Part One: The End of the Department · Chapter 3 of 21
Chapter 3 Where Outcomes Leak
In this chapter
Every result a company produces is the product of three terms: ability, intention and time. Ability was never scarce; intention is.
The department hides the person whose intention has gone, makes him expensive and makes him more likely, because it cuts every outcome into pieces that cannot see each other.
There is a man in every company I have ever run who has already left and has not yet told anyone.
I have met him at Orange, in the years when Naval and I had a dozen programmers and every one of them mattered. I met him at WLCI, when there were hundreds of people across the country and I could not know them all, and still I knew him when I saw him. I meet him at GoodSpace. He is not always a man, and he is never the same person twice, but he is always recognisably himself, and I have become very good at spotting him, because I have had thirty-five years of practice.
He has decided to go. He has not resigned. Perhaps he is interviewing elsewhere, perhaps he is only thinking about it, perhaps he has not admitted it even to himself. But the decision has been made somewhere inside him, and from that moment it is written on the wall for anyone who knows how to read it. He starts taking leave: a Monday here, a Friday there, a family function that needs two days. His numbers dip, not off a cliff, but steadily, week after week, in a way that never quite justifies a conversation. He becomes slow to answer. Messages that used to come back in ten minutes come back in a day. He stops volunteering. He stops arguing, which is the surest sign of all, because a man who argues with you about the work still cares about the work. And his face changes. I cannot describe it better than that, and every manager reading this knows exactly what I mean. The light has gone out of it. He is present, and he is not there.
Now set him beside a different man, who has had a bad week. His mother has been ill, or his child, or he has simply run out of road for a few days, as everyone does. His numbers dip too. He is slow to answer too. He may even take a day off. From the outside, for a week, the two men look the same. But they are not the same, and the difference between them is the most important thing in this chapter. The second man bounces back. Next week, or the week after, he is himself again, arguing, volunteering, answering in ten minutes, and the numbers recover as if they had never fallen. The first man does not bounce back, because there is nothing to bounce back to. His wanting has gone. It has not dipped; it has left, a few weeks ahead of the rest of him.
The second man has had a bad week. The first man has switched off. One is a fall in attention. The other is the end of intention. And the old company, which could see neither directly, could not tell them apart until the resignation letter arrived, by which time the outcome he was holding had been leaking for months.
This chapter is about that leak: what it is, why it happens, why the department made it worse, and why, for the first time, it can be seen before it does any damage.
Three terms
Begin with first principles.
Every result a company produces, a machine shipped, a loan approved, a candidate placed, a patient discharged, is the product of three things. Ability: can the person or the system do the work to standard? Intention: do they want this result, for this customer, and will that wanting hold? Time: will the hours be there, at the hour they are needed, for as long as it takes?
Outcome = Ability × Intention × Time.
It is multiplication, not addition, and that is the whole point of writing it down. A brilliant man who does not care produces nothing. A devoted man who cannot do the work produces nothing. A man who can, and wants to, and has no hours, produces nothing. Any term at zero makes the outcome zero, however large the other two. The man who has switched off has lost none of his ability and is still paid for all of his time. His outcome is collapsing anyway, because the middle term has gone.
The old company knew this in its bones and spent most of its ingenuity trying to keep all three terms above zero across hundreds of people at once. It hired for ability, because ability could be tested. It bought time, by the hour, because time could be counted. And it tried to manufacture intention, with targets, bonuses, appraisals, offsites and culture, because intention could be neither tested nor counted, and it was the term that kept leaking out.
Ability was never scarce
Ability is the term every company overvalued.
It is the capacity to perform a step to standard: write the letter, read the balance sheet, screen the CV, make the call. It is what a degree certifies and an interview tests, and the entire apparatus of hiring was built to find it. It was also, long before AI, the term that mattered least. Most work in most companies does not need a great deal of it. Ramesh copying registers did not need genius; he needed to copy accurately for a week. A sourcer searching on a brief does not need brilliance; she needs to search well today and again tomorrow. For the great majority of steps in the great majority of outcomes, adequate ability was always available and always cheap.
Look at the man who has switched off. Did he lose his ability? He did not. He is exactly as capable on the day he resigns as on the day he was hired, often more so. Every outcome I have watched fail through a person like him failed with full ability present in the room. That alone should have told us where the scarcity was.
Time was bought, not applied
Time is the term the industrial company understood best, because it was the term it bought.
