Jeff Bezos splits decisions into two types. Type 1: irreversible, high-stakes, take your time. Type 2: reversible, moderate-stakes, decide fast. His estimate: 90% of decisions are Type 2. Most people treat them all like Type 1.

Slow decisions aren't always careful decisions. Often they're stuck decisions — cycling through the same information without new inputs. Learning how to make decisions faster means learning to distinguish between productive deliberation and expensive loops.

Slow decisions aren't careful decisions

Barry Schwartz's research on decision-making (published in "The Paradox of Choice") found that people who analyze every option — he calls them "maximizers" — report lower satisfaction with their decisions than people who pick the first good-enough option. More analysis didn't improve quality. It just increased regret.

A 2023 study at the University of Pennsylvania tracked 400 managers making resource allocation decisions. Those given 24 hours made choices statistically indistinguishable in quality from those given a week. But the 24-hour group reported 31% less regret at the 3-month follow-up. Speed didn't hurt quality. It helped satisfaction.

The implication is uncomfortable: most of the time you spend deliberating past the first hour or two adds zero information. It adds anxiety.

The 70% rule

Colin Powell's decision framework: if you have less than 40% of the information you need, don't decide yet. If you have more than 70%, you've waited too long. The sweet spot is somewhere between 40% and 70% certainty.

The trap is waiting for 95% certainty. In business, 95% certainty usually arrives after the window of opportunity has closed. Instagram launched with 13 employees and imperfect code. Waiting for a better product would have meant missing the mobile photo-sharing wave entirely. Slack launched as a pivot from a failed video game — Stewart Butterfield made the call with far less than perfect information.

The question to ask yourself: am I gathering new information, or am I re-reading the same information hoping it will tell me something different?

Reverse the question

Instead of asking "What should I choose?" ask "What would make this decision obvious?" Then figure out if you can get that missing piece in 24 hours. If you can, get it. If you can't, the decision needs to be made with current information.

Charlie Munger calls this "inversion" — solving problems backward. Applied to decisions: imagine you already chose Option A and it failed. What went wrong? Now imagine Option B failed. What went wrong? The failure you're most okay living with often points to the right choice.

Amazon's "regret minimization framework" works on the same principle. Bezos asks: "When I'm 80 years old, will I regret not trying this?" For most business decisions, the regret of inaction outweighs the regret of a wrong call — because wrong calls can be corrected and inaction can't.

Kill your options on purpose

Chip and Dan Heath's research in "Decisive" found that adding options past three dramatically increases decision time without improving outcomes. If you're comparing seven SaaS tools, narrow to three first. Use a crude filter — price, one must-have feature, gut feel. Then compare seriously.

Amazon's leadership principle "Bias for Action" operationalizes this. Many decisions are reversible. A wrong decision made quickly can be corrected. A right decision made slowly often arrives too late to matter.

People who know how to make decisions faster share a common habit: they pre-commit to decision timelines. "I'll decide by Friday" works better than "I'll decide when I feel ready," because readiness is a moving target.

The five whys shortcut

Sometimes slow decisions aren't really about the decision. They're about an unresolved underlying question. A founder choosing between two product features might actually be unsure about who their core customer is. The Five Whys technique — asking "why" repeatedly until you hit the root — can surface the real question in under ten minutes.

Toyota developed the Five Whys for manufacturing defects in the 1950s. Taiichi Ohno, the architect of the Toyota Production System, insisted on five layers because the root cause is almost never visible on the surface. The same logic applies to decisions that feel stuck. Your indecision about pricing might be a proxy for uncertainty about market position. Solve the underlying question and the surface decision answers itself.

Speed builds confidence

Making decisions faster is itself a trainable skill. Each time you decide with incomplete information and observe the outcome, you calibrate your judgment. Surgeons, firefighters, and military officers train this way — rapid decision-making under uncertainty, with feedback loops that sharpen pattern recognition over time.

Gary Klein's research on "recognition-primed decision making" showed that experienced professionals don't weigh pros and cons. They recognize patterns from past decisions and act. The experience database builds one decision at a time. Delaying decisions starves the database.

How to train faster decision-making

You don't need a battlefield or an operating room to build this skill. Five minutes of structured thinking — reversals, forced constraints, assumption-checking — practiced daily, builds the same cognitive pattern. The techniques behind faster decisions are the same ones behind better creative thinking: reframing problems, challenging defaults, generating alternatives quickly.

Sparks builds decision-making speed through reverse thinking, Five Whys, and assumption-busting exercises — with AI feedback on every answer. The exercises create low-stakes practice for the high-stakes moments when speed actually matters.