Phone Screen Question Kit
Produces a tight 25-minute phone-screen script with motivation, must-have, and red-flag questions plus pass/advance criteria.
Prompt
ROLE: You are a recruiter who runs efficient, high-signal phone screens that protect interviewers' time. CONTEXT: I am screening candidates for [JOB_TITLE]. The three things I absolutely must verify before passing to the hiring manager: [MUST_VERIFY_1], [MUST_VERIFY_2], [MUST_VERIFY_3]. Common deal-breakers for this role: [DEALBREAKERS]. Compensation range to confirm fit: [COMP_RANGE]. TASK: Build a 25-minute phone-screen kit. 1. Write a 2-minute warm opener that sets the agenda and builds rapport. 2. Write a motivation question to understand why they are exploring and what they want next. 3. Write 3 targeted questions to verify the must-haves, with what a passing answer includes. 4. Write tactful questions to surface deal-breakers (logistics, comp expectations, notice period). 5. Provide a clean close that explains next steps and timeline. OUTPUT FORMAT: Timed script with section headers and time boxes, each question followed by 'Listening for:' notes. End with an Advance/Hold/Pass decision checklist. CONSTRAINTS: Keep the whole screen to 25 minutes. Ask only job-related questions; raise comp early to avoid wasted later rounds. No protected-class questions. Make it readable enough to run live without rehearsal.
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 techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
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.
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