# What a business statistic is, and which numbers to track

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author: [Axel Jedlitschka](https://theonlyaxelj.com/en/about)  
published: 2026-10-08  
updated: 2026-10-08  
language: en  
reading time: 5 min  
topic: Organization  
source booklet: [It Was a Slow Month](https://theonlyaxelj.com/en/shop/introduction/statistics-conditions)

A statistic is a number compared with its own past that counts product delivered, not a lone figure or a measure of effort.

A number you can trust in a business is one that's compared with the same number in the past, and that counts something delivered. A lone figure, or a number that measures how hard you worked, only looks like a measurement.

## It was a slow month

Almost every owner has said it, and the sentence is empty. You can't tell from it how slow, slow compared with when, or the one thing that matters most: what to do next.

So what comes after it is usually one of two things. Either nothing happens, or people panic. Both cases are missing the same thing, a number you can actually read.

This isn't a technical detail. The number is what tells you which condition the business is in, and each condition calls for a different action. According to the booklet, the worst mistake of all isn't getting the number wrong but getting the condition wrong, because then you run the wrong formula. A number you can't trust leads straight there.

## A single number isn't a statistic yet

The source defines the term in a way that throws out half the figures people collect. A statistic, it says, is a number or amount “compared to an earlier number or amount of the same thing.”

Two words carry all the weight: **compared**, and **earlier**. If you took in thirty thousand this month, that means nothing until you know what you took in the month before. A number standing alone is just a number. Only when its own past sits beside it does it become a statistic.

Suppose a repair shop owner counts 41 jobs this month. How many did he have a month ago? That he doesn't know. He has a figure. He has no statistic.

The opposite example is the same owner with a record of a whole year, month after month. It's exactly the same measurement. The difference is that now it tells him something.

The source also gives a shorter version: statistics are simply the numbers that count the products you've attained. In other words, what actually came out, not what happened along the way.

## Every job has a number

According to the source, every role in a business has a product, and that product can be shown as a number. The source calls a role a **hat**: a set of duties someone carries, even when one person carries several.

In a one-person business that sounds like overkill. In practice it's the opposite. You switch hats several times a day. Track a single figure and you'll learn that something is off, but never which part of the business it's in.

Anyone who tracks income alone gets stuck right here. When income drops, he can't tell whether the problem is in the enquiries coming in, the deals closing, or the work going out. He sees that there's a problem, but not where it sits.

With several separate numbers, one for each stage, the drop shows up in just one of them. Once you see where it is, the diagnosis almost makes itself. One number tells you there's a problem. Several tell you where.

## The number has to count product, not effort

Here is the distinction that decides which numbers are worth tracking at all. In the source's words, “You can't ask for a NUMBER; you CAN and MUST ask for a SOMETHING.” And that something is a product, a tangible thing.

So a good number counts something that left the business and reached someone. Not the hours you put in, and not how many calls you took. How much of what you sell actually reached a customer.

This isn't a matter of taste. A measure of effort can go up without a single good thing happening. You can work more hours, take more calls and send more quotes, and the business stays exactly where it was.

A measure like that is tempting, because it rises every time you work harder. It rises even in a month where nothing sold, and that's precisely why it misleads.

Suppose a coach measures hours worked. Her number goes up in the very month in which no deal closes. The measure says all is well, and reality says something completely different.

When the same coach counts reports delivered to clients, she gets a number she can't raise unless something real has happened. That's the difference between a number that reassures you and a number that tells you the truth.

## What the booklet has on this

In It Was a Slow Month this chapter ends with two short exercises, one called choose and one called test. The chapters after it deal with what you do with the number: how to read it, and which action fits each condition.

A slow month is a feeling. A number compared with its own past, counting what was delivered, is the start of an answer.

- [It Was a Slow Month](https://theonlyaxelj.com/en/shop/introduction/statistics-conditions): Three numbers, a table that turns a slant into a condition, and seven formulas.

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