The factory bell, the shift, the eight-hour day and the forty-hour week were all instruments for buying time, and the entire wage system rested on the assumption that time bought was time applied. It never was. When a software company that tracks how knowledge workers use their computers analysed one hundred and eighty-five million working hours of its users’ data, it found that the average knowledge worker logged two hours and forty-eight minutes a day of device time classed as productive.12 That is a measure of a screen, not of a working day, but it points where the rest of my own experience points: much of the eight hours is present and not applied.
And even the applied hours are not constant. When researchers followed four thousand caregivers in thirty-five hospitals through thirteen million moments when they should have washed their hands, they found compliance fell by almost nine percentage points between the start of a twelve-hour shift and its end, among people who knew precisely what was at stake.13 When others studied more than a thousand parole decisions by eight experienced judges, they found the rate of favourable rulings fell from about sixty-five per cent at the start of each session towards zero by its end, and jumped back to sixty-five after a meal.14 The precise causes are argued over, and should be. The shape is not. Human attention rises and falls through the day, in the most skilled people, doing the most serious work.
The old company knew all of this without the studies. Its answer was to buy more hours than it needed and more people than it needed, as insurance against the hours that would not be applied, and to call the surplus headcount. There was no other answer, because the work had to be done at the work’s hour, not the worker’s, and the only instrument for measuring applied time was a supervisor watching, whose own time was leaking just as fast.
Intention is the scarce term
Intention is the third term, and it is the one this book is about.
Intention is commitment to the outcome. Not to the task, not to the hours, not to the employer: to the result that someone on the other end is waiting for. It is what Mr Malhotra had when he shut his door for a week. It is what Dhawan had when he lay awake wondering what would happen to the company if he forgot. When it is present, it makes a person pick up the call that is not in his job, notice the part on the wrong page, stay the extra hour because the customer rang and then stopped ringing. When it is absent, it produces a man who has done exactly what the system asked of him, and a machine on the floor that cannot ship.
Intention is not motivation. Motivation is the industrial word, and the industrial company tried to supply it from outside, with money and fear. Motivation is a push. Intention is a direction, held from inside, and it either points at the outcome or it does not. You can motivate a man to be at his desk. You cannot motivate him to want the customer’s machine to ship. That wanting is there or it is not, and it varies from person to person far more than ability does. Most people have adequate ability for most jobs. Very few have an intention that holds, day after day, when nobody is watching, towards a result that is not their own.
And now the distinction the opening of this chapter was built to make. Intention and attention are not the same thing.
Intention is the direction. It is whether the person wants the outcome at all. It changes rarely, and when it changes, it changes for good: the man who has decided to leave does not decide to stay because he had a good lunch.
Attention is intention showing up today. It is the magnitude, hour by hour, of a direction that is still there. It varies constantly, in everyone, as the judges and the caregivers show. It falls at four in the afternoon and rises after tea. It falls in the week a mother is ill and rises when she is home. The man who had a bad week lost attention. The man who switched off lost intention.
Everything in the collapsed company depends on keeping these two apart. You hire for intention, because it is the scarce thing and it does not come back once it is gone. You measure attention, because it is how intention shows itself, and because its long fall is the first sign that intention has left. And you never confuse a dip in attention with an end of intention, because that is how a company loses its best people in their worst week.
Written on the wall
I said I had become good at spotting the man who has switched off. For most of my career I thought this was instinct, the kind of thing a founder learns by being burned. It turns out to be measurable.
Three researchers set out to find whether the behaviour of people about to quit could be seen by the people around them. They asked managers, students and employees what changes they had noticed in colleagues before those colleagues left, boiled what they heard down to thirteen, and then tested them. The thirteen are a portrait of the man in the opening of this chapter, drawn by strangers: productivity falls; he acts less like a team player; his attitude turns; he puts in less effort; he focuses less on the job; he expresses dissatisfaction with the job and with his supervisor; he leaves early more often; he loses enthusiasm for the mission; he shows less interest in customers; he is less interested in pleasing his manager; he is less willing to commit to long-term timelines; he is more reluctant to take on new projects.15 Then they asked managers to rate their own people on these behaviours, and waited. Thirteen months later, the people whose managers had seen these signs were, by the authors’ own account, roughly twice as likely to have left.16
Twice as likely, and seen a year in advance, by managers with nothing but their own eyes. Every one of those thirteen signs is a change in the work, and most of them are changes a system could count. Leaving early is in the attendance record. Productivity is in the numbers. Slowness is in the response times. Reluctance to commit to long timelines is in what he says yes to. Less interest in customers is in how quickly the customer’s message is answered. The face is the only sign a system cannot read, and it does not need to, because the rest are already on the wall.
