Measuring Invisible Work - MAC156

here is a specific moment this episode is built around, and you have almost certainly lived it.

You are writing up your contribution — for a review, a self-assessment, a conversation you are trying to prepare for. You know what happened. You know it mattered. You get to the word saved — "which saved us about" — and you stop. Because the next word is supposed to be a figure, and you do not have one. So you write "a lot of time" instead, and the sentence quietly dies.

That is the failure point. And it is not a laziness problem. It is a permission problem.

You believe that to put a dollar figure on your own work, you would need the real number — HR's actual turnover model, finance's actual cost-per-incident, something audited and defensible that lives in a system you do not have access to. Since you cannot get it, you conclude you are not entitled to a number at all. And so you arrive at every performance conversation armed with adjectives while the organization around you runs entirely on estimates.

The revenue forecast in that room is an estimate. The headcount plan is an estimate. The projected savings from the reorg somebody presented last quarter was, structurally, a guess with a confidence level and a name attached to it. Nobody in that room is working from audited truth. They are working from numbers somebody was willing to own. You are not missing the data. You are missing permission to estimate.

There is a second thing working against you: you will aim low. Most people place their own contribution below where outside evidence puts it, and the error runs in that direction far more often than the other. The career self-diagnostic episode (MAC-152 at managingacareer.com/152) covered this in detail — the calibration gap is real, it is directional, and knowing about it does not automatically fix it. So when you finally do reach for a number, your instinct will be to shave it. Know that going in.

Where the numbers actually live. There are three sources, and you probably have access to all three right now.

The first is public. There is a whole industry of aggregated employer data sitting in the open, and it covers exactly the metrics leadership already watches. On turnover, for instance, the pooled employer numbers put the cost of replacing someone at roughly 40 percent of their salary for a frontline role, around 80 percent for a mid-level professional, and north of 200 percent for a leader. That is not your company's model. It is a range your company's model almost certainly falls inside.

The second place is your own organization's ordinary paperwork — the one people never think to check. The job posting for the role you helped fill has a salary band printed on it. Your recruiting team's open requisitions tell you how long a seat stays empty. Your own calendar tells you how many hours a month go into the meeting you eliminated. None of that is confidential. It is just sitting there, un-mined, because you have never thought of a job posting as a pricing document.

The third place is a person. Somebody in finance, HR, or ops owns the cost you are trying to estimate, and they will usually answer one specific question if you ask it as a specific question. Not "what does turnover cost us." That gets you nothing. Try: "When we backfill an analyst on my team, roughly how long does the seat sit empty?" That is answerable in one line, and it is the only piece you were missing.

The anchor number. The thing you build out of those three sources has a name, and naming it is what makes it usable. Call it an anchor number: a public or borrowed figure you pick up on purpose, label out loud as borrowed, and use as the starting point of an estimate rather than the end of one. Forty percent of salary is not what your company pays to replace somebody. It is the number you multiply against until somebody hands you a better one. An anchor number is not your company's number. It is a number you can defend while you wait for a better one.