Decision Tool Finder
Six tools, six different shapes of decision. This reference sorts them by what kind of decision each one actually fits, what it hands back, and — just as importantly — what it can’t tell you.
How to read this table
Three questions about your decision do most of the work of picking a row. First, are you comparing several options against several criteria, or weighing a single option yes-or-no? Second, do you know — or can you confidently estimate — the probability of each possible outcome, or are you genuinely in the dark? Third, if the choice turns out badly, how hard is it to undo? A matrix and a pros-and-cons scorer both answer the first question; expected value and regret minimization sit on opposite sides of the second; and the timing planner is built entirely around the third.
Which tool fits which decision
| Tool | Fits when | Outputs | Main limitation |
|---|---|---|---|
| Weighted Decision Matrix | Several real options, several criteria that all matter at once | A weighted total and a percent-of-maximum score for every option, plus an overall ranking | The weights and scores are still your judgment calls, entered by hand — a matrix can be quietly reverse-engineered to justify a preferred answer if the weights get set after the scores are already in |
| Weighted Pros & Cons Scorer | A single yes-or-no call on one option | A pro/con lean percentage and a lean-yes, lean-no, or toss-up verdict | It only compares one option against staying put or walking away — it can't rank several distinct options against each other the way a full matrix can |
| Expected Value Calculator | A decision with a knowable, repeatable, or estimable chance for each outcome | The probability-weighted average payoff, plus the single best and single worst outcome | The average is a statement about many repetitions of the same gamble — on a genuine one-shot decision, you get the best or worst outcome, never the average itself, and the tool can't tell you which one you'll actually get |
| Cost-Benefit Analyzer | Costs and benefits that land in different time periods and need to be compared on today's terms | Net present value, a benefit-cost ratio, and an undiscounted payback period | It only accepts one numeraire (typically a currency) per period — real costs and benefits that aren't naturally denominated in dollars (comfort, time, stress) get left out unless you force a dollar estimate onto them |
| Regret Minimization Scorer | Options and future scenarios you can list, but can't confidently attach probabilities to | Each option's worst-case regret across every scenario, and the option with the smallest worst-case regret | It is deliberately blind to how likely each scenario actually is — a rare, severe scenario can dominate the recommendation as much as a common one, and it approximates the psychological idea of 'regret' with a payoff shortfall, which leaves out things like whether the outcome came from your own action |
| Decision Deadline & Timing Planner | A decision with a real deadline, where you need to know how long to deliberate and when to actually decide by | A recommended number of deliberation days, a buffer to act on the decision afterward, and a firm decide-by date | The deliberation window is only as honest as the importance and reversibility ratings you feed it — both are self-assessed and easy to distort in whichever direction is emotionally convenient |
Every row also carries a criteria-count and probability-knowledge note, expanded below, and a worked example computed live from the same function the calculator above it uses.
Worked examples, computed live
Weighted Decision Matrix
Scenario: Three vendors scored 0–10 on cost, quality, and reliability, weighted 40/35/25
Result: Vendor B wins at 72% of the maximum achievable score
Number of criteria: Several to many (typically four to eight)
Probability knowledge needed: Not applicable — every option and its qualities are already known; there's no uncertain future to weigh
Weighted Pros & Cons Scorer
Scenario: Weighing a job change: two pros (flexible hours, better commute) against one con (lower starting pay)
Result: 63.6% lean, a "lean-yes" verdict
Number of criteria: A handful of upsides and downsides (not a full multi-option comparison)
Probability knowledge needed: Not applicable — the points for and against are known; nothing about the future needs a probability
Expected Value Calculator
Scenario: An appliance service plan: a 15% chance it pays out $180, an 85% chance it pays out nothing and cost $45
Result: Expected value of -$11.25, despite a best case of $180
Number of criteria: Not applicable — this compares outcomes of one choice, not multiple criteria
Probability knowledge needed: Known or confidently estimable — every outcome needs an attached probability
Cost-Benefit Analyzer
Scenario: A $1,000 upfront improvement returning $400 a year for three years, discounted at 4%
Result: NPV of $110.04, a benefit-cost ratio of 1.11, paying back in 3 years
Number of criteria: Not applicable — this compares one option's cash flows over time, not multiple weighted criteria
Probability knowledge needed: Not applicable — flows are entered as amounts, not probabilities
Regret Minimization Scorer
Scenario: Two suppliers under low/medium/high demand scenarios, payoffs of 10/20/15 vs. 15/15/25
Result: Supplier Y recommended: worst-case regret of 5, vs. 10 for the alternative
Number of criteria: Not applicable — this compares payoffs across scenarios, not weighted criteria
Probability knowledge needed: Unknown or untrusted — the whole point of the criterion is to avoid needing a probability for each scenario
Decision Deadline & Timing Planner
Scenario: A moderately-important (4/5), medium-reversibility decision with a 21-day deadline
Result: 8 days of deliberation recommended, well inside the 21-day runway (plenty-of-time)
Number of criteria: Not applicable — this sizes a deliberation window, not a comparison between options
Probability knowledge needed: Not applicable — importance and reversibility drive it, not probability
Frequently Asked Questions
How do I actually pick a tool from this list?
Start with three questions about the decision in front of you. Is it several options compared on several criteria, or one option you're weighing yes-or-no? Do you know, or can you confidently estimate, the odds of the possible outcomes? And if you're wrong, how hard is it to undo? Those three answers point at a specific row below far more reliably than how urgent or important the decision merely feels.
What if a decision doesn't cleanly match any one row?
Most real decisions don't fit a single tool perfectly, and that's fine — the tools are meant to be combined, not chosen exclusively. A common pattern is running a weighted decision matrix to shortlist options, then using the decision timing planner to decide how much longer to deliberate before committing to the winner.
Why does every tool on this page list a limitation?
Because every one of these frameworks trades away something to get its answer — expected value trades away the spread of outcomes for a single average, a matrix trades away nuance for a score, regret minimization trades away probability for worst-case safety. Knowing what a tool can't see is as important as knowing what it can, and skipping that half of the picture is the most common way any of these frameworks gets misused.
Are these worked examples real, or illustrative?
Every number in the table and the worked-example list below is produced by actually calling the same calculation each tool uses, on the example scenario described — not typed in by hand. A test in the codebase re-runs each calculation independently and checks it against what's shown here, specifically so this reference page can never quietly drift out of sync with the calculators themselves.
This page is a map, not a decision-maker. It points you toward a tool and tells you what that tool leaves out — the judgment calls, the weights, the probabilities, and the final choice are still yours.