Beyond keyword matching: see how your experience level, skills depth, qualifications, and career trajectory align with what the job actually requires. Get a detailed fit analysis, not just a percentage.
The match analysis evaluates four dimensions of fit. Each dimension contributes to the overall score, but they are also reported separately so you can see where you are strong and where gaps exist.
Which required and preferred skills from the posting appear in your resume, and in what context. A skill mentioned in a work experience bullet ("Deployed Kubernetes clusters for production workloads") scores higher than the same skill in a bare skills list ("Kubernetes"). The analysis also considers skill adjacency: if you list Docker and container orchestration but not Kubernetes specifically, that partial match is noted.
Whether your years of experience and the seniority implied by your job titles match what the posting asks for. A "Senior" title on your resume paired with a "Junior" role posting flags a potential mismatch. Years of experience are estimated from employment dates in your resume and compared against the posting's stated requirements.
Education requirements, certifications, and credential matches. If the posting requires a specific degree or certification, the analysis checks for it. It also distinguishes between "required" and "preferred" qualifications based on the posting's language. A missing preferred qualification is flagged differently from a missing required one.
Whether your career progression suggests a natural path toward the target role. A product manager role is a logical next step for someone with a background in product analysis and UX research. It is a less obvious fit for someone whose last three roles were in accounting. The analysis looks at role titles, industry consistency, and progression patterns.
A match score is an approximation. It cannot capture everything a hiring manager considers when evaluating candidates. Several factors are invisible to any automated analysis.
"Led a team of 50 engineers" and "Managed engineering team" both contain similar keywords but represent very different levels of experience. The match score can detect whether "team leadership" is mentioned. It cannot reliably assess the scale or impact of that leadership from resume text alone.
A hiring manager reads "Software Engineer at Google" and "Software Engineer at a 5-person startup" very differently, even if the resume content is similar. Automated matching cannot fully account for this kind of contextual signal. The match score treats both experiences equivalently when checking skills and qualifications.
Whether you would thrive in the company's environment is not something a resume analysis can determine. Some companies value startup experience. Others prefer candidates from structured corporate environments. The match score addresses qualifications and skills, not cultural alignment.
How to use the score: Treat the match score as a diagnostic tool, not a verdict. A score of 75% does not mean you have a 75% chance of getting the job. It means your resume currently demonstrates 75% of what the posting asks for in terms of skills, experience, and qualifications. The remaining 25% represents either genuine gaps or experience you have but haven't expressed in resume terms. The suggestions will help you distinguish between the two.
Ajusta offers several analysis perspectives. Here is when each one is most useful.
Use when you want to understand overall fit for a role. Best for deciding whether to invest time in a full application or for identifying which aspects of your background to emphasize.
An ATS score measures whether your resume will pass automated filters: keywords present, format parseable, sections detectable. A job match score goes further. It evaluates how well your background aligns with the role's requirements: experience level, skills depth, career trajectory, and qualification fit. You can have a high ATS score (resume passes filters) but a low match score (you're not a strong fit for the role).
It can inform that decision, but it should not be the sole factor. A match score of 40% might mean you lack specific technical skills the role requires, or it might mean your resume does not express relevant experience using the posting's terminology. The score identifies gaps. Whether those gaps are real or just presentation issues is something you need to assess yourself.
Career changers typically score lower because their experience uses different terminology than the target role. This does not necessarily mean you're unqualified. It means the match analysis identified terminology and experience gaps between your resume and the posting. The suggestions will show which transferable skills to highlight and which role-specific terms to incorporate.
To a limited degree. If the posting specifies '3-5 years experience' and your resume shows 15 years, the analysis flags this as a potential mismatch. Some employers filter for overqualified candidates just as they filter for underqualified ones. The score reflects this possibility, though overqualification is ultimately a subjective judgment that varies by employer.
Upload your resume and paste a job description. The analysis takes about 30 seconds and breaks down your fit across four dimensions. 200 free credits for new accounts.
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