Maximizing vs. Satisficing

Core Concepts

The Maximization Scale: Three Different Things Bundled Together

Research by Nenkov et al. (2008) revealed that "maximizing" is not a single trait. The original Schwartz Maximization Scale, widely used in research, actually contains three conceptually distinct factors:

1. High standards — wanting the best possible outcome.
2. Alternative search — the urge to evaluate many options before deciding.
3. Decision difficulty — experiencing stress, anxiety, and indecision during the process itself.

These three dimensions can produce very different outcomes. High standards alone may be adaptive and correlate with achievement. The trouble enters when alternative search combines with decision difficulty — that pairing is what consistently predicts lower wellbeing, more regret, and less satisfaction.

Decision Difficulty: The Most Costly Component

Research on the "jingle-jangle fallacies" of maximization finds that decision difficulty — the tendency toward stress, rumination, and indecisiveness during decision-making — is the factor most strongly associated with negative emotional outcomes. It is empirically and conceptually distinct from both high standards and alternative search.

Some people have high standards and evaluate many options without experiencing decision difficulty. Others feel paralysis and distress even over modest choices. The distress component, not the thoroughness component, appears to be the key driver of suffering in maximizers.

Diminishing Marginal Returns: The Economic Case Against Maximizing

Economics formalized what intuition often misses. The law of diminishing marginal utility states that as you accumulate more of something — information, options evaluated, effort invested — each additional unit yields less added value than the one before it. The first unit of research into a decision is highly productive. The fifteenth unit produces very little incremental insight.

This principle applies to effort and quality in productive work. Empirical production function analysis consistently shows that the relationship between effort and output is nonlinear: the first 20% of effort often captures the majority of achievable gains, while the remaining 80% yields progressively smaller improvements. The curve rises steeply at first, then flattens.

Fig 1

Threshold Optimization: Where Satisficing Becomes Rational

Optimal stopping theory formalizes this with mathematics: there exists a point at which the marginal cost of continuing to search or optimize exceeds the marginal benefit. At that threshold, the rational move is to stop. Satisficing is not a compromise that falls short of optimization — it is optimization, applied to the search process itself.

The threshold is not fixed; it shifts with context. High-stakes, irreversible decisions with large outcome variance may justify more search. Low-stakes, reversible decisions with narrow outcome variance rarely do.

Compare & Contrast

Satisficers vs. Maximizers: The Full Picture

Maximizers often get objectively better outcomes. They also tend to be less happy with those outcomes, more depressed, more regret-prone, and more exhausted by the process of deciding. The gains are real. The costs are also real — and they are paid continuously.

The table below draws together what the research shows across several dimensions.

Dimension	Maximizer	Satisficer
Decision process	Exhaustive search across all available options	Search until an acceptable threshold is met
Objective outcomes	Sometimes marginally superior	Often equivalent or close
Subjective satisfaction	Lower, even with better outcomes	Higher, with equivalent outcomes
Regret	Higher — more counterfactual thinking	Lower — accepts chosen outcomes as sufficient
Effect of more options	Harder decisions, more dissatisfaction	Little change; search terminates at threshold
Decision speed	Slower; more alternatives evaluated	Faster; less opportunity cost
Wellbeing	Lower happiness, self-esteem, optimism; higher depression	Higher happiness, self-esteem, optimism; lower depression
Social comparison	More frequent; evaluates outcomes relative to others	Less frequent; evaluates outcomes against own criteria

The Social Comparison Trap

Research shows that maximizers engage in substantially more social comparison than satisficers — evaluating their outcomes not against their own criteria, but against what others got. This comparison is almost always a losing game: there is nearly always someone who got a better deal, a better job offer, a better version of the thing you bought. The maximizer's framework ensures this comparison keeps happening.

Satisficers evaluate choices against their own threshold: "Is this good enough?" When the answer is yes, the evaluation ends. The question "but did someone else do better?" simply does not arise in the same way.

Maximizing Does Not Reliably Predict Better Outcomes

One might accept all the wellbeing costs of maximizing if it reliably produced superior results. But the evidence on this is underwhelming. Research on the Maximization Scale as a predictor finds that maximization tendency only weakly predicts actual decision quality or job performance. Some studies find no relationship. The costs of maximizing are consistent; the payoff is not.

Worked Example

Choosing a Tool for a New Project

Imagine you need to pick a project management tool for a team of five people. You have two weeks before the project starts.

The maximizer approach:

You research every credible option. You read comparison articles, watch demos, create a scoring matrix, ask for team input on fourteen candidates, run two free trials simultaneously, and poll colleagues about their experiences. Three days before the project kicks off, you still haven't decided because a new option appeared in a recommendation thread.

