The expensive way to enter a market is to plan thoroughly, commit fully, and find out afterwards which assumptions were wrong.
The cheaper way is to identify the assumptions the plan depends on and test the riskiest ones first, at the smallest scale that still produces a real answer.
| Step 1 | list the assumptions the plan rests on |
|---|---|
| Step 2 | rank by how much damage a wrong answer causes |
| Step 3 | design the cheapest honest test |
| Step 4 | decide in advance what result means stop |
Identify the assumptions
Every plan rests on a handful of beliefs that, if wrong, break it. Typically:
- Customers exist in sufficient number
- They will pay the intended price
- You can reach them at an acceptable cost
- You can produce or supply at the assumed cost
- Supply is reliable
- Regulatory requirements are manageable
- Competitors will not respond in a way that removes the opportunity
Write them down explicitly. An assumption that stays implicit cannot be tested, and it is usually the implicit ones that turn out to be wrong.
Rank by consequence, not by likelihood
The instinct is to test what you are least sure about. The better criterion is which wrong answer would do the most damage.
An assumption you are only moderately confident in, but whose failure would merely reduce margin, is less urgent than one you are fairly confident in but whose failure would end the business.
For most market entries the highest-consequence assumption is the same: that enough customers will pay the intended price. Test that first.
Designing an honest test
A test is only useful if it can fail. This sounds obvious and is routinely violated — most informal market testing is designed, unconsciously, to produce encouragement.
Weak tests:
- Asking people whether they would buy — agreeing is free and costs them nothing
- Showing the product to friends and family
- Counting interest, enquiries or social media response
- Giving samples away and observing enthusiasm
Strong tests:
- Actually selling, at the intended price, to strangers
- Taking pre-orders with payment
- A market stall, a pop-up, or one shop for a defined period
- Supplying one institutional customer on a trial basis
- Offering the product and recording how many decline as well as how many buy
The distinguishing feature is simple: a strong test requires the customer to give up something — money, a commitment, a signature. Anything cheaper than that measures politeness rather than demand.
Deciding in advance what failure looks like
This is the discipline that makes the whole exercise worthwhile, and it is the step most often skipped.
Before running the test, write down what result would cause you to stop or change direction.
Without that, results get interpreted after the fact, and human beings are extremely good at explaining away a disappointing outcome — the weather, the location, the wrong week, bad luck. Sometimes those explanations are true, which is exactly what makes them dangerous.
A written threshold set beforehand — a number of units, a conversion rate, a number of committed customers — removes the argument. You are comparing a result against a standard you set when you had no stake in the answer.
It is also worth writing down what result would justify increasing commitment, so that success is acted on rather than merely enjoyed.
Testing in stages
- Test demand — can you sell any at the price, to strangers?
- Test the channel — can you reach customers repeatedly and affordably?
- Test supply — can you deliver consistently at the assumed cost?
- Test scale — does the economics hold at higher volume?
Each stage should be passed before spending on the next. Most failed market entries spent stage-four money on a stage-one assumption — building capacity, signing leases and hiring staff before establishing that anyone would buy.
Stage three deserves emphasis in an island context, given everything covered elsewhere on this site about shipping and lead times: a product that sells well but cannot be resupplied reliably is a business that fails at exactly the moment it succeeds.
What testing cannot tell you
An honest limitation, so the method is not oversold.
A small test measures response now, in one place, to one version of the offer. It does not reliably tell you how competitors will respond, how demand behaves over a full seasonal cycle, or whether early enthusiasm persists.
So testing reduces risk rather than removing it. The purpose is to fail cheaply where failure is likely, and to commit with better information where it is not — which is a considerable improvement over committing on conviction alone.
Frequently asked questions
Which assumption should be tested first?
The one whose failure would do the most damage — usually that enough customers will pay the intended price. Rank by consequence rather than by uncertainty.
What makes a test strong?
It requires the customer to give up something — money, a commitment, a signature. Asking whether people would buy measures politeness, because agreeing costs them nothing.
Why decide the failure threshold in advance?
Because results get explained away afterwards, and the explanations are often plausible. A threshold set before you had a stake in the answer removes the argument.
What is the most common sequencing error?
Spending stage-four money on a stage-one assumption — building capacity, signing leases and hiring before establishing that anyone would buy.
