In the Job Fit Score, quantified metrics carry 13% and action verbs 11% — combined, nearly a quarter of the total, and the only slice you can improve tonight without gaining a single new skill. Both axes are computed deterministically from your bullet text, so here is exactly what the engine (and every recruiter skimming the parsed result) is looking for.
13%
of the score: bullets with numbers, %, or $
11%
of the score: strong verbs, no passive voice
24%
combined — fixable tonight, no new skills needed
What counts as quantified
The metrics axis measures the share of your bullets containing a number, a percentage, or a currency amount. Not every bullet needs one — but a resume where almost none have them reads as unverifiable claims. The usual objection is my work isn't measurable. It almost always is, along one of four axes: scale, change, frequency, or money and time.
Unverifiable
“Maintained CI pipeline for the engineering team.”
No way to tell if this was a weekend script or core infrastructure.
Quantified by scale
“Maintained CI for a 14-engineer team, ~90 builds/day.”
Scale makes the same claim checkable — and memorable.
Vague change
“Improved page load speed across the site.”
Improved by how much? From what baseline?
Measured change
“Cut p95 page load from 4.1s to 1.9s across 12 core pages.”
Before/after deltas are the strongest form of evidence.
What the verb axis flags
The action-verb axis rewards bullets that start with a strong verb and penalizes three deterministic patterns:
- Weak openers — Responsible for, Helped with, Worked on, Assisted in. These describe proximity to work, not work.
- Passive voice — was tasked with, were delivered. The subject of your own bullet should be you.
- Duty-copying — bullets lifted from your job description rather than your results.
Weak opener + duty
“Responsible for onboarding new users to the platform.”
Flagged twice: weak opener, and it describes the job, not you.
Verb first + outcome
“Built the onboarding flow used by 2,000 new users/month.”
Swap the opener, keep the truth — verb first, evidence after.
Why this pays double
These are quality axes, so they're relevance-gated — they can't rescue a resume aimed at the wrong job. But on a targeted application, they're the tiebreaker: two candidates with the same keyword coverage can differ by 10+ points purely on quantification and verb strength. Same skills, different evidence.
Run your resume through the free checker — the metrics and verb axes come back with the exact bullets that were flagged, so you know which lines to rewrite first.
Written by
JobFitAI Team
The team building JobFitAI's deterministic scoring engine — nine evidence-anchored axes, a nine-vendor ATS parse simulation, and every point backed by receipts.