Slow Decision Making Isn't Caution: The Decision Clock
Your last pricing decision took five weeks. Nobody wasted a week. The analysis was real, the two options were genuinely close, and everyone involved had other work that could not wait either. Reconstruct it afterwards and every individual step looks defensible.
Five weeks is still the number that matters, because the competitor, the client waiting on the quote and the quarter all ran on calendar time rather than on your process.
Slow decision making gets diagnosed fast and wrongly: too many people in the room, a culture that punishes being wrong, not enough data or too much. Each of those exists in real companies, and none can be confirmed from the hallway, where a delay and a deliberation look identical. Before you name the cause you have to know where the five weeks sat, and that takes three timestamps.
- A delayed decision has two intervals and only one of them is work. From raised to ready, a decision is gathering: information, analysis, consultation. From ready to closed, it is waiting, and waiting is a property of the structure rather than of the people.
- The Decision Clock: three stamps on any decision, raised, ready and closed, split the elapsed time into gathering and waiting. You cannot manage a delay you have not split, because an unsplit delay is indistinguishable from thoroughness.
- Kathleen Eisenhardt's study of eight microcomputer firms found the reverse of the caution story. The fast decision makers used more information than the slow ones, not less, and developed more alternatives, not fewer.
- William Judge and Alex Miller, across firms in three US industries, found decision speed was associated with higher performance only in high-velocity environments. Speed is not a universal virtue, which is why I go after the waiting interval instead.
- Three structures stretch the waiting interval: no named closer, a closer waiting on an input with no deadline, and one room closing everything so the calendar becomes the queue.
- Time five decisions this week: write the three stamps for the last five decisions you closed, total both intervals, and change the structure behind whichever one is larger.
Is slow decision making a sign of caution?
Not reliably, and the assumption is worth testing before you build anything on it.
The caution story is appealing because it flatters everyone: if decisions take time here, it must be because the stakes are high and we do our homework. It is also unfalsifiable as stated, explaining every delay equally well, which means it predicts nothing.
Kathleen Eisenhardt put it under load. Her inductive study of eight microcomputer firms asked how executive teams make rapid decisions in a fast-moving industry, and the pattern runs against the intuition: fast decision makers use more, not less, information than slow decision makers, and develop more, not fewer, alternatives, through what she called a two-tiered advice process. She reports that conflict resolution and the integration of strategic decisions with tactical plans are critical to decision pace, and she proposes that fast decisions built on this pattern lead to superior performance (Eisenhardt, 1989).
Read the scope before the conclusion. Eight firms, one US industry, the 1980s, an inductive design built to generate propositions rather than test them at scale. I do not read that as settling what happens in a forty-person company in Cluj or Copenhagen. I read it as removing one defence: slowness is not by itself evidence that more information was gathered, because in the sample where somebody looked, the better-informed teams were the faster ones.
Which leaves the question open rather than answered. If the extra weeks are not buying information, what are they buying? Sometimes something real: a board member on holiday, a legal opinion, a customer who has to be asked. Sometimes nothing at all. The difference is measurable, and almost nobody measures it.
The Decision Clock: raised, ready, closed
Take any decision that annoyed you with how long it took and put three timestamps on it.
- Raised. The first moment the decision existed as a question somebody needed answered. Not when it hit an agenda, but when it appeared, usually in a message or a corridor conversation.
- Ready. The moment the last input genuinely needed to close it was available. The number arrived, the legal opinion landed, the customer answered. After this stamp no new information entered the decision, which is the test for whether you placed it correctly.
- Closed. The moment somebody with the right to close it closed it, in a form the rest of the company could act on.
Two intervals fall out of three stamps.
Raised to ready is gathering. This is work. It has a floor set by other people's calendars, and compressing it below that floor is how you get decisions that have to be reopened. A gathering interval stretched because a customer takes four days to answer an email is a relationship problem, not a decision-system problem.
Ready to closed is waiting. Nothing enters the decision during this interval, by construction, because the ready stamp is defined as the moment the inputs stopped arriving. The decision is sitting. It is sitting for structural reasons, and the structural reasons are legible once you stop averaging them into one number called “five weeks”.
That is the whole instrument: three stamps, two intervals, one subtraction. It is deliberately crude. You will not recover the exact hour from a six-week-old thread and you do not need to, because the gap you are looking for is measured in days.
