Transparent methodology

How NextResume matching works

The workflow separates job requirements, career evidence, missing proof, and final wording so you can inspect how a tailored resume was assembled.

Step 1

Extract job requirements

The workflow turns the job description into structured role facts, including responsibilities, skills, technologies, and recurring keywords.

Step 2

Map career evidence

Each requirement is compared with the imported master resume. The evidence map records which experience supports the requirement and where the support came from.

Step 3

Surface unsupported gaps

Requirements without enough evidence remain visible. The workflow can ask a targeted question, but the user decides whether a factual answer exists.

Step 4

Build a reviewable draft

Supported evidence is organised into a job-specific resume draft. The user can edit the wording before exporting PDF or DOCX.

Heuristic score

What keyword coverage measures

The current score is calculated as matched extracted terms ÷ total extracted terms, rounded to a percentage. A term counts as matched when it appears in the current normalised resume draft.

Use the score as a checklist: inspect missing terms, decide whether you have truthful supporting evidence, and avoid adding a keyword only because the percentage changes.
Format checks

What the output is designed for

  • Readable, single-column resume structure
  • Standard section headings and bullet formatting
  • PDF and DOCX export for application workflows
  • User review before the final document is submitted
Limits

What the checks do not prove

  • The methodology does not simulate every employer ATS or recruiter configuration.
  • The methodology does not guarantee an interview, ranking, response, or job offer.
  • The methodology does not prove that an unsupported claim is true.
  • The methodology does not replace your final factual and editorial review.
See it in context

Follow the workflow through a complete example

Review the inputs, evidence map, missing proof, tailored bullet, and score boundary.

View the worked example