Approach
How we prepare and review your deliverables.
Before programming begins, we agree the question, methods and review criteria. Each delivery includes the outputs, supporting code or specifications, checks performed and unresolved issues within the agreed scope.
Frame the decision
Define the scientific or operational question, intended use, unit of analysis, inputs, assumptions and accountable decision owner.
Build reproducibly
Separate data intake, transformations, modelling and reporting so that evidence can be rerun, inspected and handed over.
Review and quality control.
We define checks around risk and intended use, document findings and follow their resolution. Where scope requires independent review, separation of duties and the responsible reviewer are agreed before work starts.
Deliver for scrutiny
Package methods, code, assumptions, findings and open decisions so another qualified reviewer can understand the analytical chain.
Use automation and AI within defined boundaries
Automate repeatable work where it improves consistency. Keep human review, data permissions and responsibility explicit.
Working model
Scope the decision before the delivery.
Every engagement starts with the intended use, available evidence, constraints, responsibilities and data boundary.