Scientific Model for Business
The Scientific Model for Business runs the scientific method on a business claim - observe, hypothesise, test, measure, iterate - so you find out cheaply whether a belief is true before you spend on it.
Arrows loop back on themselves, carrying a claim from hunch through test to measured result and round again.
Reach for this when…
- A decision is about to be made on 'everyone knows' rather than evidence.
- You keep debating an assumption nobody has actually tested.
- You're about to commit serious budget to something still unproven.
How to run it
- Observe: state plainly what is actually happening, not your theory about it.
- Hypothesise: write the simplest explanation you can test.
- Test: design the cheapest experiment that would prove or disprove it.
- Measure: decide in advance what data counts as a result.
- Iterate: refine the hypothesis and run again.
A worked example
Situation. Carmen Ruiz ran Costa Botanica, a small skincare manufacturer in Valencia, Spain, and her team was convinced a slow-selling face oil was failing on price.
Applied. She ran it as a hypothesis instead of a fact. She observed the actual sales data, hypothesised it was shelf placement rather than price, and tested it with a two-week relocation in three stores before touching the price tag.
Result. Sales in the relocated stores rose without any price change. She'd nearly discounted a product that didn't have a price problem at all.
The catch
This is the scientific method borrowed wholesale, and business rarely gives you a clean control group or repeatable conditions - one good result from a small test can be noise, not signal. It's also slower than gut instinct, which is exactly the point and exactly why people skip it under pressure.
If your test can only produce the answer you already believe, it isn't a test.