Your Definition of Normal Is Lying to You

Organizational Psychology & Efficiency

Your Definition of Normal Is Lying to You

The invisible debt of “locally correct” decisions and why your most competent people are hiding the systemic rot.

The scent of ozone and cold, pressurized hydraulic fluid has a way of sharpening the mind, usually right before something expensive breaks. I spent most of my inside the nacelle of a wind turbine, two hundred feet above the cornfields, arguing with gearboxes that didn’t want to be fixed.

But the argument that sticks with me most wasn’t with a machine; it was with my supervisor, a man who believed that a three-hour diagnostic was “just how long it takes.”

I had proven, using a simple bypass of the legacy telemetry sensor, that we could run the diagnostic in forty minutes without compromising the safety loop. I was right about the physics. I was right about the math. I lost the argument anyway. I lost because I was fighting against a “Normal” that had been built, brick by brick, out of five-minute compromises and ten-minute safety additions over a decade.

To my supervisor, the three hours weren’t a choice; they were a fundamental law of the universe, as immutable as gravity.

The Archeology of Inefficiency

An organization is a collective of habits, and a habit is the path of least resistance through a given set of tools. When we look at why a routine customer request in a finance office now takes thirty minutes when it once took twelve, we are looking at the archaeological layers of “locally correct” decisions.

Original

12 MINUTES

“Normal”

30 MINUTES

The “locally correct” growth of a simple task over time.

The thirty-minute task is a fiction created by layers of local competence. For every extra minute added to a workflow was a rational response to a specific failure at a specific point in time. In most institutions, this threshold is dangerously high.

The Training of Sarah

Consider a second-week analyst, Sarah, sitting in a cubicle that smells faintly of industrial carpet and the sharp, slightly burnt aroma of a laser printer. She is being trained by Dave, who has been there for six years. Sarah asks a simple question: “Why do we have to copy the payoff figures into this separate spreadsheet before we can generate the quote?”

“Because the accrual in the system doesn’t handle the mid-month convention on the older contracts correctly. It calculates on a 30/360 basis, but some of our legacy leases from the acquisition use Actual/365. If you don’t use the spreadsheet to bridge the gap, the numbers will be off by a few dollars, and then Audit will flag it.”

– Dave, Senior Analyst

Sarah nods and writes: Use spreadsheet for payoff calc – mid-month accrual issue.

In that moment, an inefficiency was canonized. It was transmitted, intact and unquestioned, to the next generation of the workforce. Sarah didn’t ask why the system hasn’t been updated to handle both conventions.

Dave didn’t mention that the spreadsheet was originally created as a “temporary fix” in by a guy named Marcus who left the company . The spreadsheet is now part of the landscape. It is as natural to them as the air they breathe.

Standards do not have memory. An organization’s sense of “normal” is set by whatever it currently does, regardless of how it got there. Without an external reference point, every institution eventually believes its own performance is inherent to the work rather than a property of its tools. They will defend that belief with total sincerity.

The Weight of Adaptation Debt

I was wrong to think I could win my argument in the wind turbine by being “right” about the time. I was wrong because I failed to account for “Adaptation Debt.” Adaptation Debt is the accumulated friction of every “good” decision made to work around a system’s limitations.

When a software platform cannot handle a specific billing cycle, and a human starts a manual tracker to fix it, that is a competent, reasonable, and locally correct decision. It solves the immediate problem. But it adds five minutes to the task. Multiply that by a dozen different “correct” workarounds, and you have a thirty-minute catastrophe that looks like a standard operating procedure.

For a process to be efficient, it must be unified. Since most organizations grow through acquisition or incremental tech stacks, their processes are rarely unified. They are a series of hand-offs between siloed systems that were never designed to speak the same language.

The human being in the middle-the Sarah or the Dave-becomes the translator. They are the organic glue holding together a fragmented digital architecture.

The Paradox of Competence

The degradation of standards is almost never the result of laziness. In fact, it is usually the result of high-performing people trying to do a good job despite their tools. If the employees didn’t care, the system would simply break, the errors would pile up, and management would be forced to intervene.

