How SeekrX Scores Jobs
SeekrX gives each job it finds for you two separate scores, Job Fit and Career Value, plus a plain-language apply verdict. All of it is rule-based: fixed rules applied to your Career Vault, the posting and the career direction you set. None of it is a hiring probability, and you can see the factors behind every score.
What you see on each job
- Job Fit, a score out of 100: how well the posting matches your current qualifications.
- Career Value, a score out of 100: how useful the job is for the direction you set.
- A “Should I apply?” verdict: Strong Apply, Apply With Gaps, Stretch or Low Priority, with a one-sentence reason.
- Posting age, such as “Posted 12 days ago.”
The two scores are never combined. For why that matters, see Job Fit vs. Career Value.
What “rule-based” means here
The scores are not an AI model's opinion of a job. They are calculated with fixed rules, so the same posting and the same Career Vault always produce the same numbers. That is what makes it possible to show the working: each score lists its factors, and each factor comes with a short written explanation.
How Job Fit is scored
Job Fit asks how well the posting matches what your Career Vault shows. The factors are:
- How many of the posting's required qualifications your Career Vault supports.
- How many of its preferred qualifications you also bring.
- Whether the seniority of the role matches your background.
- Whether the scope (team or site size) matches what you have held.
- Whether the posting requires a license or certification that your Career Vault does not show. When it does, the score is reduced.
The comparison is based on the wording in the posting and in your Career Vault. A skill you have but describe in very different words may not register as a match, which is one reason to keep your Career Vault specific.
How Career Value is scored
Career Value asks how useful the job is for the direction you set, using the destination role and industry you chose and your current role. The factors are:
- How closely the job's industry lines up with your destination.
- How close the job title is to your destination role.
- Whether the job closes a specific gap between where you are and where you want to go.
- How the job compares to your current role in pay and seniority, where the posting gives enough to tell.
Career Value is measured against your goal, not against market data. If you change your goal, the scores change with it.
How the apply verdict works
The verdict sorts each match into one of four plain categories and gives a one-sentence reason plus up to three supporting facts. It uses the scores, the type of move the job represents, and the age of the posting. It is a fixed set of rules, not a separate score. The full rules are in Should I apply for this job?.
Every verdict carries this line: “A guide based on your Career Vault, not a prediction of any hiring decision.”
How posting age is handled
Each opportunity shows how long ago the posting went up, or “Posted date not listed” when the source did not provide one. SeekrX currently adds a note to a posting that is 30 or more days old, suggesting you confirm on the employer's site that it is still accepting applications.
Age is the only thing SeekrX goes on. It does not check whether a job is open, and it does not label postings as fake. As current product logic, SeekrX does not match new scans to postings older than 45 days, and treats a match that passes that age as Low Priority. These are SeekrX's own rules, not findings about the job market. A missing posting date never counts against a job.
What the scores cannot tell you
- Whether you will be hired. The scores do not know who else applied, whether the employer has someone in mind, or how the hiring team will decide.
- Anything missing from your Career Vault. If real experience is not in it, it cannot count.
- Anything the posting leaves out. When a posting lists no specific requirements, SeekrX says so rather than guessing, and has less to compare. When it leaves out details such as industry or seniority, those parts of the score are treated as neutral.
- Whether a job is still open. Posting age is a hint, not a check.
Because the scores are rule-based, they can be wrong in ways a person would not be. Treat them as a way to sort a long list and see the reasoning, then use your own judgment on the ones that matter.
Where to see the factors
On any opportunity in SeekrX, open “See how these scores were calculated” to see every factor and its explanation. Already a member? Open your opportunities.
See the reasoning on your own matches
SeekrX shows the factors behind every score, so you can check the work instead of trusting a number.
Try SeekrXNot sure which direction to aim for? Try the free career roadmap (no account needed).
Frequently asked questions
Are SeekrX scores generated by AI?
No. Job Fit, Career Value and the apply verdict come from fixed rules applied to your Career Vault, the posting and the career direction you set. The same inputs give the same result.
Is Job Fit the chance that I will get the job?
No. It describes how well the posting lines up with your Career Vault. It does not know who else applied or how the employer will decide, so it cannot predict a hiring decision.
What happens when a posting is missing information?
SeekrX says so instead of guessing. If a posting lists no specific requirements, the opportunity page tells you there is nothing to compare line by line. Parts of a score that depend on missing information are treated as neutral, not counted for or against the job.
Does SeekrX tell me whether a job is still open?
No. SeekrX shows how long ago a posting went up, and adds a note to older postings suggesting you confirm on the employer's site that it is still accepting applications. It does not check whether a job is open.
Can I change my Job Fit score?
The score reflects what is in your Career Vault. If you have real experience, skills or credentials that are missing from it, adding them can change how a posting matches. SeekrX will not claim a credential you do not hold.
Why does SeekrX use rules instead of a model?
Rules mean you can see exactly why a job scored the way it did. Every score comes with its factors, so you can disagree with a specific part of it instead of having to trust an opaque number.