An Assumption Is Not a Finding
A market recommendation can look fully sourced while resting on one point that was assumed because nothing better was available. The assumption is rarely the risk. The false confidence is.
When data is missing, a neutral-sounding guess feels safe. It is actually a claim about the market made without evidence. The honest description of an unresearched input is a range of possibilities, not a single reassuring value.
Structured decision work in other fields shows how often this goes untested. A review cited in recent research estimated that only about 30% of sustainability decision studies checked how far their conclusions depended on their assumptions. It is a different field, but the habit it describes is familiar to anyone who has reviewed a business case. Source: ScienceDirect
This matters because recommendations are read as conclusions, not as chains of inference. If one link is a guess and nobody knows which, the whole case inherits its uncertainty invisibly. The cost arrives later, as a re-plan.
EXECUTIVE LESSON
For every assumption you cannot verify, ask whether the decision would change if it were wrong. If not, the gap is tolerable. If it would, the market has not yet earned its position, and that assumption is your next piece of research.
FRAMEWORK CONNECTION
Tracing each conclusion back to evidence is central to the decision the Market Prioritisation Framework (F01) is designed to structure.
Explore how the Framework 01 - Market Prioritisation supports evidence-led decisions on where to enter first.