And absence, the leave on a Monday and a Friday that I have watched for thirty-five years, has been studied for decades: people who are absent more are, reliably, the people who leave.17 The founder’s instinct and the researcher’s scale are reading the same signal. The only difference is that the founder reads it too late, because he reads it with his eyes, once in a while, and only for the people he happens to sit near.
The switched-off company
Now multiply him.
The man who has switched off without resigning has a name now. In 2022 the press called him the quiet quitter, and Gallup, which has measured engagement for a quarter of a century, went looking for him in the American workforce. It found that half of all employees were not engaged: present, paid, doing the minimum, still on the payroll; engagement is Gallup’s measure, and reading it as intention gone is mine. Another eighteen per cent were actively disengaged.18 Half the workforce, in other words, was the man in the opening of this chapter, and the company had no instrument that could see it, because the company could see only the resignation letters, and most of these people had not written one.
When they do write one, the cost is counted. Gallup puts the cost of replacing an employee at between half and twice his annual salary, and the cost of voluntary turnover to American business at about a trillion dollars a year. And then it adds the two numbers that matter most. Fifty-two per cent of the people who left said their manager or their company could have done something to keep them. Fifty-one per cent said that in the three months before they left, nobody had spoken to them about how they felt about their job or their future at all.19
Three months. That is the window in which the man was switched off and still there, his intention gone and his outcome leaking, and in half the cases nobody noticed, or noticed and said nothing, because nobody could see the work closely enough to be sure, and nobody wanted the conversation without being sure.
Why the department made it worse
The department did not create the man who switches off. People have always lost their wanting, and they always will. But the department made him invisible, and made him expensive, and made him more likely.
It made him invisible because it cut every outcome into pieces that could not see each other. The man at desk four was holding one piece of a result whose customer he had never met. Nobody downstream could see his piece until it arrived, late, and nobody upstream could see it at all. His numbers were his own numbers, reported once a month, mixed with the numbers of everyone else on his floor. His leave was in one register, his output in another, his response times nowhere. To see that he had switched off, a manager had to put three registers together in his head, as Rao put the shelves and the register together, and most managers did not, because they had forty other people and no time.
It made him expensive because a switched-off man in a department is holding a piece of a hundred outcomes at once. When his intention leaves, it leaves every outcome that passes through his desk, and each of them leaks a little, and the sum of the little leaks is the three weeks of silence a customer experiences and never understands.
And it made him more likely, because the department was designed on the assumption that intention would fail, and the design guaranteed that it would. Cut an outcome into seven pieces and give each to a specialist, and you have told each specialist that the outcome is not his. You have asked him for ability and time, and put the intention somewhere else, in a manager, in a target, in a process, because you could not trust it to survive in seven heads at once. You were right; it could not. But in taking it out of the seven heads you removed the one thing that held each of them to the work, and then wondered why so many of them drifted. Intention needs a target with a face. The department gave every desk a target without one.
Signal and noise
There is a way of saying this that an engineer will recognise, and I am an engineer, so I will say it that way too.
Every outcome is a signal: what the customer wants, travelling from the first intention to the final result. Everything that does not serve that signal is noise: the handoffs, the reports, the meetings about the meetings, the hours present but not applied, the parts of a job that exist only because the job was cut from a larger one and the cut left edges. The department is a low signal-to-noise structure by nature, because it is organised around the noise, around skills, functions and hours, and the signal has to find its own way through.
The switched-off man is the noise floor rising. While he is there, his desk still produces output, still sends reports, still attends meetings; it makes all the sounds of work. But the signal through his desk is fading, and in a noisy structure nobody can hear it fade until it is gone.
A vector is a high signal-to-noise structure, because it is organised around the signal: one outcome, one chain, one human who wants it. There is almost no noise in it, because the noise was mostly the price of carrying skills in heads that could not hold them all, and the skills are now in a machine. In a quiet room, a fading signal is the loudest thing there is.
The machine holds the baseline
Now what the machine changes, which is simpler than people expect.
Of the three terms, the machine supplies two completely and the third not at all.
It supplies ability, to the standard of a competent professional, and where it does not yet, it will; the line moves every year and has never moved down. More to the point, its ability does not vary. It does not have a bad week. It performs a step the same way at four in the afternoon as at nine in the morning, on the thousandth file as on the first. The judge’s sixty-five per cent falling to zero, the caregiver’s nine points, the man’s numbers drifting through his last three months: none of these happen to a chain.
