SHIT IN = SHIT OUT

AI, acting as a “co-pilot,” can help us interpret our KPIs faster and even more accurately. But we mustn’t forget one fundamental thing: The data for these KPIs depends on prior recording. And if that data is “shit,” the information we get from our KPIs will also be “crap.”

Table of Contents

First, record the data accurately. Then analyze it.

Therefore, it is vital to ensure, first and foremost, that our data is recorded.

And in that regard, it doesn’t really matter: the software or platform they use to register, any “premium” training or instruction that may have been provided to the registrants, or the follow-up reports we hope to obtain.

What’s needed is COMMITMENT to the process. And not just involvement.

Commitment from the very beginning and over time

That commitment must be present both during the initial implementation phase and, thereafter, over time.

No letting up.

This applies to both the registrar and the person in charge. Because the person in charge cannot let their guard down at the first sign of trouble when it comes to monitoring and control.

So… why on earth do we register?

Regularly recording data is pointless if we cannot subsequently analyze it statistically.

But it doesn’t make sense either if that data is “crap.”

Maybe it will help justify something.

But, really, it’s a waste of time!!!!

What should we record?

EVERYTHING: By “EVERYTHING,” we mean whatever we want to record. And that’s up to us. However, whenever any part of this EVERYTHING occurs, we must record it—not just whenever we feel like it.

USEFUL: We record only useful information—information that can be analyzed statistically at a later date or is simply descriptive. Preferably, this information should not be repetitive or already present in other systems.

OK: What is recorded must ALWAYS reflect reality. And we must ALWAYS record the same situation in the same way. If something is WHITE, we must always record it as WHITE. And not, depending on the time of day or our mood that day, as: IVORY, SMOKE, or BONE.

IN FULL: We must always record the same data for the same situation. Because if we record something different each time, we won’t be able to compare, interpret, or draw any conclusions with even a modicum of reliability.

It’s not always easy to register properly

It’s not easy to guarantee this, especially if the recording is done manually.

We might think, then, that not “just anyone” is capable of registering.

Well, yeah, that’s right, buddy!!!

Although that doesn’t mean I can’t participate.

Quite simply, an “expert” is needed to validate the entry before it is finalized and approved. And it doesn’t have to be the CEO.

The Role of the Expert

That expert must have been involved in setting up the registry.

You should know: what we do, why we do it this way, what benefits we expect to gain from it, and when data can truly be considered reliable.

Because validation doesn’t mean mistrust.

Validation means ensuring that what we are about to analyze makes sense.

When a KPI Smells Off

Furthermore, since things will inevitably slip through the cracks—because our day-to-day work demands more of us than the records themselves, which often just add more and more details—whenever we see “suspicious” results for a KPI, we’ll need to investigate.

If something seems off, we’ll need to determine whether it’s: a one-time data entry issue, a widespread data entry issue, a misinterpretation of the data, or an actual deviation that we need to address. And, if we identify the problem, we’ll need to correct it.

Escaping the “shit”

It’s not overmanagement.

It’s not a waste of time.

This is not meant to belittle the trial court clerk.

It’s simply running away from the “crap”!!!!

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