ATZ CRM links candidate evaluation prompts to scorecards, post-interview summaries, panel debriefs, reference evidence, and client feedback workflows.
Copy-ready prompts
Use these evaluation prompts after interviews, assessments, or client feedback calls. They help recruiters turn scattered notes into evidence-based summaries that support clear next-step decisions.
Use after recruiter or client interview.
Summarize these interview notes for [candidate] applying to [job title]. Include strengths, concerns, evidence by competency, open questions, and recommended next step. Notes: [paste notes].
Use when shortlisting multiple candidates.
Compare these candidates against [job criteria]. Create a table with fit score, evidence, risks, compensation/availability notes, and recommendation. Candidates: [paste summaries].
Use after multi-interviewer feedback.
Synthesize panel feedback for [candidate]. Identify agreement, disagreement, evidence gaps, follow-up questions, and whether the candidate should advance, hold, or reject.
Prompt framework
Candidate evaluation prompts need notes, scorecard data, role criteria, and decision context. The AI should distinguish evidence from opinion and surface what still needs to be verified.
Candidate evaluation context: Interview notes
Candidate evaluation context: Role criteria
Candidate evaluation context: Evidence
Candidate evaluation context: Score scale
Candidate evaluation context: Recommendation
Use cases
Common mistakes
Workflow
Related resources
FAQ
Use interview notes, scorecard ratings, resume evidence, assessment results, client concerns, reference notes, and the decision format needed for the hiring team.
They consolidate feedback from multiple interviewers, separate evidence from opinion, show agreement or disagreement, and create a cleaner recommendation for the client.
Check that the summary is evidence-based, role-related, balanced, free from unsupported assumptions, and clear about next steps or remaining verification questions.
