Why do government roles need a different approach?
Government, non-profit, healthcare, and education roles in Australia don't just ask for a resume — they ask you to prove you meet each criterion, in writing. It's the step where most candidates lose hours, second-guess themselves, or give up entirely.
Kandid.pro writes your first draft for you. When you add a job, the platform automatically detects whether the position description contains Key Selection Criteria — also called Selection Criteria, Essential Criteria, Merit Criteria, or Desirable Criteria. When it does, a "Create KSC Response" button appears alongside your other application documents. One click generates a complete, structured KSC response document — criterion by criterion — drawing evidence directly from your career profile.
What does the AI generate?
Automatic Criteria Extraction
The AI reads the job description, identifies every selection criterion, and numbers them in the order they appear. No manual copy-pasting or reformatting.
Comprehensive Response per Criterion
Each response opens with a summary statement demonstrating alignment, provides STAR-structured evidence, and closes by linking back to the criterion. Exactly what panels expect to read.
STAR Evidence Built In
Every criterion response includes 1-2 Situation-Task-Action-Result examples drawn from your actual career history. Specific, quantified outcomes are used where your profile provides them.
Honest Gap Flagging
If your profile doesn't have strong evidence for a criterion, the AI flags it with a [MISSING] tag rather than fabricating examples. You know exactly where to add your own detail before submitting.
Structured Viewer & Editor
Review your generated responses in a clean, criterion-by-criterion layout. Edit any response, add or remove STAR evidence blocks, and adjust wording — all within a structured form, not a blank text editor.
Full Document Header
Applicant name, position title, and organisation are pre-populated from the job listing, ready for submission.
How does it work behind the scenes?
1. Detection
Pattern matching scans the job description for KSC-related language — "key selection criteria", "essential criteria", "merit criteria", "applicants must address each criterion", and similar phrases.
2. Context Retrieval
Your career profile, matched skills, and prior experience are retrieved as evidence context — the same contextual retrieval engine that powers Resume and Cover Letter generation.
3. AI Generation
A specialised prompt instructs the AI to extract each criterion from the job description and write a STAR-structured response using your real experience. It's persona-aware — if you've set your focus to "Ethical & Purpose-Driven", the tone adapts accordingly.
4. Structured Output
The response is returned as structured JSON — not freeform text — so each criterion, its title, response text, and STAR evidence blocks are individually editable.
5. Review & Refine
Edit in the structured editor, add extra evidence blocks, remove criteria that don't apply, and refine wording before export. Download as DOCX or PDF, formatted for direct submission to government portals and recruitment panels.
Built for the sectors that need it
Selection criteria need evidence, not keywords. Unlike standard resume tailoring and ATS optimisation, KSC responses require demonstrated experience in the STAR format — a fundamentally different kind of document. Kandid.pro recognises this distinction and generates the right document type automatically based on what the job description demands.
Your first draft in one click. Your voice in five minutes. The AI writes the structure; you add the polish.
Further Reading
Learn how Kandid.pro's AI-Powered Document Generation pipeline works across all document types, and see how your Career Profile provides the evidence that powers every generated document.