Editorial standards and evidence

Evidence hierarchy

For regulatory, legal-rule, insurer, government-program and lender-policy statements, HopeWell prefers primary sources such as legislation, regulators, government agencies, mortgage insurers and the lender's own published material. Secondary commentary can provide context but should not silently replace a more authoritative primary source.

A source can be authoritative and still become stale. Governed sources therefore carry verification dates and internal re-verification schedules, with faster review for lender, insurer and policy-sensitive material than for durable explanatory material.

Review is risk-based, not cosmetic

• Critical and high-risk content is reviewed more frequently than durable educational content.
• A substantive review date changes only after factual review; a deployment, formatting edit or spelling correction does not create artificial freshness.
• Internal next-review dates, risk classes and overdue status are governance controls. They are not displayed as large badges on every public page.
• Material policy changes can trigger review before the scheduled date.

Research, calculations and lender-specific statements

Research should separate observed data, assumptions, scenario analysis and editorial judgment. Forecasts are presented as uncertain scenarios rather than promises about future rates or market outcomes.

Calculators are deterministic educational models with governed rules and assumptions. They are not mortgage approvals. Where a calculation depends on changing law, insurer rules, lender policy or a fact not known with confidence, the system should identify the dependency rather than invent a value.

A lender-specific statement should be supported by appropriate evidence and should not be generalized into a universal industry rule when the evidence only establishes one lender's practice.

Cases, corrections and anonymization

Published Funding Intelligence and case studies are educational evidence, not testimonials and not proof that another borrower will receive the same result. Direct identifiers are removed before public use, and institutional records can carry privacy review, lineage and confidentiality controls.

Material factual errors are corrected transparently. The corrections framework distinguishes substantive factual revisions from routine editorial changes and preserves revision or correction records where they materially affect interpretation.

Human accountability

Machine-readable governance assists retrieval, freshness checks and review queues; it does not transfer editorial responsibility to an AI system. Content that requires licensed judgment, current lender confirmation, legal advice, tax advice or another professional conclusion must be escalated to the appropriate human professional.