A useful match review answers three questions

  1. What is already supported? The resume contains specific evidence for a stated requirement.
  2. What is only partial? A relevant responsibility or skill appears, but the depth, recency, scope, or result is unclear.
  3. What is genuinely missing? The requirement is not supported and should not be claimed unless you have real experience that has not yet been added.
A clear result looks like this:

7 of 9 required qualifications supported, 4 keywords missing, and 2 relevant experiences need stronger evidence.

Why a keyword score is not enough

Exact terminology can help a reader and an applicant tracking system understand relevance, but repetition is not proof. A resume that says “project management” five times may still fail to show the project size, decisions, stakeholders, or result. MyRoleReady encourages the exact language only when it is accurate and ties recommendations to resume evidence.

How to check a resume against a job description

For a worked example you can follow before using AI, read how to tailor your resume to a job description.

  1. Save the job title, company, link, and full description in Target Jobs.
  2. Choose the resume version you plan to use for that application.
  3. Use one of the five AI reviews included in the $19 package and inspect every supported, partial, and missing item.
  4. Use the guided role prompts to recover truthful examples that are missing from the draft.
  5. Save a new version for the job, then proofread and export it.

What the evaluation should never do

It should not invent software, credentials, dates, employers, metrics, or authority. It should not promise that a resume will pass a particular system or earn an interview. AI feedback can miss context, so you remain responsible for checking every statement before submitting the document.

If you are still developing the base content, use a role-specific resume example to brainstorm the evidence employers commonly look for.