Sample Deliverable

Candidate Analysis

The comparison your client would build themselves, if they had the time: every standardized resume and every Career Bio, weighed against each other and against the posting, into one set of objective, data-driven recommendations — before they’ve spoken to a single candidate.

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Two Passes, Not One

Mechanical comparison, then AI-read context

The same two-layer discipline as everywhere else in AIDA — a score you can audit, plus a narrative you can read.

Mechanical: The Score Breakdown

Every standardized resume is scored against the posting’s seven-layer keyword matrix, the same weighted layers AIDA uses on the job-seeker side — skills, seniority, industry, and more — so every candidate’s number is built the same way and can be checked line by line.

AI: The Fit Narrative

The score alone can hide a real mismatch behind a keyword coincidence, or bury a real match under an unusual title. AIDA reads each Career Bio against the posting in plain language and explains, in a paragraph, why the number is what it is.

Strengths, Risks, and Interview Focus

Every analysis names what to press on in the interview — the honest gap, the ambiguous title, the answer that’s worth probing — so the panel walks in with a plan instead of a résumé.

The Full Sample

Northbridge Financial — Manager, Business Intelligence

All four candidates Cardinal Talent Partners put through Know Your Candidate for this posting, ranked and compared side by side.

Sample only — “Sasha Bellamy”, “Cardinal Talent Partners”, “Northbridge Financial”, and every candidate named below are fictional, used purely to illustrate the format. Your own KYC reports are built entirely from the posting and resumes you provide.
CandidateCurrent RoleScoreTier
Marcus Whitfield Business Intelligence Manager, Callahan & Boyd Insurance 91/100 Best Match
Alex Rivera Manager, Business Intelligence, Fieldstone Retail Group 87/100 Best Match
Priya Anand Director of Analytics, Silverhart Consumer Group 74/100 Worth a Look
Dana Kowalski Senior Data Analyst, Bristlecone Systems 52/100 Weak Fit

Two Verdicts Worth Reading in Full

MARCUS WHITFIELD — BEST MATCH, 91

Marcus’s current title already matches the posting almost exactly, and his mechanical score reflects that. The AI pass adds what the score alone can’t: he has led exactly one migration of the kind Northbridge Financial is planning for next year, mentioned in a single bullet on page four of his original resume — the kind of detail a manual read easily skips, and the reason he edges out a title match that’s otherwise a coin flip against Alex Rivera.

DANA KOWALSKI — WEAK FIT, 52

Dana’s resume mechanically scores higher than her tier suggests — her keyword match on tools and titles is decent. Her fit narrative flags the reason for the downgrade: a 14-month gap between two roles with no explanation offered anywhere in her materials, and inconsistent dates between her resume and her LinkedIn profile. Neither is disqualifying on its own; together, they’re exactly what a Hiring Panel Playbook is built to probe directly, rather than let surface in a rejection email after the fact.

Want this analysis on your own candidate stack?

AIDA compares every resume against the posting and against each other, and hands you the recommendation, not just the data.

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