PROGRAM OBJECTIVE

By the end of this program, participants will:

• Understand the characteristics and dynamics of complex problems.
• Learn analytical frameworks and tools to approach challenges systematically.
• Enhance their ability to make data-driven decisions.
• Build confidence in tackling ambiguity and risk in problem-solving.
• Develop collaborative strategies to align teams toward effective solutions.

PROGRAM OUTLINE

MODULE 1:

UNDERSTANDING

• Characteristics of complexity in problems and challenges.
• Differentiating between simple, complicated, and complex problems.
• Systems thinking: Identifying interdependencies and unseen impacts.

MODULE 2:

ANALYTICAL THINKING FUNDAMENTALS

• Foundations of logical reasoning and critical thinking.
• Deconstructing problems into manageable components.
• Identifying assumptions and testing their validity.

MODULE 3:

STRUCTURED PROBLEM-SOLVING FRAMEWORKS

• Tools like Root Cause Analysis, Fishbone Diagrams, and the 5 Whys.
• Applying frameworks like SWOT analysis and the PDCA cycle.
• Integrating design thinking for innovative solutions.

MODULE 4:

DECISION-MAKING IN AMBIGUITY

• Strategies for making decisions with incomplete information.
• Balancing short-term actions with long-term implications.
• Risk analysis: Assessing trade-offs and prioritizing solutions.

MODULE 5:

DATA-DRIVEN PROBLEM SOLVING

• Interpreting and visualizing data for insights.
• Tools for prioritizing actions, such as Pareto
• Analysis and Decision Matrices.
• Translating data insights into actionable plans.