eduKateSG · Judgement · The Gold Standard of Education
Stop searching when a feasible option clears an explicit aspiration level
Choose the explanation you need, or follow all twelve chapters in order.
Full chapter index · Independent practice · Judgement subject guide
Satisficing replaces an impossible instruction—find the best among every alternative—with a bounded search rule: define what must be good enough, inspect options in a defensible order and stop when one meets the aspiration level. The method can reduce delay and search cost, but it can also hide weak thresholds, biased ordering or premature closure. A gold-standard use makes those choices visible and revisable.
The worked examples are fictional. Satisficing does not override law, safety, rights, professional duties or evidence that a threshold is inappropriate.
A well-designed stopping rule also leaves a record for review. It states who set the threshold, which options were eligible, how the search order was chosen, what information was available, why the accepted option cleared every hard condition and what would reopen the decision. That record turns “good enough” from a personal feeling into a bounded claim that another person can inspect without pretending an unsearched optimum has been found.
Where several people are affected, record whose aspirations count and how conflicts were resolved. A single threshold can conceal unequal burdens even when the average outcome appears acceptable.
Thresholds should use observable measures and specified evidence. “Reliable supplier” is not an aspiration level until reliability is translated into delivery performance, defect handling or another reviewable condition. Also state the measurement window: a one-month average and a twelve-month tail risk can lead to different feasibility conclusions.
Run a pre-mortem on the accepted option. Ask how it could clear every current threshold yet still fail the purpose. This can reveal missing criteria, correlated failures or gaming around the measurement. Add a criterion only when it represents a real requirement; adding every imaginable concern defeats the bounded-search purpose.
Use a two-stage record when evidence arrives over time. The first stage authorises a limited, reversible action after essential thresholds are met. The second stage expands, renews or exits after observed performance. This avoids pretending that the first search must resolve every future uncertainty while still protecting against lock-in.
For example, a six-month pilot could require the same cost, delivery and defect thresholds as the supplier screen, plus a cap on transition burden. The review would compare actual results with those conditions and document any exceptions. Passing the pilot does not automatically justify indefinite renewal if demand, market alternatives or affected users have changed.
Watch for threshold gaming. A supplier may meet an average delivery target while repeatedly missing the most important orders, or keep the recorded defect rate low by classifying returns differently. Define the denominator, observation period and audit route before performance is measured. Pair numerical thresholds with a short evidence review where classification matters.
Finally, distinguish urgency from haste. A deadline can justify a smaller search and a temporary decision, but it does not erase hard constraints. Record which comparisons were deferred, why acting now was preferable to waiting and the date when the narrower decision must be reconsidered. Bounded rationality becomes responsible when its bounds are explicit rather than accidental.
Continue from The Gold Standard of Judgement within The Gold Standard of Education: learning that transfers into life and the How X Works learning library.
Full chapter index
See the mechanism · Chapters 1–2
Build the worked model · Chapters 3–5
Test what changes · Chapters 6–8
Check evidence and limits · Chapters 9–10
Practise and continue · Chapters 11–12
Optimisation assumes a defined objective, a sufficiently complete option set and a way to compare all candidates. Satisficing accepts that search, information and computation are limited.
The rule is not “choose anything acceptable.” It requires explicit aspiration levels for the criteria that matter. An option is accepted because it clears them, not because the decision maker is tired.
State which objective remains maximised, if any, and which criteria are threshold constraints. Different formulations can select different options.
Evidence check: for Separate optimisation from satisficing, preserve the observation before the interpretation. Record population, binary action, outcome and time horizon. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
An aspiration level is a threshold separating acceptable from unacceptable performance on a criterion. It should connect to need, capacity, evidence, policy or a deliberate value choice.
Avoid circular thresholds chosen after seeing the favoured option. Set them before evaluating candidates or record any change with reasons.
Distinguish minimum, target and stretch levels. The stopping rule may use the minimum while later improvement aims at the target.
Evidence check: for Build aspiration levels from the decision, preserve the observation before the interpretation. Record whose tradeoff the threshold represents. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
Imagine a school needs a printing supplier. Required thresholds are delivery within five days, defect rate below two percent and cost no more than $1,200. Supplier A offers four days, 2.5 percent and $1,050; B offers five days, 1.6 percent and $1,180; C offers three days, 1.2 percent and $1,350.
B is the first option that clears all three thresholds. A fails quality; C fails cost. Under a satisficing rule with the order A, B, C, search stops at B.
Show the table so readers can distinguish feasibility from preference. B is not proved globally best; it is the first acceptable candidate in the declared sequence.
| Supplier | Delivery ≤5 days | Defects <2% | Cost ≤$1,200 | Feasible |
|---|---|---|---|---|
| A | 4 | 2.5% | $1,050 | No |
| B | 5 | 1.6% | $1,180 | Yes |
| C | 3 | 1.2% | $1,350 | No |
Evidence check: for A worked supplier screen, preserve the observation before the interpretation. Record the formula, denominator and threshold weight. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
CHAPTER 4 OF 12 · Build the worked model
4. Search order is part of the decision rule
The first acceptable option depends on which candidates are examined first. Order may reflect arrival time, proximity, prior relationships or a randomised queue.
If order embeds a conflict of interest or excludes less visible candidates, the result is biased even when thresholds are clear. Document the eligible pool and ordering rule.
For high-consequence choices, inspect a minimum number of options before stopping. This preserves bounded search while reducing capture by the first adequate candidate.
