In a recent LinkedIn post, Andrew Bolis discusses innovative strategies for significantly reducing the time spent on problem-solving by integrating proven analytical frameworks with the capabilities of ChatGPT. Bolis frames his approach as a method to overcome the often time-consuming nature of tackling complex issues, suggesting a powerful synergy between established business methodologies and artificial intelligence.
Leveraging AI for Efficiency
Andrew Bolis highlights the potential for AI, specifically ChatGPT, to act as a powerful co-pilot in the problem-solving process. He suggests that by providing structured context to the AI, users can accelerate their analysis and decision-making. Bolis emphasizes the importance of a clear prompt to guide the AI effectively.
“Use proven frameworks + ChatGPT instead.”
According to Andrew Bolis, the key lies in combining established problem-solving techniques with AI’s processing power. He outlines a simple yet effective method:
- Select a proven framework.
- Input detailed context into a ChatGPT prompt.
- Iteratively refine the AI’s response until it meets the user’s needs.
Key Frameworks for AI Integration
Bolis identifies five specific problem-solving frameworks that he believes work particularly well when paired with ChatGPT. These frameworks offer structured ways to analyze situations, and Bolis suggests that AI can enhance their application by quickly processing information and generating insights.
SWOT Analysis
Andrew Bolis points out that a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis can be significantly augmented by ChatGPT. The AI can help brainstorm potential strengths and weaknesses, identify external opportunities and threats, and even suggest strategic responses based on the analysis.
Decision Matrix
For complex decisions, Bolis suggests the Decision Matrix framework. He notes that this method is ideal for comparing multiple options against weighted criteria. ChatGPT can assist in generating criteria, assigning weights, and even calculating scores, thereby streamlining the evaluation process.
“Compare choices across weighted criteria”
First Principles Thinking
Andrew Bolis also champions First Principles Thinking, a method of deconstructing problems into their most fundamental elements. He argues that ChatGPT can be an invaluable tool in this process, helping users to identify and articulate these core components more efficiently.
Force Field Analysis
The concept of Force Field Analysis, which involves identifying forces that support or resist change, is another framework Bolis recommends. As Andrew Bolis implies, AI can help in brainstorming these driving and restraining forces and assessing their potential impact.
MECE Principle
Finally, Andrew Bolis includes the MECE (Mutually Exclusive, Collectively Exhaustive) Principle, crucial for organizing information without redundancy or omission. He suggests that ChatGPT can aid in structuring thoughts and ensuring that all relevant aspects of a problem are covered comprehensively and distinctly.
“Organize ideas without overlap or gaps”
Bolis encourages his audience to experiment with these frameworks and share their own preferred methods. He also provides a link to a free advanced ChatGPT guide, further extending his offer of valuable resources to his network.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on November 18, 2025 | View original post on LinkedIn →