Category
Decision Frameworks
How to Use a Weighted Decision Matrix
A step-by-step method for comparing options across several criteria at once, with a fully worked three-way job-offer example and the pitfalls that quietly corrupt the result.
Expected Value: A Practical Guide for Everyday Decisions
What expected value means, worked warranty and insurance-excess examples, and the crucial cases where EV is the wrong tool: one-shot decisions, risk of ruin, and the difference between value and utility.
Reversible vs Irreversible Decisions: The Two-Way Door Rule
Jeff Bezos’s one-way versus two-way door framing, why reversibility should decide how much you deliberate, and practical ways to turn irreversible choices into reversible ones.
How to Run a Pre-Mortem Before a Big Decision
Gary Klein’s pre-mortem technique imagines a decision has already failed to surface hidden risks, using prospective hindsight to defeat overconfidence and groupthink. Includes a worked example.
How to Build a Weighted Decision Matrix You Haven't Secretly Rigged
A weighted decision matrix is only as honest as its weights. A worked before-and-after example, computed directly with ReDecide's own matrix tool, shows exactly how easy it is to flip a result — and four checks that catch it.
Expected Value and the One-Shot Problem
Expected value describes an average across many repetitions of the same choice. A worked repair-or-replace example, computed with ReDecide's own calculator, shows exactly what that average does and doesn't tell you when you only get to choose once.
Cost-Benefit Analysis When the Costs and Benefits Aren't in the Same Units
A cost-benefit tool needs every cost and benefit expressed in the same unit, but real decisions rarely offer that. A worked home-insulation example, computed with ReDecide's own analyzer, shows how a single soft assumption can flip the entire verdict.
Regret Minimization: A Framing Device, Not a Scoring Algorithm
Regret minimization is best known as a mental exercise for weighing a choice from a distance. The scorer on this site turns a narrower, formal version of that idea into arithmetic. A worked commute example, computed with the real tool, shows exactly what got kept and what got left out.
Sunk Cost: Recognising It in Your Own Reasoning
Everyone can define the sunk cost fallacy in the abstract. Catching it live, in your own list of reasons, is the hard part. A worked continue-or-pivot example, computed with ReDecide's own pros and cons scorer, shows exactly how much one sunk-cost item can distort a result.
Satisficing vs Maximising: Why "Good Enough" Often Beats "The Best"
Maximisers search exhaustively for the best option; satisficers stop at the first one that clears their bar. A worked apartment-hunt example, computed with ReDecide's own decision matrix, shows a case where maximising finds the objectively better option — and still tends to leave the maximiser less satisfied with it.
Reversible vs Irreversible: Matching Your Decision Effort to the Real Stakes
"Match your effort to the stakes" is easy to say and hard to apply. A set of worked comparisons, computed with ReDecide's own timing planner, turns the reversibility half of that rule into an actual number of days rather than a vague impression.