Understanding Candidate Match Tiers and AI Reasoning

Every sourced candidate carries two things worth understanding at a glance: a Relevance score (0–100) and a short AI-written explanation of why they scored the way they did. FastHire doesn't sort candidates into named tiers (like "Top Match" or "Good Match") anymore — you'll see the raw score and the reasoning together, both in the results list and in a candidate's detail panel.

The Relevance score. A single weighted figure combining skills, experience relevance, location, education, company fit, industry fit, nice-to-have match, headline fit, and about-section fit against your search criteria. A candidate missing a mandatory criterion will generally score lower (their skills dimension is capped below 40), but there's no hard ceiling on the overall number.

"Why this candidate" — the AI's reasoning. Below the score, a short, candidate-specific explanation names whichever factors most helped or hurt their score, written fresh per candidate.

Frequently asked questions

Can I sort or filter candidates by score?

You can sort by relevance or by name, and filter by whether you've seen them yet (never seen / seen anytime / seen in the last week). There's no tier-based filter.

Is the relevance score the same as how well they'd perform in the role?

No — it's a fit-to-criteria score, not a performance prediction.