The Shiny Tool Trap: Why SMEs Buy Solutions Before They Understand the Problem

Most business owners do not buy software because they sat down and mapped a problem. They buy it because a competitor mentioned it at a barbecue, or a sales rep was convincing, or the thing kept showing up in their feed until not having it started to feel like falling behind.

That is solution-first thinking. The tool arrives before the problem is even defined. And it is the single most common way SMEs waste money on technology.

Medicine works the other way around. You turn up and describe what hurts. A good doctor does not reach for the prescription pad while you are still talking. They take a history, press on a few things, run a test if they need one, and rule options out until they can name what is actually wrong. The treatment comes last, because it only makes sense once the diagnosis is done. Solution-first buying flips that sequence. It writes the script before anyone has worked out what the patient has.

We fall into it because it feels like progress. Buying a tool is a decision you can make in an afternoon. Diagnosing why your job-to-invoice cycle takes eleven days is slower, less satisfying, more painful, and forces you to look at things you would rather not. So the tool wins. It gives you something to point at. The problem stays exactly where it was, now with a subscription attached.

The bias has a price, and it shows up in the numbers

When you buy solution-first, you buy for the category, not the job. You end up with software that half-solves a problem you never clearly named, sitting next to three other tools doing roughly the same thing. It is the business version of walking into the surgery and asking for a brand-name drug you saw in an ad. You might even walk out with it. That does not make it what you needed.

Gartner estimates that around 25% of the software organisations pay for is underused or over-deployed.¹ A quarter of the spend, doing nothing. That is not a licensing problem. It is a diagnosis problem. Nobody buys a tool intending to leave it idle. They buy it because the purchase felt like the answer, then discover the answer did not fit a question anyone had actually asked.

For a small business, that waste bites harder than it does for an enterprise. When 30% of your software budget is dead weight, you feel it. And the deeper cost is not the money. It is the false sense that the problem has been handled.

The tool was rarely the lever

BCG studied digital transformations across 825 senior executives and dozens of large companies.² They found that 70% of these efforts fall short of their objectives. Not because the technology was bad. The consistent finding was that the people dimension, the operating model, the processes and the culture, is usually what determines whether it works. Get six things right, mostly organisational rather than technical, and the odds of success flip from 30% to 80%.

So the tool sits at the easy end of the problem. The thinking around it, who uses it, how it fits the process, whether the process even made sense to begin with, is what decides the result.

If that holds true for companies with change-management budgets and dedicated programme teams, it holds doubly for a 20-person business bolting a new app onto an already stretched operation. The software is the easy 20%. The problem definition, the process it plugs into, the way your team actually uses it on a Tuesday afternoon, that is the 80% that decides the outcome. Solution-first buying skips straight past it.

Australian SMEs are adopting fast, and often blind

None of this is an argument against technology. The Australian data makes the opposite case, sharply.

MYOB’s most recent Business Monitor, a survey of 1,087 Australian SMEs, found that businesses using AI are growing 2.8 times faster than those that are not.³ More than half of the AI users report saving time. The tools work. That is not in dispute.

But the same research found that around 46% of SMEs have no plans to adopt AI at all over the coming year, and adoption in the regions still trails the cities by a wide margin. So you have a market splitting in two. Some businesses are compounding an advantage. Others are standing still.

The trap sits in the middle of that split. Plenty of businesses in the rush to adopt are doing it solution-first, grabbing tools because the growth numbers are compelling, without asking which specific part of their business the tool is meant to improve or how they will know if it did. Fast adoption without diagnosis is not the same as the 2.8x. It is just spending, faster.

Diagnosis before prescription

The clinical sequence maps almost exactly onto what a business should do before it buys. Symptom, then investigation, then diagnosis, then treatment. In that order, every time.

Start with the symptom, not the cure. Where does it actually hurt? Not “we should be more efficient”, which is the business version of telling the doctor you feel a bit run down. Something specific. “We double-enter every order between the quoting system and the accounts package, and someone loses most of Friday reconciling the two.” That is a presenting complaint. It has a shape, a cost, and a person attached to it.

Then investigate, because a symptom is not a diagnosis. That lost Friday might be the actual problem, or it might be referred pain from something upstream: a quoting step that captures the wrong details, or two systems nobody ever properly connected. Trace it back before you act. Sometimes that means watching the process run a few times. Sometimes it means asking the person who does it where it really falls over. This is the part solution-first skips, and it is the part that matters most.

Only once you have the diagnosis do you prescribe. And sometimes the diagnosis tells you the treatment is not software at all. It is cutting a step, or fixing a handover between two people, or changing who does what. Other times software is exactly right, and now you know precisely what it has to do, which means you will actually be able to tell whether it worked.

Deciding what to look at first is its own kind of triage. A clinic sorts by how serious the problem is, not by which patient is loudest in the waiting room. Same discipline here. Map the parts of the business that feel the most manual, the most dependent on one person, or the most likely to fall over when someone is on leave. Rank them by how much leverage fixing them creates downstream, not by how much they annoy you day to day. The most irritating problem and the most valuable one to fix are often not the same, and solution-first buying almost always chases the loud one.

Work through it in that order and the tool question becomes close to mechanical. Sometimes the answer is a piece of software. Other times it is no purchase at all. Both are wins. The one outcome you have ruled out is the expensive one: writing the prescription first, and finding out later you treated the wrong thing.

Where this leaves you

The instinct to reach for a solution is human, and it is not going away. The businesses that get ahead are not the ones who resist every tool. They are the ones who diagnose before they prescribe: symptom, cause, then cure, before anyone opens a browser tab to go shopping.

If you want a second set of eyes on which problems are worth fixing first, before you buy anything, that is specifically what we do at Encubed Solutions. We are a small, senior team in Australia. We work with SMBs to find the processes worth fixing and build the software or automation that actually fixes them. And if the honest answer is that you do not need new software, we will tell you that too.

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