Methodology

Why Resumeva

This is not a marketing page. It's the engineering philosophy behind every score, rewrite, and integration we ship.

Most resume tools are built like slot machines: paste something in, get a number back, hope for the best. Resumeva is built the opposite way. Every number is derived from a rule you can read; every AI change is bounded by facts you supplied; every version is a subset of a master you own. Below is how, and why.

Evidence-based scoring

Every score Resumeva shows — ATS score, Job Match score, section grades — is computed from observable features of your resume and the target job description. No opaque 'AI vibes' number that changes if you refresh the page. If a score drops by 8 points, we can point to exactly which change caused it.

Deterministic ATS engine

The ATS engine is rules-based, not a language model. Parseability, section detection, format compliance, and keyword coverage are all computed by deterministic logic. This means the same resume produces the same score every time, and every deduction has a named rule you can click through to read.

Explainable Job Match

Job Match separates required from preferred requirements (per the JD's own language), maps each requirement to bullets in your resume that address it, and lists the ones that are unaddressed. You see the mapping, not just a percentage. When we say a keyword is 'intentionally ignored', we tell you why — usually because it's a generic term (e.g. 'strong communicator') that inflates scores without predicting fit.

Truthfulness Guard

The AI rewrites are gated. Before a proposed rewrite is shown to you, it is compared against your master resume. If it introduces a new tool, skill, metric, employer, or role that isn't already in your source data, the rewrite is rejected. You cannot accidentally embellish, and neither can the model.

Resume Integrity

Resume Integrity is the same principle applied end-to-end: dates must reconcile, employer names stay consistent across versions, and metrics you enter once are not silently rewritten by later tailoring. Every version is a subset of your master, never an addition.

Safe AI

Where the AI is helpful — bullet rewrites, summary drafts, keyword suggestions — it operates on your existing content, cites what it changed and why, and lets you accept or reject each change individually. Nothing is auto-applied. No suggestion is un-reviewable.

Privacy

Your resume, job descriptions, and tracked applications are private to your account. We do not sell your resume to recruiters. We do not run a shadow ATS on your behalf. We do not use your resume content to train third-party AI models.

Version history & transparency

Every tailored resume is saved as a version, with a diff against the previous version and the master. You can revert any change, at any granularity — a word, a bullet, a section, the whole version. The history is yours; we don't hide it behind a paywall.

What Resumeva refuses to do

These are policy, not settings. There is no toggle to disable them:

New employers

The AI cannot add companies you didn't work at, even to 'fill a gap'.

Unverified metrics

'Increased revenue 40%' isn't added unless you supplied the number.

Tools you haven't used

Adding 'Kubernetes' to make you match a JD is a policy violation, not a feature.

Credentials you don't hold

Certifications, degrees, and clearances are never auto-added.

Why refuse? Because embellishment is a lagging risk. It gets you the interview; it costs you the reference check, the offer, or the job six months in. Every well-known reporting body that tracks resume fraud (SHRM's periodic surveys, ADP's background-check research, HireRight's annual benchmark) finds material misrepresentation at rates high enough to make employers cautious. A tool that lowers the friction of embellishment is not doing you a favor.

How this shows up in the product

  • ATS Checker — each deduction cites the rule; hover the score to see it. Try it.
  • Job Match — required vs preferred split, per-requirement mapping, and a list of intentionally-ignored keywords with reasons. Try it.
  • Resume Tailoring — every proposed rewrite cites the master bullet it's rewriting and the JD requirement it's addressing. Learn more.
  • Job Tracker — immutable applied-at date, linked resume version per application, so you can honestly compare which versions convert. Open.

Start with the engine, not the pitch

The fastest way to understand Resumeva is to run a real resume through it and read the explanations.