Core Principles

• Break down complex problems into smaller, manageable pieces
• Identify root causes rather than symptoms
• Consider multiple perspectives and approaches
• Test assumptions and validate solutions
• Learn from failures and iterate on solutions

Problem-Solving Steps

1. Define the Problem

   Clearly articulate what the problem is, its impact, and desired outcome.

2. Gather Information

   Collect relevant data, understand context, and identify stakeholders.

3. Generate Solutions

   Brainstorm multiple potential solutions without judgment.

4. Evaluate Options

   Analyze pros and cons of each solution, considering feasibility and impact.

5. Implement Solution

   Execute the chosen solution with a clear plan and metrics.

6. Review and Adjust

   Monitor results, gather feedback, and make necessary adjustments.

Common Tools and Techniques

• 5 Whys Analysis
• Fishbone (Ishikawa) Diagram
• SWOT Analysis
• Decision Matrix
• Mind Mapping
• Pareto Analysis
• Problem Tree Analysis:
  • Start with vague problem statement
  • Apply 5 Whys to reach root cause
  • Identify core problem statement
  • Recursively break down the problem into smaller, more manageable parts
  • Take manageable part and determine action to take
  • Repeat for each part
  • Identify dependencies between parts
  • Delete parts that are not relevant to the overarching problem
  • Trial and error on implementation of actions
  • Repeat process until problem is solved
• Dependency Mapping
• Elon's 5 Steps:
  • Make requirements less dumb
  • Delete parts/processes
  • Simplify/optimize
  • Accelerate cycle time
  • Automate
• Theory of Constraints:
  • Identify the constraint
  • Exploit the constraint
  • Subordinate everything else
  • Elevate the constraint
  • Return to step 1
• Donella's 12 Leverage Points:
  • Transcending paradigms
  • Mindset/paradigm
  • Goals of the system
  • Self-organization
  • Rules of the system
  • Information flows
  • Reinforcing feedback loops
  • Balancing feedback loops
  • Delays in the system
  • Stock-and-flow structures
  • Buffer sizes
  • Physical system parameters
• System Mapping:
  • Identify boundaries
  • Identify sub-systems and components
  • Map relationships and interfaces
  • Find feedback loops and cause-effect relationships
  • Identify stocks and flows
  • Note delays and buffers
• Context Analysis:
  • Trade-offs evaluation
  • Core axioms identification
  • Key assumptions testing
  • Boundary conditions
  • Environmental factors