Make candidate screening more consistent

How to define screening criteria before reviewing CVs

Turn vague hiring-manager requests into explicit requirements and evidence expectations before candidate screening begins.

Define the role

Turn hiring intent into explicit requirements and evidence expectations before candidate review.

How to write candidate screening questions that add evidence

Choose focused application questions that collect necessary role information instead of repeating the CV or demanding vague essays.

How to define screening criteria before reviewing CVs

Turn vague hiring-manager requests into explicit requirements and evidence expectations before candidate screening begins.

Align a job ad with CV screening criteria

Make the promise in a job ad and the evidence used in CV review describe the same role before applications arrive.

Guide with template · 9 min read

From hiring need to a review-ready job brief

Turn hiring-manager input into an editable brief, explicit requirements, and a clear boundary between internal decisions and the public job ad.

Write skills-based job requirements without relying on proxy filters

Replace unnecessary degree, job-title, sector, and years-of-experience filters with capabilities and evidence tied to the work.

Decision guide · 10 min read

Review candidates consistently

Improve CV triage, evidence review, uncertainty handling, and human-controlled candidate decisions.

How to use AI in CV screening without losing human control

Use AI to organise candidate evidence and reduce review work without allowing a hidden score or model output to decide who progresses.

Manufacturing guide · 10 min read

AI CV screening for manufacturing: a human-controlled workflow

A manufacturing example of how SMEs can structure CV evidence, compare candidates against approved role requirements, and keep hiring decisions with people.

Calibration checklist · 9 min read

Align CV screening criteria with a hiring manager in 30 minutes

Run a focused calibration meeting that turns role requirements into shared evidence expectations before reviewers open candidate CVs.

Practical perspective · 8 min read

Missing evidence is not negative evidence in CV screening

A practical model for separating absent information, contradictory evidence, failed analysis, and a genuinely unmet requirement during candidate review.

Turn CV evidence gaps into better interview questions

Use what a CV does not show to prepare focused interview questions without turning missing evidence into a rejection reason.

How to tell candidates where AI supports your recruitment

Give candidates a clear account of where AI assists in recruitment, what people review and decide, and how to ask questions, without implying that decisions are automated.

Write a respectful candidate rejection email after human review

Turn a completed human decision into clear candidate communication without mixing the decision record, internal notes, message, and send record.

Write a clear interview invitation email after human shortlisting

Turn a completed shortlist decision into a precise candidate invitation with reviewed wording, complete schedule details, and a monitored contact for questions or adjustment requests.

How to assess transferable experience when screening CVs

A practical way for recruiters to recognise relevant capability across different job titles without lowering the role's evidence standard.

Measurement checklist · 13 min read

Measure whether CV screening is actually improving

A balanced scorecard and repeatable worksheet for measuring screening outcomes, process, quality, and safety without relying on speed or opaque fit scores.

Troubleshooting checklist · 8 min read

What to do when CV parsing fails or information is incomplete

Use a visible fallback for failed or incomplete CV parsing so reviewers can resolve uncertainty without turning a missing field into a rejection decision.

Document a shortlist decision without hiding behind an AI score

A practical evidence record for explaining why a candidate was progressed, put on hold, or not progressed when AI helps organise CV review.

Vendor checklist · 11 min read

Choose supporting tools

Evaluate recruitment technology by workflow fit, reviewer control, traceability, data handling, and credible claims.

How to evaluate AI recruitment tools before you buy

A practical vendor checklist covering workflow fit, visible evidence, human control, traceability, data handling, and credible regulatory claims.

Pilot checklist · 10 min read

Run a reversible pilot of AI-assisted CV screening

A small, evidence-led pilot plan for testing workflow fit, failure handling, and human control before wider use of AI-assisted CV screening.

Practical guide · 7 min read

Set a practical retention routine after a hiring case closes

A case-closure checklist for deciding what recruitment evidence should remain available, when cleanup should run, and what the product actually removes.

Vendor test kit · 12 min read

Test AI recruitment software with the same synthetic CVs

A free, no-sign-up test kit for comparing AI recruitment vendors on evidence visibility, uncertainty, human control, failure handling, data-handling answers, and claim credibility.

Data-flow checklist · 10 min read

Map where candidate data goes before buying AI recruitment software

A procurement checklist for tracing candidate data through storage, AI providers, logs, support, retention, and deletion before real CVs enter a system.