Evidence check: for Search order is part of the decision rule, preserve the observation before the interpretation. Record TP and FP counts recalculated at that threshold. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
Every additional comparison consumes time, attention and money. Continuing may improve the choice, but delay can also lose opportunities or postpone action.
Estimate the expected value of further search against its cost. This does not require a precise probability model; a bounded range can show whether another round could matter.
Set a stop date and an extension condition. “Search until satisfied” has no operational boundary.
Evidence check: for Search cost belongs in the model, preserve the observation before the interpretation. Record treat-all, treat-none and current-practice comparators. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
Herbert Simon described aspiration levels that rise when better alternatives are easy to find and fall when search is unproductive. Adaptation can make the rule responsive, but it can also rationalise drift.
Record each threshold change, the evidence behind it and which options would change status. Do not quietly lower a safety or integrity requirement because search is hard.
Separate a mistaken threshold from a difficult market. The response may be to change the design, budget or timing rather than accept an unsuitable option.
Evidence check: for Aspiration levels can adapt, preserve the observation before the interpretation. Record the relevant range and uncertainty around differences. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
Some decisions have hard constraints and soft preferences. First remove options that violate law, safety, capacity or essential needs. Then compare feasible options on price, convenience or other preferences.
Satisficing can operate at both stages: clear every hard threshold, then seek a satisfactory balance among soft criteria.
Do not allow high performance on one dimension to compensate for a non-compensable failure.
Evidence check: for Feasibility comes before ranking, preserve the observation before the interpretation. Record calibration in the intended validation population. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
An option that barely clears every threshold under one forecast may fail under small changes. Test cost, demand, delivery and performance ranges.
Suppose Supplier B’s defect rate estimate is 1.6 percent with plausible variation up to 2.3 percent. It no longer robustly clears the two-percent threshold. Request more evidence, add monitoring or choose a margin.
Define robust feasibility as clearing the threshold across the relevant uncertainty set, not across every imaginable future.
| Supplier | Point defect estimate | Plausible upper value | Clears 2% robustly? |
|---|---|---|---|
| A | 2.5% | 3.1% | No |
| B | 1.6% | 2.3% | No |
| C | 1.2% | 1.7% | Yes on quality only |
Evidence check: for Robust feasibility tests changed contexts, preserve the observation before the interpretation. Record target prevalence and sampling weights. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
CHAPTER 9 OF 12 · Check evidence and limits
9. Review triggers prevent permanent adequacy
An option can be satisfactory today and unsuitable later. Attach measurable review triggers: missed delivery, defect rate, volume, price or regulatory change.
Specify who monitors, how often and what action follows a breach. Review without authority becomes observation only.
Keep exit costs and switching time visible. A low-cost initial choice may create a high-cost lock-in.
Evidence check: for Review triggers prevent permanent adequacy, preserve the observation before the interpretation. Record resampling boundaries and external validation. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
Satisficing is not laziness. It is a bounded decision procedure with criteria, search order and stop rule. Without those, “good enough” becomes an excuse.
It does not prove optimality. Another unsearched option may perform better. The claim is that further search was not justified under the rule and constraints.
Thresholds can encode unfairness or stale assumptions. Consult affected people and test distributional consequences before calling the option acceptable.
Evidence check: for Limits and common misconceptions, preserve the observation before the interpretation. Record capacity, downstream harms and missing utilities. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
CHAPTER 11 OF 12 · Practise and continue
11. Independent practice and changed-context transfer
Practice: apply the supplier thresholds to A, B and C. Explain why B satisfies the rule and why C’s better speed and quality do not repair its cost failure.
Changed context: the cost ceiling rises to $1,400 and the minimum search rule requires all three suppliers. Decide whether the satisficing outcome changes and whether an additional ranking rule is now needed.
Transfer to an emergency choice with a two-hour deadline. Set hard safety thresholds, a minimum evidence check and a review trigger after action.
Evidence check: for Independent practice and changed-context transfer, preserve the observation before the interpretation. Record which changed context reverses the preferred rule. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.
Is satisficing the same as settling?
No. A defensible satisficing process sets deliberate thresholds and search boundaries. Settling often implies an unexamined concession.
Can aspiration levels change?
Yes, but changes should follow evidence or constraints and remain documented. Non-negotiable requirements should not drift because search is inconvenient.
How is this different from minimax regret?
Satisficing stops when an option meets thresholds. Minimax regret compares every modelled option’s worst opportunity loss across scenarios.
For connected decision tools, read minimax regret under deep uncertainty, robust decisions and switching assumptions, and value of information.
Primary background includes Herbert A. Simon’s A Behavioral Model of Rational Choice, which formalised bounded search and adjustable aspiration levels. The example and practical audit are editorial teaching syntheses. Sources and links were checked on 22 October 2026.
Evidence check: for FAQ, sources and connected reading, preserve the observation before the interpretation. Record the decision sentence that the curve is meant to support. Then state the inference, one credible alternative, and the additional observation that would distinguish them. This compact audit keeps a fluent explanation tied to evidence that another reader can inspect.
Changed-context transfer: repeat this chapter’s decision after changing one consequential condition while holding the others fixed. Calculate or predict what should change, name the threshold or mechanism, and compare with the original case. If the conclusion survives, state the range tested; if it reverses, explain why. Transfer is demonstrated by the changed case, not asserted from the first example.
Practical decision record: write one sentence for what is known, one for what remains uncertain, and one for the next safe action. Include the evidence owner, the latest useful decision time, and the condition that would stop or reverse the action. This turns a technical result into a reviewable choice without pretending uncertainty has disappeared.