What it does
Prepare Interviewers is a free AI skill that turns your interview plan and panel list into a one-page brief for every interviewer: their criteria, their questions, what strong and weak evidence sounds like, and how to take notes and score.
It's for recruiters and hiring managers, and works in Claude, ChatGPT, Microsoft Copilot and other AI Assistants.
Your interview plan or kit: criteria, questions and rating scale
Who is interviewing, and which criteria each person covers
Optional: the candidate's CV, interview times, your adjustment contact, the scorecard deadline
A panel check: who owns each criterion, and whether each slot fits its questions
One brief per interviewer, with only their own criteria and questions
What strong and weak evidence sounds like for each criterion
Note-taking and scoring tips
What to do about conflicts of interest, adjustment requests and topics that shouldn't come up
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.
One owner per criterion
It flags any criterion nobody owns, or two people covering the same one without a reason. It also checks each slot has the right number of questions for its length, and suggests a fix for you to confirm.
Evidence over impressions
Each brief describes what strong evidence sounds like (specific, recent, the candidate's own actions, a result) and what weak evidence sounds like (general, "we", hypothetical, no outcome). Interviewers write down what the candidate said and did, not their conclusion.
Independent scoring
Every interviewer scores each criterion straight after the interview and submits before the debrief, without sharing notes or ratings first.
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
Find answers to the most frequently asked questions
