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DECISION INTELLIGENCE: Navigating Complexity with Clarity and Agility

Overview

This interactive training program equips participants with the essential skills, tools, and frameworks to enhance their problem-solving and decision-making abilities. Through a mix of self-assessment, self-discovery, critique, group exploration, facilitator-led discussions, game-based learning, and practical exercises, participants will develop a structured approach to tackling challenges, making sound decisions, and fostering innovative thinking. The Decision Intelligence program blends human problem-solving with AI-assisted decision-making frameworks, equipping participants with the critical thinking, creativity, and digital fluency needed to navigate complex, high-pressure environments. The program combines best-practice theories with real-world applications, ensuring participants leave with actionable strategies they can implement in their roles immediately.

Price: $4,500.00

5-Day Training Program (4 Hours per Day)

Delivery Methods

✔ Self-Assessments – Identify strengths and areas for improvement in problem-solving and decision-making styles.
✔ Self-Discovery & Critique – Personal reflection and structured critique for deeper learning.
✔ Group Exploration – Collaborative discussions, case studies, and simulations to enhance learning.
✔ Facilitator-Led Discussions – Insightful breakdowns of theories, concepts, and applications.
✔ Game-Based Learning – Engaging activities that reinforce key concepts through real-world scenarios.
✔ Practical Exercises – Hands-on activities that ensure participants can apply concepts immediately.
✔ Best-Practice Theory Exploration – Evidence-based frameworks, models, and tools for problem-solving and decision-making.

Objectives:

By the end of the program, participants will:

  1. Develop a structured approach to problem-solving using analytical and creative thinking techniques.
  2. Improve decision-making skills by applying rational and intuitive methods.
  3. Master AI-enhanced decision-making tools – Learn how AI-powered analytics help identify patterns, reduce biases, and support complex decisions.
  4. Enhance critical thinking to assess problems objectively and make well-informed decisions.
  5. Use AI for predictive problem-solving – Explore how AI and data models help anticipate challenges before they arise
  6. Learn practical tools and frameworks for identifying, analysing, and solving problems effectively.
  7. Strengthen emotional intelligence and cognitive flexibility to manage uncertainty and complexity.
  8. Foster collaboration and group problem-solving through effective teamwork strategies.
  9. Understand biases and psychological factors that impact decision-making and learn how to mitigate them.
  10. Master communication techniques for influencing and justifying decisions.
  11. Practice real-world application of skills through case studies, simulations, and interactive exercises.

Programme Outline

Day 1: Foundations of Problem Solving & Decision Making

Key Focus: Understanding the Process and Your Style

  • Icebreaker & Warm-up Activity: “The Marshmallow Challenge” (team-based creative problem-solving)
  • Self-Assessment: Personal Problem-Solving & Decision-Making Style (analytical, intuitive, collaborative)
  • Facilitator-Led Discussion: The Science of Problem-Solving – Stages & Approaches (Structured vs. Unstructured)
  • AI in Problem-Solving: How AI-powered diagnostics and machine learning algorithms help identify patterns and predict issues before they escalate.
  • Human-AI Collaboration in Decision Intelligence: Understanding when to trust AI recommendations vs. applying human judgment.
  • Practical Exercise: “Spot the Problem” – Identifying and Defining Problems Clearly
  • Best-Practice Theory Exploration: Root Cause Analysis (5 Whys, Fishbone Diagram)
  • Game-Based Learning: “Decision-Making Scenarios” – Choosing the best approach for different problems
  • Self-Discovery & Reflection: What influences my approach to solving problems?

 

Day 2: Critical Thinking and Analytical Problem-Solving

Key Focus: Enhancing Logical Reasoning & Data-Driven Decisions

  • Group Exploration Activity: “Thinking Traps” – Recognizing and Overcoming Cognitive Biases
  • Facilitator-Led Discussion: Critical Thinking – What It Is & How to Strengthen It
  • Best-Practice Theory Exploration: Decision Trees, SWOT Analysis, Pareto Principle (80/20 rule)
  • Practical Exercise: “Case Study Challenge” – Applying Analytical Models to Real-World Problems
  • AI & Data-Driven Decision-Making: How AI-driven analytics help filter relevant data, identify key insights, and eliminate noise from decision-making processes.
  • Self-Discovery & Critique: Understanding Personal Biases & Emotional Influences
  • Game-Based Learning: AI vs. Human Analysis Simulation – Participants compare AI-generated problem analysis with human-led data interpretation.
  • Reflection & Action Plan: How can I develop better analytical skills?

