Experiments are constrained on purpose
An experiment cannot start without a baseline, a target metric and success criteria, and only a small number can run at once. Focus is enforced, not encouraged.
Turn assumptions into evidence.
Strategic uncertainty is normal. Leaving it undeclared is not. VISION separates what the business knows from what it is still assuming, and makes the assumptions testable.
From assumption to strategy update
- 01
Assumption
Something believed but unproven.
- 02
Hypothesis
Stated so it can be wrong.
- 03
Experiment
A defined test with a baseline and a target.
- 04
Success criteria
Agreed before the test runs.
- 05
Result
What actually happened.
- 06
Evidence
Recorded with source and verification basis.
- 07
Assessment
Strength bounded by deterministic rules.
- 08
Learning
Accept, reject or revise.
- 09
Strategy update
The next decision inherits the outcome.
Evidence has a ceiling
A self-reported signal cannot be recorded as strong proof. Fixed rules cap how far any single piece of evidence can move a claim — and neither the AI nor a user can override them.
Validation is not only for startups
Established businesses validate too: new markets, new products, pricing, customer segments, acquisition channels, offers and growth strategies.
What tends to get tested
New markets
Does the demand pattern repeat somewhere else?
Pricing
What does the market accept, and at what cost to conversion?
Customer segments
Which segment converts and stays?
Channels
Which route to market actually produces revenue?