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Use when comparing very differently-titled roles for compensation banding, leveling, or organizational design — score each role's inherent Know-How (knowledge, skills, experience required), Problem Solving (complexity and freedom of thinking, scored as a percentage of Know-How), and Accountability (freedom to act and magnitude of impact), because job titles and informal seniority perceptions vary inconsistently across departments and don't provide a comparable basis on their own.
Use when many people request your scarce time, mentorship, or expertise and you cannot evaluate their genuine commitment level from a conversation alone — require a specific, costly, objectively verifiable unit of self-directed output (a set number of completed attempts) before engaging, because genuine commitment is what a conversation cannot reliably reveal but a completed, verifiable body of work can.
Use when deciding how to allocate a manager's or leader's limited time across competing activities — before defaulting to whatever is most urgent, estimate each candidate activity's leverage (how many people's output it affects, for how long, and whether it requires your specific position), because a manager's actual output is the output of the organization under their influence, not their own individual task completion.
基于 SOC 职业分类
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| name | audit-investment-thesis |
| description | Use when evaluating the strength and validity of an investment thesis before committing capital |
| source | Charlie Munger's "Poor Charlie's Almanack"; Howard Marks memos (Oaktree Capital); Seth Klarman "Margin of Safety" |
| tags | ["finance","investing","thesis","due-diligence","mental-models","margin-of-safety"] |
| verified | true |
Stress-test an investment thesis using systematic mental models and adversarial questioning.
Adopted by: Berkshire Hathaway, Oaktree Capital, top-tier value investors; taught at Columbia Business School Value Investing Program Impact: Howard Marks' memos document that second-level thinking and explicit thesis auditing reduce permanent capital loss; Munger's "checklist" method is credited with Berkshire's long-run outperformance.
Why best: A thesis audit forces inversion — asking "how could this be wrong?" before "why will this work?" Explicit pre-mortems catch errors of omission (what you didn't consider) that optimistic analysis routinely misses. Requiring a margin of safety quantifies the price of being wrong.
Thesis under audit: "Company X will triple revenue in 3 years via AI-driven upsell." Key assumptions: (1) AI product achieves 40% attach rate, (2) net revenue retention stays >120%, (3) competitive moat holds. Inversion: attach rate stalls at 15% due to integration friction → revenue grows 60% not 3×. Margin of safety: intrinsic value $80/share → entry only below $56. Falsifying event: two consecutive quarters of NRR below 110%.
Finance disclaimer: This skill encodes professional best practices for educational purposes. It is not financial advice. Consult a licensed financial advisor before making investment decisions.