Satisficing: Why Good-Enough Decisions Beat Perfect Ones

What is satisficing?

Satisficing is a decision strategy in which you set a clear “good enough” threshold and stop searching as soon as an option clears it. Instead of comparing every possible choice, you accept the first one that meets your criteria — trading a marginally better outcome for speed, clarity, and less regret.

Herbert Simon introduced the idea because real people — and real organizations — never have complete information, unlimited time, or unlimited attention. Instead of pretending to optimize, they satisfice. Simon saw this not as a flaw, but as the only rational way to decide under real constraints.

What’s the difference between satisficing and maximizing?

Satisficers stop when an option clears their bar; maximizers keep searching until they’re sure they’ve found the best one. Maximizing can produce a slightly better choice, but it costs time and missed windows — and research shows maximizers tend to feel less satisfied with the choices they make.

	Satisficer	Maximizer
Goal	An option that clears the bar	The best possible option
When they stop	When the threshold is met	When all options are compared
Typical cost	Sometimes misses a slightly better option	Time, missed windows, second-guessing
How they feel afterward	Generally more satisfied	More regret and comparison

Research by Barry Schwartz and colleagues (2002) found that maximizers tended to be less satisfied with their decisions than satisficers, and more likely to compare themselves with others.

The mistake I made: waiting for perfect information

I’ve spent years in strategy work, including competitive bids and investment decisions where the window is fixed and closes whether you’re ready or not.

More than once, I kept gathering information to raise my confidence — one more data point, one more check — and the window closed. We didn’t enter the bid. Or the investment timing passed.

What I learned only later was uncomfortable: the information I thought was missing was most of what the market had. Everyone else was deciding with roughly the same picture. I told myself I had no basis to decide. In reality, I had the basis. What I lacked was the nerve to act on an incomplete picture.

That’s the hidden cost of maximizing at work. It feels like diligence. Often it’s hesitation wearing diligence’s clothes.

When is “good enough” actually enough?

Good enough is enough when a decision is reversible, when timing matters more than precision, and when more information wouldn’t change what you do. In those cases, deciding at 30–40% of the information you’d like is usually cheaper than waiting — because the cost of being late exceeds the cost of being wrong.

These are the rules I use now. They aren’t theory; they came from getting it wrong first.

1. If the decision is reversible and timing matters, decide at 30–40%.
Jeff Bezos famously suggested making most decisions with about 70% of the information you wish you had. For decisions you can undo, I go lower. If the cost of being late is higher than the cost of being wrong, waiting is the expensive option.

2. If the decision-maker already knows the terrain, move and keep thinking.
When the person deciding has deep experience with the business and its risks, holding the decision for more data rarely adds much. Decide, start moving, and keep refining while you go.

3. Weigh the opportunity cost, not just the risk.
Every extra week of analysis has a price: the option that disappears while you study it. Ask what you lose by not deciding — not only what you lose by deciding wrong.

4. Separate what you can predict from what you can only respond to.
When the information I have is reliable, and the remaining variables are things no one can control, I go. I treat what happens next as the part I’ll handle, not the part I needed to know before starting.

Where this worked: hiring

Hiring is where I learned to satisfice on purpose.

When I hire, I look at market references, the résumé, salary expectations, and past experience. In years of doing this, I’ve never met a candidate who was perfect on all four. If I had waited for one, I’d still be waiting — and the work would still be undone.

So I stopped trying to max out every dimension. I decided which two mattered most and set a clear bar for each:

• Market references → character. What people who worked with them say tells me more about how they behave than any interview.
• Past experience → how they handled something hard. Not what they achieved when things went well, but how they got through it when things didn’t.

If a candidate cleared both bars, I moved — even if the salary was a stretch or the résumé had gaps. The other dimensions were things I could manage after the hire. Character and resilience under pressure were not.

That’s satisficing in practice: you don’t lower the standard. You choose which standards actually predict the outcome, and you stop searching once they’re met.

A quick “good-enough decision” check

Before you gather more information, run these five questions. If most answers point toward “reversible, costly to wait, unavailable anyway, experienced decider, uncontrollable variables,” you are already at good enough — decide now.

1. Can this be undone? If yes, lower your threshold.
2. What does waiting cost? Name the specific opportunity that closes.
3. Is the missing information actually available? Or is it missing for everyone?
4. Who’s deciding? Deep experience can substitute for extra data.
5. What’s left that I can’t control? If it’s uncontrollable, it’s a response problem, not an information problem.

How do you make decisions with incomplete information?

Treat incomplete information as the normal condition of work, not an exception. Ask one question: will the next piece of information change what I do? If not, it isn’t information — it’s reassurance. Decide, then put your energy into handling what happens next rather than trying to predict it.

Reassurance feels productive, but it is expensive when there’s a deadline — and almost every real decision has one.

When should you NOT satisfice?

Don’t satisfice when a decision is truly irreversible, when safety, legal, or compliance issues are involved, or when the cost of being wrong far exceeds the cost of being late. In those cases, maximize: gather the extra information, compare the options, and accept the delay as the price of getting it right.

Satisficing is a tool for the many decisions that don’t fit those three. The skill is telling them apart.

Frequently Asked Questions

The bottom line

Most of the time, the information you’re waiting for isn’t coming — or it’s already in your hands. Set your threshold, decide, and spend your energy on handling what happens next.

That’s the whole idea behind the name of this site: pick enough.

Related reading:

• Pre-mortem: how to surface the risks nobody says out loud (+ free template)
• AI decision making psychology (cognitive offloading)
• AI halo effect: 4 ways confident answers fool you
• The best AI for each task

Related: Before you copy someone else’s “good enough” decision, check whether you’re only seeing the ones that worked: Survivorship bias: why success stories mislead you at work.