The split is worth doing because the two intervals respond to different interventions. A long gathering interval shortens when you change what you require before deciding, which is a standards question. A long waiting interval shortens when you change who may close what, which is a decision rights question. Teams that never split them apply the first fix to the second problem: cut the analysis, keep the queue, and five weeks become four and a half with less information in them.
When I run this with a leadership team, the stamp that causes the argument is the second one. Nobody disputes when a decision was raised or when it closed. Everyone has a position on when it became ready, because placing that stamp honestly means admitting that the last two weeks produced no new information. I would keep that argument even if the numbers came out useless.
Why does a decision sit after it is ready to close?
Three structures account for the waiting interval in the engagements I run, and each maps to a different dimension of the decision system. None of them is about effort.
No named closer. The decision is ready, everyone can see it is ready, and no single person holds the right to end it. So it waits for a room, a consensus, or a moment when enough of the relevant people are in one conversation to make closing it feel safe. This is Decision Clarity, and of the three it is the one I find cheapest to fix and the one I most often see mistaken for a people problem. The giveaway is that it closes instantly once somebody with standing says “we are doing option B”, and everyone's private reaction is relief rather than surprise.
An input with no deadline attached. There is a named closer, and the closer cannot act alone. They need a consult, a ruling on a seam between two functions, or a sign-off from above. That is often correct design. What is almost never designed is the clock on it. A consult right without a deadline is an open-ended veto held by whoever is slowest to reply, and it stays invisible because nobody refused anything. This is Escalation Discipline, and the fix is a stated window rather than a removed requirement: the consult has four days, after which the closer closes.
One room closes everything. The calendar becomes the queue. If the only forum that can close a decision meets weekly, a decision that becomes ready on Wednesday waits for Monday, and one that becomes ready on Monday afternoon waits six days. Spread arrivals evenly across the week and the average wait after readiness is half the cadence, before anybody deliberates about anything. That is arithmetic about the cadence rather than a finding about your team, and I rarely see it counted, because it never shows up as anybody's delay. This is Leadership Load Balance, and it is why leadership meetings that do not produce decisions cost more than the hour they occupy.
Decision Authority Dependency sits across all three. We score it alongside the five dimensions as a moderator, never inside them. The more of the system actually runs through one person, whatever the org chart says, the longer the waiting interval gets for everything that person touches. A founder who delegated a decision class on paper but kept the habit of being consulted has not shortened the queue, only made it harder to see, because the delay now arrives as courtesy rather than as escalation. This is where the Delegation Envelope earns its keep: a limit nobody wrote defaults to zero, and a closer unsure where their authority stops waits, which is free for them and expensive for you.
Three causes, three different fixes, and no way to tell which you have without the second stamp.
Does deciding faster actually make the company better?
Only in some environments, on the evidence, and the qualification matters more than the headline. So here I would resist the obvious next move, which is to declare speed a virtue and start a programme about it.
Two years after Eisenhardt, William Judge and Alex Miller took the question to a more varied sample: firms across three US industries, biotechnology, textiles and hospital care, chosen because they move at different speeds. Decision speed was associated with the simultaneous consideration of many alternatives regardless of context, which echoes Eisenhardt. The performance result did not generalise. Decision speed was associated with higher performance only in high-velocity environments (Judge & Miller, 1991).
Both studies are observational and both predate the market you operate in, so neither tells you what speed would be worth in your company. What the pair of them does is narrow the claim. Fast is not better by default; fast was associated with better where the ground was moving, and was not where it stood still. A leadership team that tries to decide quickly about things which do not change quickly is being hasty with a vocabulary borrowed from somewhere else.
This is why latency and speed are worth separating. Speed is how long you take to decide. Latency is how long a closeable decision sits unclosed. Shortening the gathering interval when the environment does not demand it means deciding on less, which is a real trade. Shortening the waiting interval costs you nothing, because the information has already arrived, the analysis is already done, and the only thing accumulating is calendar.
That asymmetry is why I start here rather than with a decision-making framework. Picking between RAPID, RACI and DARE changes how a decision gets made. It does nothing for a decision already made in substance and waiting for a room, which in my experience is a larger share of the complaint than anybody expects before they measure.
