Editorial Standards
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01TraceableMaterial claims should connect to sources or stated calculations.
02DefinedMetrics, periods, currencies, and scenarios need context.
03DisclosedOwn products, sponsorships, and affiliate interests are labeled.
04CorrectableCredible challenges are investigated and material fixes recorded.
Editorial standards
The reader should be able to separate evidence, judgment, examples, and sales.
These standards govern how Financial Models Lab plans, writes, reviews, labels, updates, and corrects editorial content—and how we disclose our interest when our own products appear.
Our editorial promise: commercial relevance may influence which useful topics we cover; it must not convert an estimate into a fact, erase a material limitation, or substitute our own product page for independent evidence.
Accuracy
Support the claim actually written
A related source is not enough; evidence must match the definition, geography, period, and conclusion.
Clarity
Label facts, estimates, and examples
Readers should not have to guess whether a number is observed, derived, forecast, or illustrative.
Independence
Do not hide the product relationship
We sell planning products; content that references them should say so where the relationship matters.
Accountability
Dates and correction paths
Material content should carry a review marker and a clear way to report a credible error.
Scope and ownership
A standard for editorial pages—not a claim that every legacy page already meets it.
This policy is proposed for editorial content published or materially updated after Financial Models Lab formally adopts Editorial Standards version 1.0. Legacy pages may be updated progressively and may not yet include the same bylines, citations, disclosures, review dates, or correction notes.
Every covered page should identify a responsible author, editorial team, reviewer, or publisher. If specialist review materially informs the page, the reviewer’s role and relevant expertise should be described. A generic team byline must not imply credentials, interviews, or expert review that did not occur.
Publisher
Financial Models Lab is the publisher of the content and the seller of Financial Models Lab templates and services. Editorial accountability remains with Financial Models Lab even when contractors or tools assist with production.
Core principles
Six rules for useful financial and business content.
01 · Answer first
Give a direct answer, then the conditions.
Readers should see the conclusion quickly, together with the scope, definition, range, or uncertainty that prevents it from becoming misleading.
02 · Evidence before rhetoric
Specific claims need specific support.
We prefer primary sources and traceable calculations. Vivid anecdotes can explain a risk but cannot establish a universal benchmark alone.
03 · No false precision
Use ranges when variation is material.
Costs, prices, margins, and timelines vary. We avoid unnecessary decimals and single-number answers that conceal genuine uncertainty.
04 · Show the downside
Planning content must include constraints.
Capital needs, cash timing, owner labor, regulation, seasonality, failure modes, and implementation difficulty belong in the analysis.
05 · Separate observation from forecast
Historical evidence does not guarantee a future case.
A planning model may use observed inputs, but the resulting scenario remains conditional on the assumptions and relationships chosen.
06 · Write for action, not anxiety
Avoid hype and fear-based conversion.
We do not use unsupported “guaranteed,” “risk-free,” “effortless,” “passive overnight,” or urgency claims to push a financial product.
Editorial workflow
What should happen before a material page is published.
Commission with a clear question
Define search intent, reader decision, content type, required definitions, evidence needs, and any Financial Models Lab product relationship.
Research to the claim level
Build source notes that record the exact claim supported, not only a bibliography of loosely related links.
Draft with labels and limitations
Distinguish source-reported values, derived estimates, planning ranges, example scenarios, editorial judgment, and commercial calls to action.
Fact-check and calculate again
Open cited sources, confirm context and dates, reproduce material arithmetic, check units and definitions, and challenge absolute language.
Review product references separately
Verify format, included files, features, compatibility, price, license, policy, and screenshots against the current product—not another item or an old description.
Publish with accountability markers
Add authorship or team ownership, review date, material disclosures, source links, and a correction route appropriate to the page.
Financial claims
Extra rules for numbers that can change a decision.
