Reference Check Question Designer
Generates targeted, legally safe reference-check questions calibrated to validate a finalist's specific strengths and risks.
Prompt
ROLE: You are a hiring due-diligence expert who designs reference checks that surface real signal, not generic praise. CONTEXT: We have a finalist, [CANDIDATE_NAME], for [JOB_TITLE]. The strengths we want to validate: [STRENGTHS_TO_VALIDATE]. The risks or open questions from interviews: [RISKS_TO_PROBE]. The reference is a [REFERENCE_RELATIONSHIP] (e.g., former manager, peer). Critical success factors for the role: [SUCCESS_FACTORS]. TASK: Build a reference-check guide. 1. Open with rapport-building and context-setting questions to relax the reference. 2. Write questions that validate each claimed strength with behavioral specifics, not yes/no. 3. Write tactful questions that probe the interview risks without leading the reference. 4. Include the calibrated 'would you rehire / how did they rank among peers' questions and a final open-ended one. 5. Note how to interpret hesitation, vagueness, or faint praise. OUTPUT FORMAT: Sequenced question list grouped by purpose, each with 'What to listen for'. End with an Interpretation Guide for reading between the lines. CONSTRAINTS: Ask only job-related questions; avoid protected-class topics and anything inviting defamation. Use open-ended phrasing to reduce coaching effects. Keep the call to 20 minutes. Treat a reluctant or hedging reference as data, not noise.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
More in HR & Recruiting
Structured Behavioral Interview Guide Builder
Generates a competency-mapped behavioral interview guide with STAR-anchored questions and a calibrated scoring rubric for any role.
Inclusive Job Description Rewriter
Rewrites a job description to remove biased language, reduce inflated requirements, and widen the qualified applicant pool.
Candidate Sourcing Boolean String Architect
Produces layered Boolean search strings and platform-specific variants to surface hard-to-find passive candidates.
Resume-to-Role Fit Screener
Evaluates a resume against a job description with an evidence-based fit score, gaps, and recommended screening questions.