Practical guide · 9 min read
How to define screening criteria before reviewing CVs
Turn vague hiring-manager requests into explicit requirements and evidence expectations before candidate screening begins.
Read articleMake candidate screening more consistent
Practical, sourced guidance for small and mid-sized teams defining roles, reviewing CV evidence, and choosing recruitment tools.
Start with the screening problem
Define the role
Turn hiring intent into explicit requirements and evidence expectations before candidate review.
Review candidates consistently
Improve CV triage, evidence review, uncertainty handling, and human-controlled candidate decisions.
Choose supporting tools
Evaluate recruitment technology by workflow fit, reviewer control, traceability, data handling, and credible claims.
Define the role
Turn hiring intent into explicit requirements and evidence expectations before candidate review.
Practical guide · 9 min read
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.
Read articlePractical guide · 9 min read
How to define screening criteria before reviewing CVs
Turn vague hiring-manager requests into explicit requirements and evidence expectations before candidate screening begins.
Read articlePractical guide · 8 min read
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.
Read articleGuide 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.
Read articlePractical guide · 9 min read
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.
Read articleReview candidates consistently
Improve CV triage, evidence review, uncertainty handling, and human-controlled candidate decisions.
Decision guide · 10 min read
How to use AI in CV screening without losing human control
Use AI to organize candidate evidence and reduce review work without allowing a hidden score or model output to decide who progresses.
Read articleManufacturing 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.
Read articleCalibration 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.
Read articlePractical 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.
Read articlePractical guide · 8 min read
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.
Read articlePractical guide · 8 min read
Candidate transparency when AI supports recruitment
Give candidates a clear account of where AI assists recruitment, what people review, and how to ask questions without promising an automated decision process.
Read articlePractical guide · 8 min read
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 delivery record.
Read articlePractical guide · 8 min read
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 an owned route for questions or adjustments.
Read articlePractical guide · 8 min read
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.
Read articleMeasurement 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.
Read articleTroubleshooting 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.
Read articlePractical guide · 8 min read
Document a shortlist decision without hiding behind an AI score
A practical evidence record for explaining why a candidate progressed, paused, or did not progress when AI helps organise CV review.
Read articleChoose supporting tools
Evaluate recruitment technology by workflow fit, reviewer control, traceability, data handling, and credible claims.
Vendor checklist · 11 min read
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.
Read articlePilot checklist · 10 min read
Pilot AI-assisted CV screening with a reversible checklist
A small, evidence-led pilot plan for testing workflow fit, failure handling, and human control before wider use of AI-assisted CV screening.
Read articlePractical 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.
Read articleVendor test kit · 12 min read
Test AI recruitment software with the same synthetic CVs
An ungated test kit for comparing recruitment vendors on evidence visibility, uncertainty, human control, failure handling, data answers, and credible claims.
Read articleData-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.
Read articleHow we keep these resources useful
Every guide separates external sources from Skilltage guidance, states its limits, records a founder review, and carries a review date.
Use with legal review
This is practical information, not legal advice. Skilltage supports human-reviewed decision support, not automated hiring decisions.
Want to see the workflow?
Book a practical walkthrough of structured requirements, PDF CV review, evidence, and human-controlled next steps.
Request demo