How do you time your own decisions?
Five steps, about ninety minutes, and you need your calendar and your sent mail rather than your memory.
- Pick the last five decisions you closed personally. Not the five most painful ones, which bias the result toward drama. The last five, in order, whatever they were. Two of them being small is information rather than a flaw in the sample.
- Reconstruct the three stamps from the record. Search the thread for when the question first appeared, find the message where the last needed input arrived, and find the message where you closed it. Days are precise enough. Where you cannot find the ready stamp, that is itself a finding: a decision whose readiness nobody noticed was never waiting on information.
- Total the two intervals separately. Gathering days against waiting days, across the five. Resist averaging them into one number, because the average is what you have been carrying around already.
- For every long waiting interval, name which of the three structures caused it. No named closer, an input with no deadline, or one room closing everything. If two apply, write both; they stack rather than compete. If none applies, you have found a fourth cause and it deserves more attention than my three.
- Change one structure and measure the same five classes next month. One, not three. The second measurement exists to tell you whether the fix worked, and three simultaneous changes make that unreadable.
The shape below recurs across the engagements I run. It is not one company's story, and I offer it as an illustration of a pattern rather than as a measured result. The waiting total comes out larger than the team expected, the biggest single contributor is the weekly forum nobody counted as a bottleneck because it always starts and ends on time, and the hardest conversation is not about the forum. It is about the two decisions where the closer was named, available and sure of the answer, and still waited to say it out loud in front of other people.
No cadence change will touch that last one. The same mechanism sits under chronic escalation: closing a decision alone carries a cost that waiting for company does not, and nobody needs that explained to them.
So the question I would put to your leadership team this week is not how fast you decide. For the last decision that frustrated you with how long it took, when exactly did it become closeable? If nobody can answer, the five weeks were never five weeks of deciding, and the fix is not in the room where you have been looking.
Frequently asked questions
What is decision latency?
Decision latency is the time a decision spends closeable but unclosed: the second interval on the Decision Clock, running from the moment the last needed input arrived to the moment somebody with the authority closed it. It is distinct from decision speed, which covers the whole elapsed time including gathering. Latency is worth separating out because nothing enters the decision during it, so shortening it does not cost you quality.
Is slow decision making a sign of a careful team?
Not by itself. Kathleen Eisenhardt's study of eight microcomputer firms found that fast decision makers used more information than slow ones, not less, and developed more alternatives, not fewer. One industry and a small inductive sample does not predict what happens in your company, but it does remove the assumption that slow implies thorough. To tell in your own case, split the elapsed time into gathering and waiting and see whether the extra weeks held any new information.
Does faster decision making improve performance?
It depends on the environment. William Judge and Alex Miller, studying firms across three US industries, found decision speed was associated with higher performance only in high-velocity environments, not in slower-moving ones. Both that study and Eisenhardt's are observational, so neither establishes what speed is worth in a specific company. The safer target is latency: shortening the interval in which a closeable decision sits unclosed trades no quality away, because the information has already arrived.
How do you measure how long a decision takes?
Put three timestamps on it. Raised, when the question first existed. Ready, when the last input needed to close it was available. Closed, when somebody with the right to close it did. Raised to ready is gathering, ready to closed is waiting. Reconstruct all three to the nearest day from the record, your calendar and your sent mail, not from memory, for the last five decisions you closed, and total the two intervals separately.
Why do leadership teams wait to close decisions that are already clear?
Three structural reasons account for it in the engagements I run. The decision has no named closer, so it waits for a room. The closer needs an input that carries no deadline, so a consult right behaves as an open-ended veto. Or one forum closes everything, so the meeting cadence sets a floor on the wait however obvious the answer is. Decision Authority Dependency makes all three worse: the more the system routes through one person in practice, the longer everything they touch sits.
Sources
Eisenhardt, K. M. (1989), Making fast strategic decisions in high-velocity environments, Academy of Management Journal, 32(3), 543-576
Judge, W. Q. & Miller, A. (1991), Antecedents and outcomes of decision speed in different environmental contexts, Academy of Management Journal, 34(2), 449-463
Client examples are anonymized composites; no figures are invented.
How long do your decisions sit after they are ready to close?
Five minutes. No account. A structural read on whether your decision system, not your team, is the real constraint.