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Decision-making

Separating a good decision from a good outcome, and the structures that help under pressure.

  • Post-mortemFounders and companiesDocumentary

    A board that accepts a narrative has stopped doing diligence

    A compelling story is a claim to test, and the test for a technology is watching it work.

    Venture and growth diligence, and any investment where the case rests on a founder's account of something that cannot yet be seen.

    From The Inventor: Out for Blood in Silicon Valley · 2019

  • FrameworkInvestingFilm

    A cheap measurable signal beats an expensive intuitive one at scale

    The market misprices what is hard to measure, so a consistent cheap signal can beat an expensive expert.

    Quant interviews, any debate about discretionary against systematic investing, and understanding how you yourself are being assessed in recruiting.

    From Moneyball · 2011

  • Decision principleDecision-makingBook

    A good decision and a good outcome are separate things

    Judge a decision by what was knowable when it was made, and keep the outcome in a separate column.

    Reviewing a trade or a deal that went wrong, answering a question about a failure, and any post-mortem.

    From Thinking in Bets · Annie Duke

  • TechniqueProductVideo located

    A metrics question is a structured hunt: north star, guardrails, then the segment

    Clarify the metric, protect the guardrails, then decompose the drop by segment until it is isolated; show the process, not a guess.

    Product management interviews, any analytics role, and any desk conversation that starts with a number going the wrong way.

    From Google Product Manager Metrics Interview: A Worked Mock · Aakash Gupta

  • Post-mortemInvestingLetter located

    A bad year separated into its causes: which mistakes were mine and which were the market

    Separate a bad year into your errors and the market's mood, name the errors specifically, and say whether the method changes.

    Reviewing your own record, reading any manager's bad year, and the interview question about a mistake.

    From Giverny Capital's 2025 annual letter, on a year of underperformance · François Rochon

  • FrameworkPsychology and behaviourBook

    Anchoring and base rate neglect are the two biases that cost money

    Before estimating, ask what number is anchoring you and what the base rate is for cases like this.

    Valuation, deal pricing, forecasting, and the behavioural finance questions in hedge fund and asset management interviews.

    From Thinking, Fast and Slow · Daniel Kahneman

  • TechniqueProductBook

    Ask about what people already did, never about what they would do

    Evidence about demand comes from what people have already done and paid for, not from what they say they would do.

    Customer discovery, commercial due diligence, and any interview that asks how you would validate a product idea.

    From The Mom Test · Rob Fitzpatrick

  • FrameworkLeadershipLetter

    Day 2 begins when a company manages to proxies and treats decisions as one-way doors

    Check whether the metric is still the goal or has become the goal, and reserve the heavy process for decisions that cannot be undone.

    Product and leadership questions, assessing a large company's culture, and deciding how much process a decision deserves.

    From Amazon's 2016 letter to shareholders (Day 1) · Jeff Bezos

  • Career lessonCareersBook

    Breadth beats early specialisation in unpredictable fields

    In a field where the rules keep changing, a late specialist with range usually outlasts an early one without it.

    Explaining a non-standard background, choosing between a narrow and a broad early role, or answering why you changed direction.

    From Range · David Epstein

  • FrameworkDecision-makingBook

    Invert the question, and look at the incentives first

    Ask what would make this fail and who is paid for what before asking anything else.

    Diligence, deal structuring, reading any management proposal, and preparing for any decision you cannot easily reverse.

    From Poor Charlie's Almanack · Charles T. Munger

  • FrameworkInvestingBook

    Low risk and high uncertainty are not the same thing

    Look for situations where the range of outcomes is wide but the chance of permanent loss is small, because the market prices both as risk.

    Idea generation, special situations, and any pitch where the obvious objection is that the outcome is unknowable.

    From The Dhandho Investor · Mohnish Pabrai

  • Decision principleInvestingBook

    One person's record is a story about survivorship until proven otherwise

    Ask how many people ran the same method and are not in the sample before treating a record as evidence of skill.

    Reading any success memoir, evaluating a manager's record, or presenting your own.

    From How I Made $2,000,000 in the Stock Market · Nicolas Darvas

  • TechniqueInvestingLetter

    State, for each holding, what would have to happen for the thesis to be right

    Write the thesis with its test attached: the variant view, the evidence, and the event that would confirm or refute it.

    Writing a stock pitch, reviewing a portfolio, and any investment committee that wants to know what would change your mind.

    From Greenhaven Road Capital's Q2 2026 letter, on changing how the portfolio is built · Scott Miller

  • Decision principleDecision-makingBook

    Weight an opinion by the record of the person holding it

    In a disagreement, weight each view by that person's track record on the question, not by their rank or confidence.

    Investment committees, group cases, and any time you are deciding whose forecast to trust.

    From Principles · Ray Dalio

  • FrameworkArtificial intelligenceVideo located

    Precision against recall: which error you can afford is a business decision

    Decide which mistake is more expensive before tuning a model; the threshold is a business choice the statistics only express.

    Any model used for screening, fraud, credit or hiring, and the interview question of how you would evaluate a classifier.

    From Precision vs Recall, With a Clear Example · Kimberly Fessel