Cost: two weeks of decision overhead, significant stress, team frustration at the delay, and — because of the exhaustive search — a large set of foregone alternatives to regret once you do choose.

The satisficing approach:

You define your threshold: the tool needs to handle task assignment, allow comments, integrate with your existing calendar, and have a free or low-cost tier. You evaluate three options you already know are viable. The second one meets all criteria. You pick it, communicate the decision, and spend the remaining time onboarding the team.

The outcome: the tool is adequate and the team is up and running faster. You will never know whether option seven would have scored slightly higher on your matrix. You also will not spend the next month second-guessing the decision.

Where the diminishing returns appear:

The first option evaluated takes you from zero information to substantial information about what is available and appropriate. The second option refines your picture. By the seventh option, you are expending significant effort for marginal updates to your understanding. The nonlinear curve is doing what it always does.

Common Misconceptions

"Satisficing means settling for bad outcomes"

The confusion here is between a bad outcome and a sufficient outcome. Satisficing means identifying an acceptable threshold and stopping search when you reach it. The threshold you set is under your control. A satisficer with high standards still reaches a high-quality outcome — they just stop searching once that quality is achieved, rather than continuing indefinitely.

The evidence on this is direct: college seniors with satisficing tendencies obtained jobs that were, by reported satisfaction measures, better experiences than those of their maximizing peers — even though maximizers obtained higher starting salaries.

"More options is always better"

Maximizers are substantially more vulnerable to choice proliferation than satisficers. When options multiply, the maximizer's evaluation burden increases proportionally: more alternatives to consider, more comparisons to make, more foregone options to potentially regret. Satisficers are relatively insulated: once an acceptable option appears, additional options beyond that point are largely irrelevant. In contexts of abundant choice — which describes most modern consumer and professional decisions — this is a structural advantage for satisficers.

"Maximizing is just being thorough"

Thoroughness and maximizing tendency are not the same thing. Thoroughness is knowing what criteria matter and checking against them. Maximizing is an orientation toward finding the best, which tends to expand the comparison set, delay decisions, and produce dissatisfaction even when a good outcome is found.

The three-factor model is useful here: you can be thorough (high standards, deliberate alternative search) without being high on decision difficulty. It is decision difficulty — the anxiety, rumination, and indecisiveness — that most strongly predicts the negative outcomes associated with maximizing, not thoroughness itself.

"The unhappiness is worth it if the outcome is better"

The empirical record on this is not encouraging. Maximization tendency only weakly and inconsistently predicts actual decision quality. The costs — depression, anxiety, regret, decision fatigue, and slower decisions — are consistent across studies. The payoff in better outcomes is modest and variable. The exchange rate is not favorable.

Research on decision-making styles and depressive symptomatology finds that avoidance of decisions, brooding about decisions, and decision-related anxiety are strongly correlated with depressive symptoms. These are not minor inconveniences — they are measurable mental health costs.

Quiz

1. According to Nenkov et al., which of the three dimensions of the Maximization Scale most strongly predicts negative wellbeing outcomes?

• A) High standards
• B) Alternative search
• C) Decision difficulty
• D) All three equally

2. In Schwartz et al.'s study of college seniors, maximizers obtained jobs with higher salaries than satisficers. What else did the research find?

• A) Maximizers also reported higher job satisfaction
• B) Maximizers reported lower job satisfaction despite better salaries
• C) Satisficers caught up in salary within one year
• D) There was no measurable difference in satisfaction

3. Which of the following best describes regret's role in the maximizer-wellbeing relationship?

• A) Regret is unrelated to maximizing tendencies
• B) Regret is a direct cause of maximizing, not a consequence
• C) Regret mediates the relationship: maximizing leads to more counterfactual thinking, which produces regret, which reduces wellbeing
• D) Regret affects satisficers more than maximizers

4. The principle of diminishing marginal returns implies which of the following about effort allocation?

• A) More effort always produces proportionally more output
• B) Each additional unit of effort produces less additional output than the previous one
• C) The first unit of effort is the least valuable
• D) Effort and output are linearly related in creative work

5. Why does option proliferation hurt maximizers more than satisficers?

• A) Satisficers evaluate more options and so are more practiced
• B) Maximizers must evaluate all available options; more options means more work and more foregone alternatives to regret
• C) Satisficers are better at ignoring irrelevant information
• D) More options reduce the probability of finding a good outcome for maximizers only

Answers: 1-C, 2-B, 3-C, 4-B, 5-B