How HumanVerified.cv works

The process is designed to show what has been checked, what remains uncertain and who actually verified the human.

1. Define the role or candidate goal

We agree what matters, what risk needs reducing, and what evidence is proportionate.

2. Gather evidence

CV, documents, work samples, certification links, structured answers and relevant context are collected only for the agreed purpose.

3. Human review

Technology may help with workflow and consistency. Suitability judgement is not handed to a black box.

4. Produce the evidence pack

The output separates verified, partially verified, candidate-declared, unverified, conflicting and follow-up-required claims.

5. Decide with fewer unknowns

Employers get better evidence before interview. Candidates get fairer representation than a self-certified CV.

Evidence status labels

These labels are used on verification packs and sample outputs. They are not decorative badges; they tell the hiring team what can and cannot be relied on.

Verified

Evidence has been checked against the agreed scope.

Partially verified

Some evidence exists, but the claim is not fully closed.

Candidate-declared

The candidate has stated it, but it has not been independently checked.

Not verified

No suitable evidence has been reviewed yet.

Conflicting evidence

The reviewed evidence does not line up cleanly.

Requires follow-up

The hiring team should probe this before relying on it.

Limitations

Verification reduces uncertainty. It does not guarantee future performance, cultural fit, formal clearance, statutory right-to-work status or the truth of any claim beyond the evidence actually reviewed.

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