It supplies time, all of it. A chain works around the clock in the customer’s time zone, and every hour it works is applied, because it has no attention to withdraw. Two hours and forty-eight minutes of productive work in an eight-hour day becomes twenty-four hours of it, and the surplus headcount that was insurance against unapplied time is no longer needed.
What it does not supply is intention. A chain does not want the customer’s machine to ship. It will do everything it was built to do to ship it, to standard and on time, but when something happens that it was not built for, a customer who stops ringing, a part on the wrong page, a brief whose words say one thing and whose need says another, it does not notice, because noticing is a function of wanting. The gap between what the chain was built to do and what the customer needs today is where intention lives, and it is the one place the machine cannot go.
So the machine holds the baseline and the human supplies the peaks. The chain carries ability and time at a level that does not tire. The human carries intention, which is the only thing she is now for, and applies it where it matters: at the gates, where the chain’s work is released or held; at the signature, where the firm commits; and at the moments, several times a day, when something is not quite what the chain expected and someone has to care. She does not supply ability, because the chain has it. She does not supply the hours, because the chain has those too. She supplies wanting, at the hours when her attention is highest, and the chain covers the rest.
Which means that in the collapsed company there is one human per outcome, and the one thing she brings is the one thing the switched-off man has lost. A department could carry a switched-off man for months, because his ability and his hours were still there and they were most of what his desk was for. A vector cannot carry him for a week. If the aligner’s intention goes, the vector has nothing human left in it at all.
What follows
Three consequences follow, and the rest of the book works them out.
The company stops hiring for ability. The human still needs enough ability to judge the chain’s work, and that is not nothing. But ability is no longer the scarce term, and the selection apparatus built to find it, the degree, the test, the technical interview, is pointed at the wrong thing. The company hires for intention instead: for the person whose wanting has held, over years, when nobody was watching, towards results that were not her own. That is a different search, and the chapter on selection is about how to run it.
The company pays for intention, and pays a great deal. If one high-intention human and a chain of agents produce what a department of twenty produced, the one human is worth to the company something like what the twenty were worth. The doctrine pays that person very highly, far above the market rate, and deliberately so, because at that price the company can choose from the very few whose intention does not waver, and because at that output the price is still cheap. The old company could not afford to pay for intention because it needed so many people that it could afford to pay only for ability and time. The collapsed company needs so few that it can pay for the one thing that was always rare.
And the company measures attention, never hours, and never the person. Attention is read from the work: how fast the gates are answered, whether the daily review was held, how many decisions are waiting, whether the quality of judgement calls is holding. These are signals in the outcome, not observations of a human being, and they are enough. They are, almost exactly, the thirteen signs the researchers found, minus the face.
The engine sees it first
I will end where I began, with the man who has already left, but this time in a vector.
He is the aligner of a sales vector in an Outcome of four hundred. Three weeks ago, somewhere inside him, he decided to go. He has told nobody. He still puts on the headset every morning.
But the engine reads the work, and the work has changed. The gates that he used to answer within the hour of his chosen time are being answered at the end of the day, and twice this week not at all, so they defaulted open and the chain flowed on without his judgement. The daily review, which he held every morning for fourteen months, has been skipped three times in a fortnight. The samples he takes at the gates are smaller. The decisions waiting on him are older. He has taken two Mondays. None of these alone would turn a tile. Together, inside his tile, they cross the red threshold, and by the rule of the tile the outside of it has turned red.
The floor shows the master the red, and the vector’s own quartermaster, which has the history of every one of his days, shows her the difference between a bad week and a switched-off one. A bad week is a sharp dip and a recovery. This is a slope. It shows her the tile, and the slope, and the days.
So the master does the thing that, according to Gallup, half the people who quit say nobody did for them in their last three months. She calls him. Not to accuse him; the doctrine does not accuse anyone of anything the work has not shown. She tells him what the engine sees, and asks him what is going on. Perhaps it is a bad month after all, and he needs a fortnight, and the tuner holds the vector while he takes it. Perhaps he has an offer elsewhere, and she can match it, or cannot. Perhaps he has simply finished with this work, and says so, and is relieved to say so. Whatever it is, the conversation happens three weeks after the decision instead of three months, and before he resigns, not after.
And while they talk, the vector does not leak. His tuner has been his standby from the first day; she knows the chain as well as he does, and has been answering his late gates for a week already. If he goes, she holds the vector until a new aligner is chosen, and the customer, who never knew there was a man who had switched off, never feels the gap.