Day 3: Creative Problem-Solving and Innovation

Key Focus: Thinking Outside the Box & Overcoming Mental Blocks

  • Icebreaker Activity: “The Alternative Uses Challenge” – Expanding Creative Thinking
  • Facilitator-Led Discussion: Divergent vs. Convergent Thinking – When to Use Each
  • Best-Practice Theory Exploration: Design Thinking, SCAMPER Technique, Brainstorming & Mind Mapping
  • Group Exercise: “Reverse Brainstorming” – Finding Solutions by Exploring Opposites
  • AI for Creative Thinking & Innovation: How AI-driven brainstorming tools like GPT-powered ideation, AI-assisted design thinking, and generative models enhance problem-solving creativity.
  • Blending Human Creativity with AI Efficiency: Understanding when AI speeds up innovation and when human intuition is essential.
  • Practical Application: “Innovation Challenge” – Generating Creative Solutions for Real Work Problems.
  • Self-Discovery & Critique: What limits my creativity? (Mindset Shift Exercises)
  • Game-Based Learning: “Escape Room Challenge” – Solving Puzzles through Collaboration and Creativity
  • Reflection & Action Plan: Building a Culture of Creativity in Decision-Making

Day 4: Decision-Making Under Pressure & Managing Risks

Key Focus: Making Sound Decisions in Uncertain & High-Stress Situations

  • Self-Assessment: “How Do You Make Decisions Under Pressure?”
  • Facilitator-Led Discussion: Decision-Making Models – Rational vs. Intuitive Decision-Making
  • Best-Practice Theory Exploration: Risk Assessment Frameworks (Probability vs. Impact Matrix)
  • Practical Exercise: “Crisis Simulation” – Making Real-Time Decisions in a Stressful Scenario
  • AI & Real-Time Risk Assessment: How AI-driven models evaluate risks, probabilities, and impacts to support high-stakes decisions.
  • AI vs. Intuition in Crisis Management: When to trust AI-driven risk predictions vs. human experience and gut instinct.
  • Activity: AI-Driven Crisis Simulation – Participants use an AI-powered risk assessment tool to navigate a high-pressure decision scenario.
  • Group Exploration: Ethical Decision-Making & The Role of Integrity in Leadership
  • Game-Based Learning: “The Moral Dilemma Challenge” – Navigating Tough Choices
  • Self-Discovery & Critique: Emotional Reactions to Stress – How They Impact Decision Quality
  • Reflection & Action Plan: Strategies to Stay Calm and Make Rational Decisions Under Pressure

Day 5: Implementing Solutions & Driving Results

Key Focus: Moving from Decision to Action & Ensuring Execution

  • Facilitator-Led Discussion: “Bridging the Gap: From Decision to Execution”
  • The Future of AI & Human Decision-Making: How leaders must adapt to AI-driven workplaces while maintaining ethical leadership and critical thinking.
  • Best-Practice Theory Exploration: Change Management Strategies for Implementation
  • Practical Exercise: “Stakeholder Mapping” – Influencing Others to Support Your Decision
  • Group Exploration: Overcoming Resistance & Managing Conflicts in Problem-Solving
  • Game-Based Learning: “The Decision-Making Negotiation Game” – Defending & Justifying Choices
  • Self-Discovery & Critique: Assessing Personal Growth Throughout the Program
  • Final Reflection & Action Planning: Creating a Personalized Problem-Solving & Decision-Making Toolkit
  • Closing Activity: “Commitment to Change” – Participants Share Their Key Takeaways & Next Steps

Expected Outcomes

By integrating AI-driven insights, strategic adaptability, and cognitive agility, this program ensures participants can:

✔ Be more confident in their problem-solving and decision-making capabilities.
✔ Apply structured problem-solving models and critical thinking techniques effectively.
✔ Utilize creativity and innovation to generate better solutions.
✔ Make better decisions under pressure while managing risks.
✔ Communicate and influence stakeholders to implement solutions successfully.
✔ Navigate complex and ethical decisions with clarity and confidence.
✔ Have a personalized toolkit of strategies for continuous improvement.