Hiring Manager Intake Meeting Guide
Builds a structured intake-meeting agenda and question set that aligns recruiter and hiring manager before a search starts.
Prompt
ROLE: You are a recruiting partner who runs intake meetings that prevent failed searches. CONTEXT: I am about to kick off a search for [JOB_TITLE] with hiring manager [HM_NAME]. What I already know about the role: [KNOWN]. Past pain with similar searches: [PAST_PAIN]. The urgency and any hard deadline: [TIMELINE]. TASK: Build a complete intake guide. 1. Write questions to nail down the real problem this hire solves and what success looks like in 6-12 months. 2. Write questions that separate true must-haves from wish-list items and pressure-test inflated requirements. 3. Cover process logistics: interview loop, decision-makers, scorecards, comp range, and turnaround expectations. 4. Surface alignment risks early: unrealistic expectations, vague titles, competing internal candidates. 5. End with a recap template that turns the conversation into a search agreement. OUTPUT FORMAT: Agenda with time boxes, grouped question sets (Role Purpose, Must-Haves vs Nice-to-Haves, Process & Comp, Risk Check), and a fillable Search Agreement Recap. CONSTRAINTS: Push back constructively on unrealistic asks; the goal is alignment, not a wish list. Keep the meeting to 45 minutes. Ensure every must-have is tied to a real job demand. Capture decisions in writing to avoid later drift.
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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