risk-based decision making • Differentiate between uncertainty, risk, and opportunity • Identify and assess risks affecting decisions and outcomes • Apply qualitative and quantitative risk analysis techniques • Integrate risk information into decision-making processes • Use structured decision tools (risk matrices, decision trees, scenarios) • Improve the quality, transparency, and defensibility of decisions • Support strategic, project, and operational decisions using risk-based logic 

This course is suitable for professionals involved in decision-making, planning, and risk management, including:
• Senior and Middle Managers • Project, Program, and Portfolio Managers • Risk Management and Governance Professionals • Strategic Planning and Performance Managers • Engineers and Technical Decision Makers • Investment, Finance, and Procurement Professionals • Public Sector and Regulatory Officials • Operations, Maintenance, and Asset Managers 

The course is delivered using a highly interactive and practical approach, including:
• Instructor-led presentations • Group discussions and facilitated workshops • Real-life case studies and decision scenarios • Hands-on exercises and simulations • Decision-making tools and templates • Knowledge checks and lessons-learned reviews Participants apply concepts progressively through structured exercises and group work.

5-Day Detailed Training Agenda
Day 1: Fundamentals of Risk & Decision Making • Decision-making challenges in uncertain environments • Definitions: risk, uncertainty, opportunity, and impact • Risk-based vs. intuition-based decisions • Types of decisions: strategic, tactical, and operational • Risk attitudes and decision biases • Introduction to risk-based decision frameworks Exercise: Identifying risks influencing key decisions
Day 2: Risk Identification & Analysis
• Risk identification techniques and tools • Internal vs. external risks • Cause-event-impact relationships • Qualitative risk analysis methods • Risk matrices and prioritization techniques • Understanding likelihood, consequence, and exposure Workshop: Risk identification and qualitative assessment
Day 3: Quantitative Risk & Decision Tools • Overview of quantitative risk analysis concepts • Decision trees and expected value analysis • Sensitivity analysis and scenario planning • Balancing risk, cost, and performance • Data quality and uncertainty considerations Exercise: Decision tree analysis for complex decisions
Day 4: Risk Evaluation & Risk-Informed Choices
• Risk tolerance and risk appetite • Evaluating options under uncertainty • Trade-off analysis between alternatives • Risk responses: avoid, reduce, transfer, accept • Risk-based prioritization and optimization Case Study: Choosing optimal options using risk-based evaluation
Day 5: Integrating Risk into Organizational Decisions
• Embedding risk-based decision making into processes • Governance, accountability, and decision documentation • Communicating risk to stakeholders and management • Ethical considerations and transparency • Lessons learned and continuous improvement • Course review and key takeaways 

BTS attendance certificate will be issued to all attendees completing minimum of 75% of the total course duration.

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