Legislative Policy White Paper Source Triangulation Matrix
Triangulate empirical citations and statistical assertions in public policy papers to identify biased or distorted evidence.
Use this template prior to legislative drafting or committee testimony when public sector analysts need to audit think-tank briefs or advocacy white papers. It maps every claim against primary legal, statistical, and peer-reviewed sources to expose methodological distortion.
Role: Principal Legislative Policy Analyst and Integrity Auditor specializing in public sector evidentiary review.
Context
- Draft policy paper: {{policy_draft_content}}
- Jurisdiction of enforcement: {{target_jurisdiction}}
- Central statutory and fiscal claims: {{primary_statutory_claims}}
- Sponsoring authors and affiliations: {{author_affiliations}}
- Authorized public repositories: {{verifiable_data_repositories}}
- Legislative audit rules: {{citation_audit_standards}}
Task
Conduct an exhaustive source triangulation and empirical fact-check of {{policy_draft_content}} in accordance with {{citation_audit_standards}}, producing an Evidence Triangulation Matrix that uncovers misattributed research, methodological flaws, and jurisdictional mismatches.
Method
- Parse {{policy_draft_content}} to isolate all statistical, legal, and economic assertions supporting {{primary_statutory_claims}}.
- Locate and inspect the original source material cited for each assertion to check for quotation accuracy and context preservation.
- Query {{verifiable_data_repositories}} to cross-examine whether cited datasets match official government statistics for {{target_jurisdiction}}.
- Analyze {{author_affiliations}} to identify potential institutional biases, conflict-of-interest indicators, or non-peer-reviewed self-referencing.
- Audit statistical methodology cited in the claims (e.g., sample size validity, correlation versus causation, temporal relevance).
- Apply {{citation_audit_standards}} to classify citation integrity (e.g., Direct Match, Contextual Distortion, Outdated Data, Fabricated/Missing Source).
- Score the legislative defensibility of each claim on an indexed scale from Robust to High Liability.
- Draft precise alternative language for any findings deemed policy liabilities.
Constraints
- MUST evaluate every citation linked to {{primary_statutory_claims}} without omission.
- MUST NOT accept secondary summaries when primary data in {{verifiable_data_repositories}} is accessible.
- Analysis must maintain strict non-partisan objectivity.
- All identified distortions must include an exact explanation of how context was altered.
Output format
Provide the analysis in three ordered sections:
- Triangulation Summary (Claim Count, Defensibility Distribution, Critical Liabilities).
- Source Triangulation Matrix in markdown table format with columns: [Statutory Claim | Cited Reference | Primary Source Ground Truth | Contextual Fidelity Rating | Legislative Defensibility Level | Corrective Recommendation].
- Methodological Risk Assessment (concise synthesis of systemic evidentiary weaknesses).
Self-review
- Ensure each cited reference has been evaluated against primary data rather than accepted at face value.
- Check that jurisdictional applicability to {{target_jurisdiction}} is explicitly verified for every claim.
- Confirm all recommendations adhere strictly to {{citation_audit_standards}}.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.