Core Insights - The article discusses the transformative impact of AI, particularly ChatGPT, on business and entrepreneurship, highlighting the importance of strategic thinking and problem-solving models in leveraging AI for growth [2][4][70]. Group 1: Discovering Problems - Many AI experiments fail not due to technical limitations but because of incorrect problem identification [8]. - The Johari Window model helps in understanding boundaries and expectations, revealing opportunities in the "AI doesn't know" quadrant [9][10]. - Emphasizing the need to respect the "I don't know" quadrant to avoid repeated investments based on false assumptions [12]. Group 2: Problem Decomposition - The Pyramid Principle and MECE framework are essential for structured problem decomposition, ensuring clarity and comprehensive coverage [28][30]. - The principle of Occam's Razor suggests prioritizing the simplest solution to avoid over-engineering [34][36]. - First Principles thinking encourages breaking down problems to their core elements for innovative solutions [39][41]. Group 3: Validation and Iteration - The MVP (Minimum Viable Product) approach advocates for quickly launching prototypes to gather user feedback and iterate based on data [49][51]. - Iterative thinking involves a cycle of prompt, output, review, and refinement to achieve optimal results [54][56]. - ROI (Return on Investment) awareness is crucial for understanding costs and benefits, emphasizing the importance of time and opportunity costs in decision-making [64][66].