Step 1: verify the feature before interpreting it
Record the exact current feature, product version, eligible plan, geography, setup, exclusions, and primary source. Test or inspect it only when authorized and safe. A feature copied from old sales material cannot support a new benefit. Keep observed behavior separate from intended behavior and note unresolved discrepancies.
The claim record begins with date, owner, source, and correction trigger. If the feature depends on another product, paid tier, expertise, or configuration, make that prerequisite visible. Do not proceed to an outcome claim while the underlying fact remains uncertain.
Evidence: U.S. Federal Trade Commission
Step 2: write the user mechanism
Explain how the feature could change a user task. Identify user, starting condition, action, immediate change, and competing explanation. Mechanism is analysis, not outcome evidence. For example, automation may reduce a manual step, but it does not by itself prove time saved, fewer errors, or improved revenue.
Use the mechanism to find missing evidence and boundary cases. If expert setup or unusually clean data is necessary, that belongs in the claim context. FTC substantiation policy makes claim meaning and reasonable basis central; preserve the distinction between plausible theory and demonstrated result.
Evidence: U.S. Federal Trade Commission; U.S. Federal Trade Commission
Step 3: choose the narrowest useful outcome
Select an outcome the evidence actually measures. State population, comparison, duration, and unit. Avoid upgrading a possible result into a typical expectation. If evidence supports task reduction under controlled conditions, do not convert it into guaranteed productivity across all users.
Health-related or other consequential outcomes require especially careful specialist review. FTC health-products guidance is scoped to health claims and illustrates why evidence type, quality, and claim fit matter. This process is not legal, medical, or scientific advice.
Evidence: U.S. Federal Trade Commission; U.S. Federal Trade Commission
Step 4 and 5: map evidence and typicality
Create a claim-to-evidence table with study or source, design, population, product version, outcome, comparison, duration, result distribution, limitations, and funding or relationship. Mark direct support, indirect support, contradiction, or gap. One compelling case does not establish what ordinary users should expect.
Choose wording only after mapping evidence. State material conditions near the benefit. If typicality is unknown, avoid typical language and exceptional imagery. Preserve null or unfavorable evidence. A claim review should be able to explain why the selected strength is lower than the most promotional possible sentence.
Population matches.
Outcome matches.
Product version matches.
Conditions visible.
Contrary evidence retained.
Evidence: U.S. Federal Trade Commission; OECD
Step 6: design disclosure and reader interpretation
FTC digital disclosure guidance supports testing clarity, prominence, proximity, and presentation across devices and formats. Write the main claim so it is supportable before adding a disclosure. Then disclose material limits and relationships before or with the decision. Avoid vague symbols, hidden hover text, or qualifiers separated by scrolling.
Ask reviewers to paraphrase the overall message and expected result without prompting. Compare intended and strongest plausible interpretations. If several readers understand certainty or typicality beyond the evidence, revise headline, image, sequence, and disclosure together. Do not treat a footnote as a universal repair.
Evidence: U.S. Federal Trade Commission; OECD
Step 7: approve, publish, and monitor change
Require dated approval from the evidence owner, editorial reviewer, and qualified legal or domain reviewer when risk warrants. Store final claim, placement, evidence, disclosure, affected assets, and next review. Publish only the approved version. Search downstream email, affiliate, video, and social variants for stronger paraphrases.
Set event triggers for product, evidence, price, terms, audience, format, and jurisdiction changes. Correct or withdraw material claims and notify affected owners. This seven-step workflow is educational synthesis, not a TenMultigure advertising result or compliance determination. Recheck by 2027-02-10.
Evidence: U.S. Federal Trade Commission; U.S. Federal Trade Commission
Sources and further reading
These references informed this article. A source supports a claim; it does not imply endorsement of TenMultigure or any future product reference.
- FTC Policy Statement Regarding Advertising SubstantiationU.S. Federal Trade Commission · Accessed August 10, 2026
Provides the official United States substantiation framework used throughout the workflow to connect objective claims with an appropriate prepublication basis.
- Health Products Compliance GuidanceU.S. Federal Trade Commission · Accessed August 10, 2026
Provides scoped health-products guidance used in the consequential-outcome step to illustrate claim-specific scientific and specialist review needs.
- .com Disclosures: How to Make Effective Disclosures in Digital AdvertisingU.S. Federal Trade Commission · Accessed August 10, 2026
Provides official digital-disclosure guidance used for proximity, prominence, device, and overall-message review before publishing the bounded benefit.
- Dark commercial patternsOECD · Accessed August 10, 2026
Adds independent dark-pattern context used in the reader-interpretation and choice-pressure checks without replacing jurisdiction-specific legal advice.
Reviewed by TenMultigure Editorial Team. See an error or a source that has changed? Tell the editorial team.
Review method: AI-assisted desk research with editorial checks. Reviewed ; next scheduled review . Converted TM-252 into a seven-step feature-to-benefit workflow with mechanism separation, evidence and typicality mapping, overall-message testing, dated approval, downstream control, and legal boundaries.