Satisficing (Herbert Simon)
Satisficing — a portmanteau of "satisfy" and "suffice" — is a decision-making strategy introduced by Nobel laureate Herbert Simon. It describes the practice of choosing an option that meets a minimum acceptable threshold rather than searching for the optimal (best possible) choice. Satisficing is a direct challenge to the efficiency mindset's assumption that optimization is always worth pursuing. It reframes the relationship between efficiency and effectiveness: sometimes the most effective choice is to stop optimizing and move on.
The Core Concept
Simon developed satisficing as an alternative to the classical economic model of maximization (also called optimization or rational choice theory). The classical model assumes:
- Decision-makers have perfect information.
- They can evaluate all possible alternatives.
- They will choose the option that maximizes utility.
Simon argued this is descriptively false. Real humans operate under bounded rationality:
- Information is incomplete and costly to acquire.
- Cognitive capacity is limited.
- Time is finite.
Under these constraints, satisficing is the rational strategy: set an aspiration level, search until you find an option that meets it, and stop.
Satisficing vs. Maximizing
| Maximizing | Satisficing | |
|---|---|---|
| Goal | Find the best possible option | Find a good-enough option |
| Search | Exhaustive | Terminates at threshold |
| Information | Complete | Sufficient |
| Cost | High search cost | Lower search cost |
| Risk | Analysis paralysis, regret | Suboptimal but timely |
| Best for | High-stakes, one-time decisions | Routine, time-sensitive, or low-stakes decisions |
Relationship to Efficiency vs. Effectiveness
Satisficing reframes the Drucker distinction from The Difference Between Efficiency and Effectiveness:
The Efficiency Trap of Maximizing
Maximizing is the ultimate expression of the efficiency mindset applied to decision-making: "How can we get the absolute best outcome?" But the search for the optimal solution has its own cost — time, attention, and opportunity. An exhaustive search for the best option can be highly inefficient.
The Effectiveness Case for Satisficing
Satisficing is an effectiveness-oriented strategy: "Is this good enough to achieve our goals?" It recognizes that:
- The cost of finding the optimal solution may exceed the benefit. Spending three weeks choosing a vendor for a $500 purchase is inefficient.
- Speed of decision-making has its own value. A good decision made today is often better than a perfect decision made next month.
- Diminishing returns apply to search. The difference between the 3rd-best and the best option is often marginal, while the cost of finding the best is substantial.
Drucker's Insight Through Satisficing
Drucker said effectiveness is "doing the right things." Satisficing adds: and knowing when you've done enough of them. The most effective leaders are not those who optimize every decision, but those who know which decisions deserve optimization and which deserve "good enough."
Applications
Business Strategy
- Product development: Ship a minimum viable product (MVP) that meets customer needs rather than waiting for a perfect feature set.
- Hiring: Hire a candidate who meets the key requirements rather than waiting for the perfect candidate who may not exist.
- Vendor selection: Choose a supplier who meets your threshold criteria rather than running an exhaustive RFP process for every purchase.
Personal Productivity
- Decision-making: Set a time limit for decisions. When the timer goes off, choose the best option you've found so far.
- Perfectionism: Recognize when "good enough" is sufficient. A completed draft is better than an unwritten masterpiece.
- Information gathering: Stop researching when you have enough information to make a reasonable decision.
Public Policy
- Regulation: Implement policies that are "good enough" to improve outcomes rather than waiting for perfect legislation.
- Infrastructure: Build solutions that meet current needs rather than designing for every possible future scenario.
Satisficing and the Pareto Principle
Satisficing pairs naturally with The Pareto Principle (80-20 Rule):
- The Pareto Principle identifies the 20% of effort that delivers 80% of results.
- Satisficing says: stop there. The remaining 80% of effort delivers only 20% of additional results — the cost of optimization exceeds the benefit.
- This is the essence of effectiveness: knowing when to stop.
Limitations
- Aspiration levels can be set too low. Satisficing requires good judgment about what "good enough" means. Set the bar too low and you accept mediocrity.
- Not suitable for all decisions. High-stakes, irreversible decisions (choosing a life partner, selecting a corporate strategy) may warrant maximization.
- Can become a rationalization for laziness. "Good enough" can be an excuse for not doing the work of genuine evaluation.
- Cultural bias. Some cultures and industries reward maximization and view satisficing as settling.
See Also
- The Difference Between Efficiency and Effectiveness — The Drucker distinction that satisficing reframes.
- The Pareto Principle (80-20 Rule) — The empirical regularity that supports satisficing.
- Opportunity Cost — The cost of searching for the optimal solution is the value of what you could have done instead.
- Chesterton's Fence — Understanding when to accept existing structures rather than optimizing them away.