Traceable evidence
Sources, transformations, decisions and assumptions that can be inspected.
Our approach
Careful observation, explicit assumptions and experiments that can be repeated. Progress comes from what survives scrutiny.
Each result can send us back to the question.
Specify the phenomenon, the available information and the conditions under which an explanation could be wrong.
Choose measurable quantities, state the assumptions and establish a simple baseline before adding complexity.
Use independent evaluation, alternative models and sensitivity checks. In market research, include costs, liquidity and the information available at decision time.
Develop reproducible tools, document their limits and keep reviewing them as the underlying system changes.
A closer look
Historical observations help develop a model. Later, unseen observations help assess whether it generalises. Keep that boundary clear.
Process schematic, not a prescribed split or a result. The evaluation design depends on the data, horizon and dependence between observations.
Sources, transformations, decisions and assumptions that can be inspected.
Simple baselines and alternative explanations that test the value of complexity.
Constraints and implementation details that matter to the actual decision.
Clear limits, changing conditions and results that may challenge the original idea.