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Decision Making: Art and Science Course
More than 2 million students worldwide

Decision Making: Art and Science Course

Great decisions don't happen by accident — they're built on rigorous thinking, sharp self-awareness, and proven frameworks. This course equips professionals with the analytical tools and behavioural insights needed to make smarter choices under pressure, complexity, and uncertainty. From cognitive bias to strategic risk, every module sharpens the judgment that drives real results.

Dedika for businesses

What you will learn:

  • Apply structured decision-making frameworks to complex, high-stakes professional scenarios.

  • Recognise and counteract cognitive biases that silently corrupt judgment and analysis.

  • Use probability thinking and decision trees to evaluate risk with greater precision.

  • Frame problems correctly to ensure solutions target root causes, not surface symptoms.

  • Facilitate group decision processes that harness collective intelligence while preventing groupthink.

  • Connect analytical rigor to strategic execution for decisions that deliver lasting organisational impact.

How you study in practice Decision Making: Art and Science Course

How you practise Decision Making: Art and Science Course

For companies looking to train their teams

With Dedika for businesses, the course includes exercises and examples tailored to your company and its specific needs.

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Decision Making

  • Lesson 1 • What Decision Making Really Is

    Defines decision making as a process of selecting among alternatives under uncertainty. Anchors all subsequent models in this foundational definition.

  • Lesson 2 • Intuition vs. Analysis in Decisions

    Introduces dual-process theory and when each mode is appropriate. Sets the stage for integrating both approaches in later chapters.

  • Lesson 3 • Rational and Bounded Rationality Models

    Contrasts fully rational models with Simon's bounded rationality. Explains why perfect optimisation is rarely achievable in practice.

  • Lesson 4 • Types and Taxonomy of Decisions

    Classifies decisions by complexity, reversibility, and stakes. Provides a shared vocabulary used throughout the course.

  • Lesson 5 • The Decision Making Process

    Maps the classic stages from problem recognition to implementation. Students apply the management framework to real workplace scenarios.

Chapter 2See details

Cognitive Biases and Mental Traps

  • Lesson 1 • Judgment Biases in Information Processing

    Covers anchoring, availability, and representativeness heuristics. Shows how each distorts probability estimates and risk perception.

  • Lesson 2 • Overconfidence and Escalation Traps

    Addresses overconfidence, sunk-cost fallacy, and commitment escalation. These biases cause costly persistence in failing courses of action.

  • Lesson 3 • How Biases Form and Persist

    Explains the psychological origins of cognitive bias and why they resist correction. Grounds bias awareness in neuroscience and behavioural research.

  • Lesson 4 • Confirmation and Framing Effects

    Examines how people seek confirming evidence and how problem framing shifts choices. Directly relevant to strategic and analytical decisions.

  • Lesson 5 • Debiasing Strategies and Techniques

    Provides evidence-based methods to reduce bias impact in real decisions. Connects directly to structured decision tools introduced in later chapters.

Chapter 3See details

Problem Framing and Problem Structuring

  • Lesson 1 • Why Framing Determines Outcomes

    Demonstrates how problem definition shapes the solution space. Uses case examples where reframing reversed a failing decision trajectory.

  • Lesson 2 • Problem Decomposition Techniques

    Breaks complex problems into manageable components using structured tools. Prepares students for quantitative modelling in later chapters.

  • Lesson 3 • Reframing Stuck Problems

    Applies lateral thinking and perspective-shifting to problems that resist standard analysis. Builds creative problem-structuring fluency.

  • Lesson 4 • Root Cause Analysis Methods

    Teaches systematic techniques to distinguish symptoms from causes. Ensures decisions target the actual source of a problem.

  • Lesson 5 • Defining Decision Criteria and Objectives

    Establishes how to articulate what a good decision must achieve before evaluating options. Criteria definition is the bridge between framing and analysis.

Chapter 4See details

Data, Evidence, and Analytical Reasoning

  • Lesson 1 • Decision Matrices and Scoring Models

    Introduces weighted scoring matrices to compare alternatives against defined criteria. Directly applies the criteria-setting skills from Chapter 3.

  • Lesson 2 • Quantitative Reasoning for Decision Makers

    Covers essential numeracy skills: ratios, percentages, rates, and basic statistics. Equips non-specialists to interpret quantitative evidence confidently.

  • Lesson 3 • Logical Fallacies in Arguments

    Identifies common reasoning errors that corrupt analytical conclusions. Strengthens critical evaluation of proposals and recommendations.

  • Lesson 4 • Cost-Benefit and Trade-off Analysis

    Applies structured comparison of costs and benefits across decision options. Teaches trade-off reasoning when no option dominates on all criteria.

