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Not enough information to tell. A resume score of 70 out of 100 has no universal meaning: one tool may assess whether it can read your file, another may compare your resume with a particular job description, and an employer may use its own configured matching feature. The score is useful only after you know who produced it, what it measures, and what information went into it.
Why 70 out of 100 has no universal meaning
There is no single, standard “ATS score” shared by all applicant tracking systems and resume-checking websites. A bare number does not tell you whether your resume is easy for software to read, matches one role’s requirements, or meets an employer’s screening criteria. It also cannot, by itself, predict whether you will get an interview.
Start with the score provider and its detailed report. A consumer resume scanner’s recommendation describes that scanner’s own scale; it does not automatically describe an employer’s hiring process.
What kind of resume score are you looking at?
| Score type | What it can help you check | What it cannot establish by itself |
|---|---|---|
| Parsing or format compatibility | Whether software appears to extract resume sections and details correctly. | Whether you are qualified, will pass screening, or will be selected. |
| Resume-to-job match rate | Which terms or qualifications in one selected job description may be missing from your resume. | A universal ATS score, a guaranteed interview, or your fit for other jobs. |
| Employer-configured candidate matching | How a particular employer’s enabled feature categorizes an application against its configured criteria. | A scale shared across employers, systems, or third-party scanners. |
Parsing checks whether the system can read your file
Parsing is the extraction of information such as your name, contact details, job titles, employment dates, and skills from a resume. If a system misreads or misses those details, the extracted record may be incomplete even when your experience is relevant.
Greenhouse Support cautions that “Resume parsing is designed to save time, but can make mistakes.” Its support documentation lists potential parsing problems including oversized files, image-only uploads, complex tables or columns, and contact details placed in headers, footers, or text boxes. Review the extracted information rather than treating a parsing result as a judgment of your qualifications. Greenhouse recommends PDF for its MyGreenhouse workflow; that is product-specific guidance, not a file-format rule for every employer or ATS. See Greenhouse’s parsing troubleshooting guidance and its candidate FAQ.
A match rate compares your resume with a particular job
A resume-to-job match score depends on the posting selected and the criteria the tool checks. Jobscan, for example, says its scanner compares a resume with a job description and reports a match rate and missing terms. Its criteria can include hard and soft skills, education when an advanced degree is specified, job title, and other keywords.
Jobscan recommends a 75% match rate or higher on its own scale. That is vendor guidance, not a universal pass mark. Jobscan also explains that its scanner’s match rate is a visualization tool and that the employer’s ATS does not assign that scanner score. Read its explanation of the ATS resume match rate and its guidance on what it considers a good match rate in that context.
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An employer may use its own matching feature
Some employer systems offer optional matching features. Greenhouse documents Talent Matching scores and categories as a feature that an employer must configure; it is separate from basic resume parsing. This shows why it is inaccurate to claim that no employer system ever scores or categorizes candidates. It does not make an employer’s criteria equivalent to a score from a separate resume website, or establish one cutoff for all applicants. Greenhouse describes the feature in its Talent Matching overview.
What to do with an unexplained 70
- Identify the provider. Find the name of the site, service, or employer system that produced the result, then open its detailed report.
- Find the score’s definition. Check whether it evaluates parsing and formatting, matches your resume to a specific job posting, or reflects an employer’s own configured criteria.
- Inspect the evidence behind the number. For a match report, look at the exact skills and requirements it says are missing or weak. For a parsing report, compare the extracted information with your original resume.
- Correct errors and omissions that matter. Fix misread titles, dates, headings, or contact information. Add a relevant qualification only if you genuinely have it, and describe your actual experience.
- Stop when the resume is accurate and clear. Do not keep editing just to reach a round-number target, add keywords you cannot support, or change job titles to influence a score.
- Ask for context if an employer supplied the score. When possible, ask which tool or criteria produced it. Advice from a consumer scanner may not describe the employer’s process.
Does a score of 70 mean your resume will pass the ATS?
No conclusion follows from the number alone. A parsing score, a job-specific match rate, and an employer-configured category measure different things. Even when a tool identifies a weakness worth fixing, its number is not proof of an interview outcome. Interpret the report’s actual findings, and use them to make your application clearer and more accurate—not to optimize for an unknown cutoff.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What information would make the score interpretable?
To assess a specific 70, you need at least the name of the scoring product or employer system and the report’s explanation of the score. If it is a match score, the selected job description matters too. Without those details, the score’s rubric—and therefore whether 70 is good—remains unknown.
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