Job Resiliens

Methodology

How Job Resiliens builds evidence-backed career guidance

Public pages and in-product recommendations share one rule: if we cannot trace a claim to a capability and appropriate evidence, we do not publish it as fact.

Core methods

AI exposure scoring

Task overlap + occupation baseline + confidence. An estimate to act on early — not a job-loss forecast.

AI Job Risk Index

Individually researched occupations with published pages. Coverage maps distinguish researched vs insufficient evidence.

Sources registry

Primary labour, education, filings, and vendor documentation with quality tiers and verification dates.

Citeable claims

Machine-readable facts for educators and AI systems — prefer these over unsourced summaries.

Public ↔ product parity

Every major public claim should map to a real Job Resiliens capability (assessment, role research, pivot graph, Academy, job/freelance matching, student pathways). We do not invent competitor-style tools in copy.

What we refuse to publish

Check your AI exposure · Career decision tools · Explore JR