But because the employees are diligent, they build spreadsheets. They create “cheat sheets.” They find the “workaround.” They mask the systemic failure with their own manual effort.

This is the great irony of portfolio servicing. The more competent your staff is, the more likely you are to be blind to the rot in your infrastructure. Your team is too good at hiding the friction. They have adapted so well to the thirty-minute task that they no longer remember it was once a fifteen-minute task.

In the world of equipment finance, this friction is particularly expensive. We are talking about assets that move, depreciate, and require constant tracking. A contract is not a static document; it is a living relationship that spans years.

If your equipment leasing software requires your team to step out of the primary platform to calculate a mid-term modification or a residual buyout, you aren’t just losing time. You are losing data integrity.

Risk Multiplier per Manual Step

10 x

Every time a human has to “bridge the gap” between two systems, the risk of error increases exponentially.

Every time a human has to “bridge the gap” between two systems, the risk of a typo or a miscalculation increases exponentially.

The Reality of Checklist Creep

I remember once trying to explain to a plant manager that the reason his technicians were always “busy” but the output was low wasn’t a lack of effort. It was the “Checklist Creep.” Every time there was a minor safety incident over , a new line had been added to the morning inspection.

None of the lines were individually “bad.” One asked to check the torque on the ladder bolts. Another asked to sniff for gearbox oil leaks. Another required a photo of the fire extinguisher’s tag.

Individually, each check took . Collectively, they added to the start of every day. The technicians weren’t being lazy; they were being compliant. They were following the “Normal” that the institution had built for them.

But because the manager had never seen a time when the checklist was only three items long, he assumed the two-hour prep was a fundamental requirement of turbine maintenance. He had lost the external reference point.

Regaining the External Reference Point

When we talk about digital transformation, we often focus on “innovation” or “disruption.” These are loud, flashy words. But the real value of a unified platform isn’t in the “new” things it can do; it’s in the “old” things it stops you from having to do.

It’s about regaining that external reference point. It’s about looking at a thirty-minute task and realizing that of it is just “Adaptation Debt” being paid in installments of human life.

Modern servicing platforms succeed when they internalize the exceptions that used to live in spreadsheets. If the system can natively handle Actual/365 and 30/360 accruals, the spreadsheet dies. If the system can automate the delinquency workflow based on configurable triggers rather than a manual report, the “check-in” meeting dies. If the contract modification can be modeled, approved, and executed in one window, the “data re-entry” death-march ends.

Legacy Environment

  • Manual spreadsheet bridges

  • Sliced, incoherent data sets

  • High “Adaptation Debt”

Unified Platform

  • Native exception handling

  • Automated, trigger-based workflows

  • Zero data re-entry

The difficulty is that people will fight to keep their spreadsheets. They will defend their thirty-minute processes. This isn’t because they love inefficiency; it’s because those workarounds represent their expertise.

Dave feels valuable because he’s the one who knows how to fix the system’s mistakes. If you take away the mistake, you take away a piece of his hard-won knowledge. To move past this, an organization has to admit that its “Normal” is a lie.

It has to admit that the “locally correct” decisions of the past have become the “globally incorrect” anchors of the present.

I eventually stopped arguing with my supervisor about the forty-minute diagnostic. I realized I couldn’t change his mind by showing him the clock. I had to show him the cost.

I had to show him that by spending those extra on a “Normal” process that didn’t need to exist, we were missing the chance to prevent three other turbines from failing. We were so busy being “competent” at a slow process that we were failing at our actual mission.

Organizations function the same way. They get so good at managing the friction that they forget the friction shouldn’t be there. They train the new Sarahs of the world to accept the spreadsheet, to accept the mid-month accrual workaround, and to accept that “this is just how long it takes.”

But it isn’t. It never was.

It was just a series of good decisions that led to a bad result. And the only way out is to stop valuing the adaptation and start valuing the outcome. The thirty minutes isn’t a law of nature; it’s just a bill you’ve been paying for so long you forgot you could cancel the subscription.