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Methodology

How your match score is calculated

No black box, no AI guessing your fit. The score is computed the same way every time from the same real data - here's exactly what goes into it.

It's deterministic, not AI-generated

Your match score comes from a fixed calculation, not a language model's opinion. The same profile compared against the same occupation always produces the same score. AI is only used earlier in the process, to read a resume and pull out plain facts (job titles, dates, skills) - never to judge how well you fit a role.

Three components, weighted equally

The overall score is the average of three parts:

  • Skills - which of the skills real workers in that occupation report using are already on your profile, weighted toward the skills that are unusually important for that specific role rather than just common across every job.
  • Education- how your education level compares to what's typical for that occupation's preparation level.
  • Experience - how your years of experience compare to that same typical preparation level.

What "importance" means for a skill gap

Every skill gap we show is labeled by how important that skill is for the role, based on real O*NET survey data. Worth being precise about what that rating is not: O*NET rates how important a skill generally is to an occupation, on a scale, for every skill on every occupation - it doesn't mark any skill as strictly "required" versus "optional." So we label gaps as more or less important rather than claiming a hard requirement we can't actually back up. Employer-specific requirements (a particular company's hiring bar) aren't part of this data at all.

What the score is - and isn't

The score is a directional estimate of how your background lines up with an occupation's typical requirements. It is nota prediction of whether you'd be hired, and it can't account for things outside the data - a specific employer's preferences, your interview performance, or local hiring conditions. Treat it as a starting point for figuring out what to work on next, not a verdict.

Where the underlying data comes from

Occupation, skill, and job-preparation data comes from O*NET OnLine, maintained by the U.S. Department of Labor. Wage and outlook figures come from the Bureau of Labor Statistics. This is national data, not local - actual pay and demand can vary by region. See data sources for the full breakdown, including current data vintages and known limitations.

See a specific score that seems off, or a skill gap that doesn't make sense for your background? Let us know - the goal is an honest picture, not just a satisfying number.