Decision fatigue for entrepreneurs: why your work window disappears before the work starts

Decision fatigue for entrepreneurs is the slow drain that comes from making a constant stream of small, unstructured choices about your own work: what to start, what to answer, what matters today. For a founder with a limited work window, it shows up as the minutes that vanish between sitting down and actually starting. The fix is not more willpower. It is fewer open decisions at the moment the window opens.

I'm building Mogul Maxxing in public, and the first problem I wanted to write about is the one that sits underneath almost everything else in this series: the gap between having time and using it. If you are running a business around a job, a family, a second business or a creative practice, you probably don't have long, empty days. You have windows. Sixty minutes before everyone wakes up. Ninety minutes on a Thursday afternoon. The question is what happens in those windows, and why so many of them end with nothing to show.

What is decision fatigue, really?

"Decision fatigue" is a popular term for the idea that making many decisions wears you down, so that later decisions get worse: you default, you avoid, or you go with whatever is easiest. The term was popularised by the psychologist Roy Baumeister and the journalist John Tierney in their 2011 book Willpower, building on a line of research Baumeister started in the late 1990s called ego depletion.

The ego depletion idea was that self-control draws on a limited resource. In the classic 1998 experiment, people who had to resist tempting food gave up sooner on a frustrating puzzle afterwards. Hundreds of follow-up studies seemed to confirm it, and the idea spread into business books, productivity advice and the now-familiar story that successful people wear the same clothes every day to save their decision-making energy.

It is a satisfying story. It is also on much shakier ground than most articles admit, and if you are going to build your business systems around an idea, it is worth knowing which parts are solid.

What the research actually shows (and what it doesn't)

The big replications came back close to zero

In 2016, a team led by Martin Hagger ran a pre-registered replication of a standard ego depletion task across 23 laboratories with more than 2,000 participants. The effect they found was close to zero. A second large, multi-site test led by Kathleen Vohs, one of the original researchers in the field, was published in 2021 with data from 36 sites and more than 3,500 participants. It found an effect so small that, as one commentary put it, the data neither clearly support nor debunk ego depletion.

That does not prove that tiredness never affects decisions. It does mean that the simple "every decision drains a tank" model is not something you should treat as settled science.

The famous hungry-judges study is contested

You may have seen the 2011 study of Israeli parole boards by Shai Danziger and colleagues, which found that favourable rulings were most likely at the start of a session and fell sharply before the judges' food breaks, then jumped back up afterwards. It is often quoted as proof of decision fatigue.

It has been challenged. Other researchers pointed out that the order of cases was not random (for example, prisoners without legal representation tended to be heard later in a session), and a 2016 simulation by Andreas Glöckner argued that the size of the effect was likely overestimated. A later study of nearly 100,000 pretrial release decisions in a large US court system found only a modest dip before meal breaks and no rebound after them. The honest summary is that this study is interesting, but it is not the clean proof it is often presented as.

"35,000 decisions a day" has no real source

You will also see the claim that adults make 35,000 decisions a day. People who have tried to trace it have not found a study behind it. It appears to have spread from article to article without a primary source. I won't use it here, and I'd treat any article that leads with it with caution.

Choice overload is real, but only sometimes

The well-known jam study by Sheena Iyengar and Mark Lepper (2000) found that shoppers who saw 24 flavours were less likely to buy than shoppers who saw 6. But a 2010 meta-analysis of 50 experiments by Benjamin Scheibehenne and colleagues found the average choice overload effect was virtually zero. A later 2015 meta-analysis by Alexander Chernev and colleagues helped explain why: too many options does hurt, but mainly when the options are complex, the task is difficult, and you are unsure what you want. Which, unfortunately, describes a founder's to-do list quite well.

What holds up better: attention residue and open loops

Here is where the research gets more useful for anyone working in short windows.

• Attention residue. Organisational researcher Sophie Leroy published a study in 2009 showing that when people switch from one task to another, part of their attention tends to stay with the first task, especially when it was left unfinished. Their performance on the next task suffers. In later work with Theresa Glomb (2018), she found that writing a quick "ready-to-resume" plan for the interrupted task before switching reduced that residue and improved performance on the new task.
• Interruptions raise stress, not just time. In a 2008 study, Gloria Mark and colleagues at the University of California, Irvine found that people who were interrupted often finished the task in the same time or faster, but reported more stress, frustration, time pressure and effort. Interrupted work can look efficient while costing more.
• Unfinished goals nag you, and a plan quiets them. In 2011, E. J. Masicampo and Roy Baumeister found that unfulfilled goals kept intruding on people's thoughts during an unrelated task, and that simply making a specific plan for the goal reduced that interference, even though the goal itself was still unfinished.
• Pre-made "if-then" decisions work. Peter Gollwitzer's research on implementation intentions ("When X happens, I will do Y") is one of the better-supported findings in behaviour change. A 2006 meta-analysis by Gollwitzer and Paschal Sheeran, covering 94 independent tests, found a medium-to-large effect on reaching goals.
• Beliefs about willpower matter. A 2010 study by Veronika Job, Carol Dweck and Gregory Walton found that people who believed willpower is easily used up showed depletion-like effects, while people who did not believe that showed much less. In other words, the story you tell yourself about your energy may be part of the problem.

Put together, this suggests a more practical picture of what "decision fatigue" feels like in a founder's day. It is not that you used up your decisions at breakfast. It is that you arrive at your work window carrying a pile of undecided questions, half-finished tasks and unread messages, and the window gets spent sorting through them.

