What it does
Generate Targeted Follow-up Questions is a free AI skill for recruiters and hiring managers. Give it your hiring criteria and interview notes. It shows where the evidence is thin or conflicting, then writes 3-7 probing questions for the candidate that close those gaps.
It works in Claude, ChatGPT, Microsoft Copilot and other AI Assistants.
The hiring criteria for the role
Interview notes, scorecards or a debrief summary
Optional: the next step and its length, who will ask, questions already asked
Where the evidence stands for each criterion: shown, open or not assessed
3-7 prioritised questions tied to your criteria, with probes and what a strong answer shows
A plan that fits your call length
A reference-check version, and who asks what, when
How it helps
It turns the notes from a finished interview round into a short question plan for the next conversation with the candidate.
The gaps that matter, in order
It puts the gaps in order: must-have criteria first, then interviewer disagreements, then thin evidence. Criteria already shown are left out.
New evidence, not repeats
Each question asks for a different example or tests the exact point of doubt, quoting the gap from your notes. Strong answers are described in observable terms, so scoring stays consistent.
Neutral in both directions
Questions never assume a doubt is true, and never ask about traits or personal life. A gap is "not yet shown", never "lacks". With several finalists, it suggests asking each the same core questions.
Honest about what a call can show
Where questions won't test a criterion, it says so and suggests another method, such as a short work sample.
Why we think it's useful
Fictional company, role, candidate and people.
Get this skill
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
