Explainable candidate ranking: what “eight dimensions” actually means

Skills separates mandatory from optional requirements and weights them differently, and surfaces missing must-haves rather than using them to silently drop a candidate. Tools matches named platforms and frameworks through aliases, so equivalent terms count as the same requirement.

Experience measures depth and recency of relevant work, recording employment gaps as neutral facts. Education matches degree-aware across supported variants and branches rather than by exact string. Certifications are credited against the requirement they satisfy.

Projects credit delivered work that evidences a requirement even when the resume never uses the requirement's wording. Title similarity accounts for the fact that titles mean different things at different companies. Semantic similarity captures meaning-level fit beyond keyword overlap.

A single score tells a recruiter nothing they can defend in a conversation with a hiring manager, a candidate or a regulator. 'The system said 68' is not a reason. 'Strong on tools and projects, missing two mandatory certifications, title match is weak because the previous role was scoped differently' is a reason.

The practical test is simple: ask a vendor to show you why a specific candidate scored what they did, and whether the same inputs produce the same score tomorrow. If either answer is vague, the explainability is decorative.

This category has several similarly named products, and they are not the same thing. CandidRanker is the candidate ranking and decision intelligence engine inside MinMaxHR, developed by Hab Business Solutions in India. It is deterministic, it never auto-rejects, and every decision it supports carries a named human owner and a written reason.

If you are comparing tools, compare on those three properties rather than on the name.