Why your work window disappears before the work starts

If you have ever opened your laptop with an hour and lost the first half of it, the pattern is usually some mix of these:

1. The first decision is still open. You know you have time, but not what the time is for. So the first thing the window does is hold a meeting with yourself about priorities.
2. The inbox gets to vote. You check messages "quickly" to make sure nothing is urgent, and now other people's requests are competing with your own plan.
3. Everything is at the same level. Your list mixes a five-minute admin task with a strategic decision and a creative project. With no ranking, every item asks to be considered every time.
4. Yesterday is still in your head. The task you stopped in the middle of last time is still pulling at your attention (that's the attention residue from above), so you either restart it without a plan or avoid it.
5. The task is too big to start. "Work on the offer" is not a task. It is a project with twenty decisions hidden inside it, and your brain knows it.
6. The tool becomes the task. You reorganise the planner, try a new app, or rewrite the list. It feels productive and decides nothing.

None of this is a character flaw. It is what happens when the system for deciding lives in your head and gets rebuilt from scratch every time you sit down.

The real cost for founders

For an employee, a lost half-hour is annoying. For a founder with limited windows, it compounds. If your business only gets a few focused hours a week, losing a third of each window to sorting and switching means the important work, the offer, the product, the strategic decisions, gets the leftovers.

There is also a quieter cost. When every window starts with "what should I do?", you tend to choose what is urgent, easy or visible. The work that actually moves the business is often none of those. Over months, that is the difference between a business that runs on purpose and one that runs on whatever was loudest that day.

Seven decision rules that give the window back

These rules come from the research above rather than from a personal success story. I'm testing them in the Mogul Maxxing build, and I'll report back on what holds up. Use them as a starting point, not a prescription.

1. Decide the first task before the window opens

The single most useful change is moving the first decision out of the window. At the end of one work session, or the night before, write down the one task the next window is for. Not a list, one task. When the window opens, the decision has already been made, and you start.

2. Write a ready-to-resume note every time you stop

Borrowing directly from Leroy and Glomb's research: before you close the laptop, write two or three lines. Where you stopped, what the very next step is, and anything you need to remember. It takes a minute. It reduces the pull of the unfinished task while you are doing other things, and it means the next window starts on a step instead of a question.

3. Turn repeat decisions into if-then rules

Many of the decisions that eat a window are the same decisions every week. When do I check messages? Which content goes out on which day? What do I do when a new idea arrives mid-session? Write each one as an implementation intention and stop deciding it again. For example: "If a new idea comes up during a work window, I write it in the ideas list and keep going." "If a message isn't from a client, it waits until the end of the window."

4. Make the inbox wait until after the first block

Given Gloria Mark's findings on interruptions and stress, the inbox is one of the easiest places to protect a window. If you can, do the first part of every window before opening email or messages. If that isn't realistic for your business, set a narrow rule, such as checking only for messages from two or three specific people.

5. Shrink the task until the first step is obvious

If a task keeps getting skipped, it is often because it hides several decisions. Break it down until the first step needs no further thought. "Work on the offer" becomes "write three possible names for the offer". "Fix the website" becomes "list the three pages that need copy changes". You can still do a lot in a session; you just never start with a fog.

6. Give each window a single theme

Switching between unrelated types of work is where attention residue does the most damage. If your windows are short, give each one a theme: a creating window, an admin window, a selling window. You'll still have to switch sometimes, but less often, and with a ready-to-resume note when you do.

7. Keep the decision system outside your head

All of these rules need somewhere to live. A notebook works. So does a simple document. This is also where AI can genuinely help, not by deciding for you, but by holding context: your current priorities, your open loops, your rules and your last ready-to-resume note, so that you can ask "what was I doing, and what's next?" and get an answer in seconds instead of reconstructing it. The judgment about what matters stays yours. The remembering doesn't have to.

Decisions that eat the window, and the rule that replaces each one

A simple 60-minute work window plan

Here is one way to put the rules together for a one-hour window. Adjust the times to your own rhythm.

The last five minutes are the most important ones. They are where tomorrow's first decision gets made, while the context is still fresh and the cost of deciding is lowest.

Common mistakes when fixing decision fatigue

• Making the system too elaborate. If maintaining the system takes more decisions than it removes, it isn't helping. Start with the one-task rule and the ready-to-resume note.
• Treating all decisions as the enemy. Some decisions are the work: pricing, positioning, what to build next. The goal is to remove the repetitive ones so there is room for the important ones.
• Relying on willpower stories. If you believe you'll "run out" by the afternoon, you may give up earlier than you need to. Design your windows around clarity, not around a battery.
• Handing judgment to a tool. AI and apps can hold context and suggest options. Deciding what matters for your business is still yours.

Frequently asked questions

Where this goes next

This is the first article in the Mogul Maxxing series, and it sets up the rest. The next themes, AI as a second brain, founder operating systems, multifaceted focus, the move from creator to creator-founder, and validating an offer before you overbuild it, all build on the same idea: decide once, in the right place, so your limited windows go to execution.

If you want the build notes as they happen, including which of these rules hold up in practice, join the Mogul Movement. And if you want to see the program taking shape around them, the Mogul Mastery founding waitlist is open.

This article is general information about productivity research, not medical, psychological or business advice. Results vary. If ongoing exhaustion or stress is affecting your health, speak to a qualified professional.