Every leader I know has done this, and every one of them explains it the same way: the quota hole. The arithmetic says the quota hole is the smaller of the two problems, and it is the only one that closes on its own.
We kept a seller roughly twelve months past the point we knew. Not eighteen months of doubt: twelve months of avoidable delay after the evidence was already in.
And the evidence was never the quota line. It was a call. Listening to one made it obvious that the training and the narrative were not being deployed. Everything after that was confirmation.
And underneath all three, a motive that is entirely human: the commit bucket needed to look comparable to the higher performers. Nobody was lying. They were managing how they appeared in a review that compared them to people doing better.
The gap between them is the year you lose.
The rep did not hide behind their performance. They hid behind their pipeline, and the manager was not being weak. They were believing an instrument that had no standard of evidence behind it.
Without a rule about what must be known before a deal counts, there is nothing to separate a seller who is slow from a seller whose pipeline is fiction. So the benefit of the doubt runs, and runs, and runs.
The framework is not a nicety that makes the decision more comfortable. It is the entire difference between those two numbers.
The pipeline was the hiding place. Much of it was not qualified to close, and nothing said so.
Activity was solid, so the read stayed optimistic.
The optimism was manufactured by their own reporting. It looked decent because that is what they were saying, and everything kept moving a month.
The manager was swamped.
Firing someone is unpleasant.
Replacing them leaves a quota hole while a new person ramps, and that felt like the worse trade.
The last one is the only one that sounds like a business argument rather than avoidance, which is exactly why it has to be killed with arithmetic rather than with encouragement.
Measure it in quota-months across a two-year window. A low performer holds 55 percent. A replacement ramps over six months at about 45 percent, then holds 95 percent.
| Months 1 to 6 | 7 to 12 | 13 to 24 | Total | |
|---|---|---|---|---|
| Act at month six | 3.30 | 2.70 | 11.40 | 17.40 |
| Act at month eighteen | 3.30 | 3.30 | 6.00 | 12.60 |
A model, not measured actuals. The assumptions are stated above and every one of them is adjustable.
At a worked monthly quota of $100,000 that is roughly $480,000. And the gap keeps widening, because at month twenty-four one scenario has a fully ramped performer and the other still has someone ramping.
So the quota hole is real. It is just smaller than the hole you are already standing in, and it closes, which the other one does not.
An evidence standard on the pipeline. A fixed set of facts that have to be known before a deal can sit in a commit. That single change is what moves the decision point from eighteen months to six, because it separates slow from fictional on week one instead of on month twelve.
And call scoring, weekly. The signal was always in the call. What was missing was a number attached to it, because an unscored call review is a conversation and a scored one is a datum.
Which puts the forecast instrument in a performance module, where nobody expects to find it. The rubric is sold as a forecasting tool. It is also the thing that ends this.
Not whether they are behind. How long you have known. If the honest answer is more than two quarters, the delay is already costing more than the replacement will, and the number above is the shape of it. The model is free and it will show you what a seat not held by a productive person is worth against your own quota.
Run the model, free No account. Your numbers stay in the link.