Startup costs, earnings, profit, owner income, valuation, break-even, funding needs, and returns can influence real commitments. They require more context than ordinary descriptive copy.
| Claim type | Required context | Common failure to avoid |
|---|---|---|
| Startup cost | Geography, period, included/excluded items, reserve, tax, contingency, and whether financing offsets are shown. | Quoting equipment only while omitting deposits, inventory, permits, runway, and owner living needs. |
| Revenue or sales | Period, gross/net treatment, scale, channel, location, source population, and whether the figure is business or owner level. | Presenting a top operator’s sales as typical owner earnings. |
| Profit or margin | Profit definition, cost classification, owner labor, depreciation, financing, tax, and sample characteristics. | Mixing gross margin with net profit or omitting owner compensation. |
| Break-even | Contribution basis, fixed-cost scope, price/volume assumptions, time period, and cash-versus-accounting distinction. | Calling accounting break-even positive cash flow. |
| Forecast or valuation | Assumptions, method, scenario date, sensitivity, terminal value where relevant, and professional-review boundary. | Presenting a model output as an objective present fact. |
Our detailed metric and source rules are described in How We Research Businesses.
Commercial interests
We sell products. The page should tell you when that matters.
Financial Models Lab articles may recommend or link to Financial Models Lab financial models, business plans, calculators, custom services, or related products. A relevant disclosure should appear near the recommendation or call to action—not only on this policy page.
Own-product rules
- Identify the product relationship
- Verify claims against the current delivered product
- State material compatibility or scope limits
- Do not use own marketing copy as industry evidence
- Keep the educational answer useful without a purchase
Advertising, affiliate, and sponsored rules
- Clearly label paid or sponsored material
- Disclose commission-earning links near their use
- Do not let payment determine a factual conclusion
- Do not style advertising as independent editorial evidence
- Decline arrangements that require favorable coverage
If no sponsorship or affiliate relationship exists, the page should not imply one. If such a relationship begins later, the disclosure must be added when the content or link is updated.
AI-assisted work
Automation may assist production; it is never the authority for a claim.
Financial Models Lab may use software, scripts, spreadsheets, language models, or other automated tools to help organize research, transform structured data, draft outlines, test calculations, check consistency, or format content.
Permitted with review
- Brainstorming and outline support
- Summarizing source notes already collected
- Formatting and structured-data transformation
- Arithmetic, code, and consistency checks
- Drafting copy that is then verified and edited
Not permitted as final authority
- Citing an AI output as evidence
- Inventing sources, quotes, credentials, or interviews
- Publishing unverified financial or legal claims
- Using confidential customer data outside approved tools, permissions, and data-handling terms
- Shifting accountability from the publisher to a tool
Human editorial responsibility remains with Financial Models Lab. If AI assistance materially affects a page in a way a reasonable reader would need to understand, the page should disclose that use.
Draft transparency
This trust-page package was prepared with AI assistance under human direction. Its claims, policies, and implementation require human verification and approval before publication.
Updates and corrections
Dates should reflect real work, not cosmetic refreshes.
Review triggers
Change matters more than a fixed calendar.
New official data, regulatory change, broken primary sources, product changes, credible corrections, and material market movement can trigger review.
Date integrity
Do not change the date for punctuation.
A “reviewed” or “updated” date should indicate a substantive check of the claims, sources, calculations, or product details that matter.
Correction record
Material changes deserve a note.
When practical, a correction that changes a central number, conclusion, method, or disclosure should state what changed and when.
Report an issue
Send the page URL, exact claim, explanation, and supporting evidence through the contact page. Credible challenges should be reviewed; disagreement alone does not require a change.
Publication limits
What these standards do not promise.
- That every legacy page has already been re-reviewed under version 1.0.
- That a source remains current after the displayed access or review date.
- That an estimate applies to your location, scale, skills, financing, or operating choices.
- That editorial review replaces accounting, legal, tax, investment, lending, or other professional advice.
- That an absence of detected error means a page is complete or error-free.
See the full Disclaimer and the applicable Terms of Service.
Responsible publisher: Financial Models Lab · Editorial Standards draft version 1.0 · Prepared August 2, 2026 · Effective only after internal approval.
Method behind the standard
See how claims become sources, calculations, and ranges.
The research methodology adds the definitions, evidence hierarchy, normalization rules, and confidence framework behind these editorial commitments.