I learned to read that man by instinct over thirty-five years, and I read him too late, every time, because I read him with my eyes and only when I happened to be looking. The engine reads him from the work, every minute, for every vector, and it reads nothing else. It does not read his messages, his applications elsewhere, or his life. It does not need to. The work is enough, because the work is where intention shows itself, and where it is first seen to leave.
That is the leak, and that is where it is stopped. Most companies believe they are stopping it already, with a machine at every desk. The next chapter is why they are not.
Questions this chapter answers
Why are handoffs between departments so costly?
Because the outcome is cut into pieces that cannot see each other. Nobody downstream sees a piece until it arrives late, and nobody upstream sees it at all, so every stall and every lost intention leaks into the result the customer is waiting for.
What are the three terms of every result?
Ability (can the person or system do the work to standard), intention (do they want this result, for this customer, and will that wanting hold) and time (will the hours be there when they are needed). Any term at zero makes the outcome zero.
Why does the book say intention is the scarce term?
Adequate ability was always available and cheap for most steps, and time could be bought. Intention that holds, day after day, when nobody is watching, towards a result that is not your own, is rare, and the department was designed on the assumption that it would fail.
Notes
- RescueTime, “Work-life balance study 2019,” based on 185 million hours of anonymised and aggregated working-time data from its users in 2018: knowledge workers averaged 2 hours and 48 minutes a day of productive work. ↩
- Hengchen Dai, Katherine L. Milkman, David A. Hofmann and Bradley R. Staats, “The Impact of Time at Work and Time Off From Work on Rule Compliance: The Case of Hand Hygiene in Health Care,” Journal of Applied Psychology (2015): 4,157 caregivers in 35 US hospitals, about 13.7 million hand-hygiene opportunities over two years; compliance fell by an average of 8.7 percentage points from the beginning to the end of a typical 12-hour shift. ↩
- Shai Danziger, Jonathan Levav and Liora Avnaim-Pesso, “Extraneous Factors in Judicial Decisions,” Proceedings of the National Academy of Sciences 108, no. 17 (2011): 1,112 rulings by eight Israeli parole judges over ten months; the proportion of favourable rulings fell from about 65 per cent to nearly zero within each session and returned to about 65 per cent after a food break. The interpretation has been disputed, notably on the ordering of cases (Weinshall-Margel and Shapard, PNAS, 2011); the pattern of decline within a session is the point here, not its single cause. ↩
- Timothy M. Gardner, Chad H. Van Iddekinge and Peter W. Hom, “If You’ve Got Leavin’ on Your Mind: The Identification and Validation of Pre-Quitting Behaviors,” Journal of Management (2018), summarised by Gardner and Hom in Harvard Business Review, October 2016. Thirteen manager-observed behaviours; each one-point rise on the thirteen-item scale multiplied the odds of leaving voluntarily within thirteen months by about six and a half (odds ratio 6.48), over and above established predictors of turnover. ↩
- Gardner, Van Iddekinge and Hom, as above. In the authors’ own summary, employees whose managers rated them at 4.2 or more on the thirteen behaviours had an expected probability of leaving about two times that of the typical employee, over and above established predictors of turnover; the paper’s odds ratios are larger, and the book uses the authors’ plainer figure. ↩
- Atanu Mitra, G. Douglas Jenkins Jr. and Nina Gupta, “A Meta-Analysis of the Relationship Between Absence and Turnover,” Journal of Applied Psychology (1992): across studies, absence and later turnover were positively related, consistent with absence as part of a progression of withdrawal that ends in leaving. ↩
- Gallup, “Is Quiet Quitting Real?”, September 2022, based on a survey of 15,091 US employees in June 2022: 32 per cent engaged, 50 per cent not engaged (“quiet quitters”), 18 per cent actively disengaged. ↩
- Gallup, “This Fixable Problem Costs U.S. Businesses $1 Trillion,” March 2019: the cost of replacing an employee ranges from one-half to two times annual salary; voluntary turnover costs US businesses about $1 trillion a year; 52 per cent of voluntarily exiting employees said their manager or organisation could have done something to prevent their leaving; 51 per cent said that in the three months before they left, no manager or leader had spoken with them about their job satisfaction or future. Gallup’s 2024 update puts the two figures at 42 and 45 per cent. ↩
From the text of Collapse or Collapse by Vinay Pasricha, shared here in full. © 2026 Vinay Pasricha. All rights reserved. Plain text (Markdown).
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