Quantitative consulting service
Get an independent statistical review before you trust the result
Independently review a plan, dataset, script, output, draft result, or AI-assisted workflow before relying on it.
Question→Design→Data→Model→Diagnostics→Interpretation
When this support is useful
When an advisor, reviewer, stakeholder, or your own quality check raises doubts about the analysis.
- Does the model answer the stated question?
- Are assumptions and missingness handled?
- Can the result be reproduced and interpreted safely?
How the decision is approached
The workflow starts with the research question and data-generating structure. Methods and software follow from that logic, with assumptions, alternatives, and failure modes recorded before conclusions are polished.
- Question-to-output consistency audit
- Code and diagnostic review
- Sensitivity and reproducibility checks
What a defensible handover can include
Deliverables are agreed to fit the decision and the people who must review or continue the work. They are not a fixed bundle of software output.
- Priority findings
- Revised decision path
- Limitations and action memo
Start with the decision
Discuss this statistical decision
Bring the research question, design, or existing output. A first review can identify the next statistical decision and the information needed to scope it.