Library: Problem Solving
Frameworks and techniques for breaking down problems and arriving at solutions. Backed by NotebookLM notebook
df07efd4-239d-44d8-bd17-29af9e821139(created 2026-04-20).
Subject
General-purpose problem-solving frameworks: decomposition, first-principles thinking, decision-tree analysis, root-cause patterns.
Curation criteria
- In: Cross-domain frameworks (Polya, Bayesian, Cynefin, OODA, etc.), case studies of decomposition.
- Out: Domain-specific tactics (those belong in their domain library).
Sources
| Title | Type | Date added |
|---|---|---|
| 5 Step Formula to Solve Any Problem — Brian Tracy | YouTube | 2026-04-20 |
| How to Become a Problem Solver — Brian Tracy | YouTube | 2026-04-20 |
| McKinsey's Problem-Solving Framework Explained | YouTube | 2026-04-20 |
| Problem Solving 101 by Ken Watanabe — Free Summary Audiobook | YouTube | 2026-04-20 |
Reconciled from NotebookLM via
notebooklm source list2026-04-29. Re-run/library syncto refresh.
Cached summary
These sources outline structured frameworks for mastering problem-solving in both personal and professional contexts. Brian Tracy emphasizes the importance of a positive attitude and a solution-oriented mindset, encouraging individuals to view obstacles as opportunities for growth and promotion. The McKinsey framework provides a systematic, six-step professional approach that focuses on defining the core issue, prioritizing high-impact variables, and creating data-driven action plans. Additionally, the summary of Ken Watanabe's work suggests breaking large, intimidating goals into smaller, manageable tasks through tools like logic trees. Collectively, these materials teach that identifying the root cause of a challenge is essential to implementing an effective and persistent strategy. By combining accountability with consistent execution, anyone can transform significant setbacks into stepping stones for long-term success.
Last summarized: 2026-04-29 (NotebookLM AI summary)
Top-of-mind questions
- "How to decompose this problem into solvable subproblems?"
- "What's the right framework for a decision under uncertainty?"
- "When to use first-principles vs. analogy?"