Critical Thinking and Decision Making for Policy and Solution Development

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Duration: 3 days – 21 hrs

 

Overview

This course is designed to enhance the critical thinking and decision-making skills of senior business process managers and solution process owners. It focuses on structured approaches to analyzing complex business challenges, evaluating risks, and making data-driven decisions that align with organizational policies. Participants will learn to develop effective policies, problem-solving frameworks, and strategic solutions to enhance business efficiency and governance.

 

Objectives

  • Apply critical thinking frameworks to assess and resolve business challenges effectively.
  • Develop structured decision-making models that align with corporate policies and business objectives.
  • Analyze and evaluate data to make informed decisions and mitigate risks.
  • Formulate and implement policies that support operational efficiency and compliance.
  • Improve problem-solving skills by using logical reasoning, root cause analysis, and creative thinking techniques.
  • Enhance stakeholder engagement by making well-supported, transparent, and ethical decisions.
  • Use AI-assisted tools to streamline decision-making and enhance policy development.

 

Audience

  • Senior Business Process Managers
  • Solution Process Owners
  • Operations and Strategy Leaders
  • Policy and Governance Executives
  • Risk and Compliance Officers
  • Project and Program Managers
  • Decision-Makers in Business Process Improvement

Pre- requisites 

  • Basic understanding of corporate policies and decision-making processes
  • Experience in managing or overseeing business operations
  • Familiarity with risk assessment and problem-solving in business environments

 

Course Content

 

Day 1: Foundations of Critical Thinking and Decision-Making

Interactive Diagnostic Exercise (Pre-Course Assessment) 

Module 1: Understanding Critical Thinking for Policy Development 

  • Why critical thinking is vital in policy and solution development
  • Recognizing and overcoming cognitive biases
  • Logical reasoning and argumentation

 

Module 2: Advanced Problem-Solving Approaches 

  • The 5 Whys, Fishbone Diagram, and SCAMPER method for root cause analysis
  • SWOT & PESTLE analysis for policy planning
  • Applying the OODA Loop in high-stakes decisions

 

Module 3: Decision-Making Frameworks 

  • Rational vs. intuitive decision-making
  • The Kepner-Tregoe Method for structured decision-making
  • Decision trees and scenario planning

Hands-on Case Study Exercises 

  • Small group problem-solving activities
  • Role-playing business challenges
  • AI-assisted decision-making tools (practical usage)

 

Day 2: Policy Development and Risk Mitigation

Module 4: Developing Effective Policies 

  • Key principles in policy creation
  • Aligning policies with compliance and business goals
  • Best practices for policy documentation

 

Module 5: Risk Assessment and Mitigation Strategies 

  • Risk identification in decision-making
  • Cost-benefit analysis and risk-reward balance
  • Ethical considerations and corporate responsibility

 

Module 6: Stakeholder Engagement & Persuasive Communication 

  • How to build consensus in decision-making
  • Influence tactics for policy acceptance
  • Managing resistance to change

 

Industry-Specific Case Studies & Ethical Dilemmas 

  • Real-world examples from governance, finance, and business strategy
  • Lessons learned from policy failures and successes

 

Day 3: Strategic Decision-Making and AI Integration

Module 7: Crisis and High-Stakes Decision-Making 

  • Decision-making in uncertain and crisis situations
  • Red Teaming & pre-mortem analysis
  • Vroom-Yetton model for leadership-driven decisions

 

Module 8: AI and Technology in Decision-Making 

  • How AI is reshaping business policies and governance
  • Risks and limitations of AI-based decision models
  • AI ethics and bias mitigation

 

Final Group Project – Policy and Solution Simulation 

  • Develop a policy framework for a complex business problem
  • AI-assisted decision support simulation
  • Stakeholder presentation and critique session

 

Closing Panel Discussion & Q&A 

  • Expert insights on critical thinking and policy development
  • Participant reflections and key takeaways
  • Certification and next steps for continued skill development

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