  • Lesson 5 • Evidence Quality and Source Evaluation

    Teaches criteria for assessing reliability, validity, and relevance of information. Prevents decisions built on weak or misleading data.

Chapter 5See details

Risk, Uncertainty, and Probability Thinking

  • Lesson 1 • Risk vs. Uncertainty Distinction

    Clarifies the difference between quantifiable risk and true uncertainty. Establishes the conceptual basis for all risk-management tools in this chapter.

  • Lesson 2 • Risk Appetite and Risk Tolerance

    Defines organisational and personal risk appetite and how it shapes acceptable decisions. Connects individual risk attitudes to strategic decision boundaries.

  • Lesson 3 • Scenario Planning and Stress Testing

    Applies scenario analysis to stress-test decisions against multiple future possibilities. Builds organisational resilience into plans before committing to them.

  • Lesson 4 • Expected Value and Decision Trees

    Teaches expected value calculation and decision tree construction for sequential choices. Integrates probability skills with structured option comparison.

  • Lesson 5 • Probability Fundamentals for Decisions

    Builds intuitive and formal probability reasoning without requiring advanced maths. Enables accurate likelihood estimation in professional contexts.

Chapter 6See details

Group Decision Making and Collaboration

  • Lesson 1 • Conflict and Disagreement as Decision Assets

    Reframes productive conflict as a quality-improvement mechanism in group decisions. Teaches structured debate and dialectical inquiry methods.

  • Lesson 2 • Advantages and Pitfalls of Group Decisions

    Compares individual and group decision quality across different problem types. Sets realistic expectations for when groups outperform individuals.

  • Lesson 3 • Groupthink and Social Pressure

    Identifies the symptoms and causes of groupthink and conformity pressure. Provides structural countermeasures to protect decision quality.

  • Lesson 4 • Consensus, Voting, and Authority Models

    Compares decision authority models from consensus to autocratic and their trade-offs. Helps leaders choose the right model for each decision context.

  • Lesson 5 • Structured Group Decision Techniques

    Introduces Delphi method, nominal group technique, and brainwriting. Gives facilitators concrete tools to elicit independent, high-quality input.

Chapter 7See details

Decision Making Under Pressure and Complexity

  • Lesson 1 • Time Pressure and Decision Quality

    Examines how time constraints affect decision processes and outcomes. Provides strategies to maintain quality when speed is non-negotiable.

  • Lesson 2 • Complex Adaptive Systems Thinking

    Applies systems thinking to decisions in environments with feedback loops and emergent behaviour. Prevents linear thinking errors in complex contexts.

  • Lesson 3 • Crisis Decision Making Protocols

    Provides structured protocols for decisions during crises when information is incomplete and stakes are extreme. Integrates all prior chapter skills.

  • Lesson 4 • Naturalistic Decision Making

    Introduces Klein's recognition-primed decision model used by experts under pressure. Explains how experienced professionals make fast, accurate decisions.

  • Lesson 5 • The Cynefin Framework in Practice

    Uses the Cynefin management framework to match decision-making approaches to the complexity domains of problems. This prevents the application of tools designed for complicated domains to chaotic situations.

Chapter 8See details

Strategic Decision Making and Execution

  • Lesson 1 • Decision Quality and Corporate Governance

    Introduces decision quality management frameworks and governance structures that institutionalise good decisions. Moves beyond individual skill to organisational capability.

  • Lesson 2 • Portfolio Decisions and Resource Allocation

    Covers prioritisation frameworks for allocating limited resources across competing initiatives. Directly applicable to budget, project, and workforce capability and talent management decisions.

  • Lesson 3 • From Decision to Execution

    Bridges the gap between a chosen option and successful implementation. Addresses the execution failures that undermine even well-made decisions.

  • Lesson 4 • Strategic Decisions vs. Operational Decisions

    Distinguishes strategic choices by their irreversibility, scope, and resource commitment. Establishes the unique demands of strategic decision making.

  • Lesson 5 • Strategic Options and Real Options Thinking

    Applies real options logic to preserve flexibility in strategic commitments. Teaches staged investment and option-preserving decision design.

Certification

Your valid completion certificate

This course is for you:

  • Mid-level managers: responsible for team decisions but lacking formal decision training.

  • Entrepreneurs: making high-stakes calls daily with limited information or support.

  • Analysts: wanting to strengthen the reasoning behind their recommendations.

  • Project managers: coordinating group decisions across competing stakeholder priorities.

  • Career changers: building credibility in new roles through sharper professional judgment.

  • Consultants: needing structured methods to guide clients through complex choices.

What our students say

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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
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