Unique intent
The page must answer a distinct user question rather than substitute a title into repeated copy.
Methodology
Resume2Job guidance and review methodology
How the platform and public resources turn user evidence and external role information into reviewable guidance—without pretending to know an employer’s private decisions.
Last reviewed 2026-07-13
1. Start with user-provided evidence
Resume2Job can use information supplied by the user, including roles, responsibilities, achievements, skills, education, credentials, projects, goals, constraints, and progress notes. Generated outputs should stay proportional to that evidence.
Resume parsing and AI interpretation can be incomplete or wrong. Users are expected to review extracted information and every generated claim before using it.
2. Treat job descriptions as one source, not the truth
Job descriptions can be incomplete, inconsistent, duplicated, or aspirational. Comparisons distinguish evidence present in the resume, requirements visible in the job description, constraints supplied by the user, and uncertainty that cannot be resolved from available text.
Resume2Job cannot know an employer’s ATS configuration, recruiter preferences, applicant pool, internal candidates, interview rubric, or hiring decision.
3. Explain scores and recommendations
A score is a structured review aid, not a probability of being hired. Useful output should expose the criteria, supporting evidence, missing information, and actions that could improve readiness.
When evidence is missing, the correct action may be to verify, learn, build proof, skip the role, or accept uncertainty—not to add an unsupported keyword.
4. Public-page review gates
Useful role or decision module
The page must include a framework, evidence prompt, comparison, example, or action that can stand on its own.
Product connection
Claims about Resume2Job must correspond to a live, limited, or clearly labeled beta capability.
Unsupported claims removed
The page must not imply access to employer settings, guaranteed outcomes, or capabilities that have not been verified.
Technical validation
Canonical, robots, title, description, H1, internal links, status codes, and structured data must pass automated checks.
Human editorial review
A reviewed page is checked for clarity, usefulness, duplication, claim support, limitations, and target-user fit.
5. External occupational sources
Career guidance pages link to current primary occupational sources so readers can validate duties, preparation, work context, and labor-market information. External data has its own geography, dates, methodology, and limitations.
- O*NET Resource Center overview ↗
Occupational tasks, worker requirements, skills, interests, work context, and career exploration resources.
- BLS Occupational Outlook Handbook ↗
Occupation duties, typical education, pay, outlook, and related information for the United States.
6. AI assistance and human responsibility
AI may help extract, organize, compare, draft, and revise information. It does not remove the need for human review. Public content is governed by the editorial policy, and users remain responsible for verifying personal claims and consequential decisions.
Report a correction or unsupported claim to support@resume2job.net.