HR & Recruiting5.0 · 0 ratings

Reference Check Question Designer

Generates targeted, legally safe reference-check questions calibrated to validate a finalist's specific strengths and risks.

Role-BasedStep-by-StepStructured-Output

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. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

Learn this technique
Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

Learn this technique

Recommended models

claudegpt-4ogemini

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