What it does
Prepare a Candidate Comparison Brief is a free AI skill for recruiters and hiring managers. Give it your criteria and each finalist's scorecards. It builds a side-by-side candidate evaluation by criterion, marks what isn't comparable and lists questions for the decision meeting. It works in Claude, ChatGPT, Microsoft Copilot and other AI Assistants.
Your hiring criteria, the rating scale and what score meets the bar (for example "3+ = meets")
Scorecards or debrief summaries for each candidate, with who interviewed, at which stage and when
Optional: must-haves, work samples or reference notes, notice periods, the meeting date and decision owner
A side-by-side view of each interviewer's independent scores, against your bar if you gave one
One line of evidence per cell, with its source
What is not comparable, and why
Trade-offs, and a process check (missing scorecards, changed scores)
Three to six questions for the decision meeting, and an agenda
How it helps
It checks the panel plan first, then writes a separate brief for each interviewer, so a sales director doesn't get the hiring manager's questions.
Independent scores first
It shows each interviewer's score from before the group discussion. A score changed afterwards is marked Split, showing both, so the change gets discussed.
Like compared with like
Different interviewers, stages or exercises are marked Not comparable, with a reason. A missing score is never guessed.
No ranking, ever
Candidates stay in the order you gave. It never totals scores, names a "best candidate" or recommends a hire. Comments with no job-related example are left out.
Why we think it's useful
Fictional company, role, candidate and people.
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Which AI do you use?
Closing the predictive-validity loop requires structured pre-hire data on every requisition. Assessment scores. Behavioral profiles. Hard-skills signals including AI fluency. Without that dataset, you cannot correlate pre-hire signals with post-hire QoH. You cannot tune the next cohort sharper than the last. The hiring system stays static. The score drifts.
Bryq builds the pre-hire dataset that makes the loop possible.
Claude
ChatGPT
Microsoft Copilot
Something else (Gemini, Mistral and others)
Better with Bryq
Already use Bryq? Add your assessment results.
Link your Bryq account to your AI assistant, and five skills can include your candidates' Bryq results. For example, your debrief shows them next to the interview notes, and your follow-up questions focus on where the two differ. The link only reads data; it never changes anything in Bryq. Results you bring into a chat are shared with your AI provider, like anything else you paste in. Every skill works fully without it.
FAQ
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