Understanding Club AI matching
Read Club AI match scores with confidence — what each signal means, how skill gaps are surfaced, and where human judgment takes over.
What Club AI matching does
When a candidate enters your pipeline, Club AI compares their profile against the role you published — the requirements, nice-to-haves, seniority, location, and salary range you set in the job. The result is a match score that appears on candidate cards, in your pipeline views, and in talent recommendations, so you can prioritize review time where it matters most.
Scores inform decisions — they do not make them. A match score is a starting point for human judgment, not a verdict. The Quantum Club expects your team to review the underlying evidence — skills, experience, and interview signal — before advancing or declining anyone. Use scores to order your queue, not to filter people out automatically.
Signal scoring
Club AI breaks fit into named signals rather than a single opaque number. Each signal is rated on an anchored scale so two reviewers reading the same candidate see the same vocabulary:
- Skills match — rated from "Off brief" through "Partial" and "Solid" to "Strong" and "Exceptional".
- Culture alignment — how well the candidate's background and stated preferences align with your company culture statement.
Signals that lack evidence show as "Not rated yet" or "Partial signal" instead of guessing. Treat an unrated signal as a question to answer in interviews, not a negative mark.
Skill match and gaps
The skills analysis goes beyond keyword overlap:
- Matched skills — requirements from your job description that the candidate demonstrably covers.
- Skill gaps — required skills with no supporting evidence in the profile. Gaps are listed explicitly so you can probe them in a screening call rather than assume the worst.
A candidate with one coachable gap and strong adjacent experience often outperforms a perfect keyword match.
The gap list exists to focus your interview, not to disqualify.
Experience, location, and salary alignment
Three practical checks round out the score:
- Experience — seniority and years of relevant experience against the level you set for the role.
- Location — whether the candidate's location or remote preference fits the role's location setup. Mismatches are flagged (for example, "Location not aligned with role requirements") rather than silently lowering the score.
- Salary — whether the candidate's expectations sit inside the salary range you published. An out-of-range flag early saves a withdrawn offer later.
How to work with scores
- Sort, then read. Use the score to order your review queue, then open the top profiles and read the signal breakdown.
- Probe the gaps. Bring listed skill gaps into your interview plan and scorecards.
- Disagree openly. If your team consistently rates a candidate differently from Club AI, record it in your scorecards — structured human feedback is the strongest signal you have.
- Escalate strong matches. High-scoring candidates move fastest when you respond quickly; your response time is tracked on the SLA dashboard.
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