You Can Over-Engineer Business Operations Too. Here's What That Looks Like.

Written By Farah Cohen

Most of what gets written about business operations, including most of what we publish here, argues for more. More rigour. More process. More structure. More reliable data. And for the businesses we usually work with, that's the right argument, because they've under-built and they're paying for it.

But there's a failure mode on the other side. It's less discussed, because it doesn't look like a failure while it's happening. It looks like professionalism. It looks like a company getting its act together. And it's just as expensive.

It's over-engineering business operations: building the operational machine for a business you don't have yet. Installing the process, the structure, and the systems of a company three stages ahead of the one you're actually running. And it's the urge to automate the parts of the business that work precisely because they're human, onboarding, cross-functional project kick-offs, the conversations where problems actually get understood, until the moments that build trust and judgment quietly disappear.

Under-build business operations and the business breaks under its own growth, that's the Eve Sleep story, the Getir story, the one we've written about before in Operations Break Three Times. Over-build business operations and the business never gets the chance to grow at all. Same root error, the operational response doesn't match the operational reality. Opposite direction.

Here's what it actually looks like.

The pattern: premature scaling isn't just hiring too fast

The Startup Genome project studied more than 3,200 high-growth technology startups and found that around 70% of them scaled prematurely along at least one dimension, and that 74% of high-growth failures could be traced to it. Startups that scaled at the right pace grew roughly 20 times faster than the ones that scaled ahead of themselves (Startup Genome).

Premature scaling usually gets discussed as a hiring problem, too many people, too soon. But the research framed it more broadly than that. A business scales prematurely whenever any part of it runs ahead of its actual stage. That includes business operations. You can scale your process ahead of your stage. You can scale your systems ahead of your stage. You can scale your org structure, your governance, your reporting cadence, all of it ahead of the business that's supposed to be running inside it.

When that happens, the operational infrastructure stops being a tool and becomes a tax. Three companies show the shape of it.

Over-engineering the product: Quibi

Quibi raised $1.75 billion and spent all of it in about six months (Yahoo Finance). It is one of the fastest, most complete destructions of capital in modern startup history, and the thing that's easy to miss is how operationally accomplished it was on the way down.

Quibi built genuinely impressive engineering. Its "Turnstyle" feature let viewers rotate their phone and switch between a perfectly composed vertical and horizontal cut of the same video, seamlessly. It was a real technical achievement. It also solved a problem no viewer had ever reported having, and the same product was locked down so tightly that users couldn't screenshot, clip, or share anything, which killed the only free distribution a new platform gets (Failory).

Around that product, Quibi built the operational apparatus of a company at scale: two high-profile executives running a full corporate structure, big-budget content pipelines, the governance and process of an established studio. All of it built before a single core assumption had been tested in market.

That's over-engineering. Not "the team was bad", the team was, on paper, exceptional. The operational machine was built for a business that was assumed into existence rather than proven into existence. When the assumption turned out to be wrong, there was no lightweight version of Quibi to fall back to. There was only the expensive one.

Over-engineering the team: Fast

Fast, the one-click checkout startup, collapsed in April 2022. The numbers are the lesson. In 2021 it generated around $600,000 in revenue while burning roughly $10 million a month, spending in the region of 200 times what it earned (TechCrunch).

Where did it go? Largely into an org chart. In the eighteen months before the collapse, Fast went from fewer than 20 engineers to more than 100, most of them hired at senior level from Meta, Google, Amazon, and the rest, on $200k-plus base salaries. Engineering became the largest division in the company. Base salaries alone for that team ran around $30 million a year (The Pragmatic Engineer).

Fast built the operational structure, the headcount, the layers, the engineering management hierarchy, of a company at meaningful scale. It did this before it had the revenue of a company at any scale. About 450 people lost their jobs and investors lost roughly $120 million (NPR).

The instinct that drives this is understandable. Senior hires feel like de-risking. A real org chart feels like maturity. But structure built ahead of the business isn't maturity, it's weight. And weight is the thing you can least afford when you still need to move.

Over-engineering the process: the quieter version

Quibi and Fast are the spectacular versions. The everyday version is quieter, and it's the one we see most often in businesses between £2M and £15M.

It's the £3M brand running a full EOS implementation, every meeting, every scorecard, every quarterly cadence, when what the business actually needs is to talk to more customers. It's the Series A team that's built a six-stage approval workflow for any spend over £2,000, run by people who could have just asked each other. It's the founder who's hired a Head of Ops to "bring structure" before there's enough complexity for that person to manage, so they spend their first six months inventing process to justify the role.

Bain & Company's research on organisational complexity puts a number on where this leads: excessive layers, processes, and approvals cost large firms more than 15% of their annual profits, and people in many organisations spend a quarter or more of their time on low-value internal activity (Bain & Company). That's the destination. Most small companies think of that as a big-company disease, something that happens later, to other people. It doesn't start later. It starts the first time you install a process the business hasn't earned yet.

Process debt is real, and we've written about it before. But there's a reverse version: process tax. The cost of carrying operational infrastructure your stage doesn't need, the meetings nobody uses the output of, the approvals that only add delay, the systems that take more time to maintain than they save. It doesn't show up as a crisis. It shows up as a business that feels heavier than its size, and moves slower than its competitors, for reasons nobody can quite name.

What to watch for: If you're adding process because the business is in pain right now, that's operational discipline. If you're adding it because the process feels professional, because a competitor has it, or because it might be needed later, that's over-engineering. The tell is simple: ask whether you could name the specific failure this process is preventing. If you can't, you're building for a company you don't have yet.

One distinction worth holding. Business pain isn't the same as individual irritation. The person automating onboarding because they're tired of repeating themselves is solving a personal problem, often by removing the human moment that builds trust at the start of a customer relationship. The test is whether the absence of the process would show up in the business itself, or only on someone's calendar.

The through-line

It's the same principle as everything else we write about business operations, just pointed in the other direction.

Business operations break when the operational response doesn't match the operational reality. Under-build, no reliable data, no scalable process, no operating rhythm, and the business breaks as it grows. That's the common case, and it's why most of our writing argues for more.

But over-build, process, structure, and systems sized for a company three stages ahead, and the business gets too heavy to reach the stage that would have justified the build. Quibi and Fast didn't fail because they lacked operational sophistication. They failed because they had the operational sophistication of companies that didn't exist yet, funded by capital that ran out before reality caught up.

The skill isn't "more process" or "less process." It's matching the build to the stage. A good operator is as willing to tell you not to build something as to build it, because the judgment about what a business doesn't need yet is worth as much as the work of putting in what it does.

Process should be earned by pain, not anticipated by ambition. Install it at the point where the absence of it is actually costing you something, not before. The businesses that get this right look under-structured for a while, and then grow into exactly the operations they need, right when they need them.

Where to start

If your business feels heavier than its size, more meetings than decisions, more process than the team can name a reason for, systems that cost more time than they save, that's worth diagnosing as carefully as the opposite problem.

The Ops Diagnostic takes 10 minutes and it's free. It surfaces where you're under-built, and where you're carrying operational weight your stage doesn't need yet.

→ Take the Ops Diagnostic


At The Ops Engine™, we help growth-stage startups build the operational foundations that turn ambition into smooth, scalable execution. If you're navigating the shift from growth-at-all-costs to sustainable scale, get in touch.

Sources

Farah Cohen
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Eve Sleep. Getir. Allbirds. Three Collapses, One Operations Mistake.