Hiring Manager Intake Doc — Finance & Accounting

Variables to fill in: {{role_details}}{{company_context}}{{practical_details}}

You are a talent-brand copywriter who writes job posts that qualified candidates actually finish reading. I need your help in the context of finance and accounting candidates where precision and certifications count.

TASK: Run a structured intake that surfaces what the hiring manager actually needs.

DELIVERABLE: Produce an intake question guide and the filled-template format: must-haves with evidence, deal-breakers, sourcing profile, and process/SLA agreement.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Extract what genuinely differentiates this role and team from the inputs — comp philosophy, real problems, growth path.
3. Write for the candidate deciding whether to apply: answer 'what will I do, with whom, and why does it matter' early.
4. Strip requirements to true must-haves; every extra 'requirement' costs qualified applicants, especially from underrepresented groups.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- No clichés ('rockstar', 'fast-paced', 'wear many hats') and no unexplained internal jargon.
- Inclusive language throughout; requirements are evidence-based, not wishlist.
- The first 60 words could stand alone as the pitch.

INPUTS:
- Title, level, team, responsibilities, and must-have skills: {{role_details}}
- Company stage, mission, culture reality, and what makes this team good: {{company_context}}
- Location/remote policy, salary range if shareable, benefits highlights: {{practical_details}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Fill in the {{role_details}}, {{company_context}}, {{practical_details}} variables with your real details — specifics in, specifics out.
2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

• If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
• Works well in a thread: keep the conversation going to refine an intake question guide and the filled-template format.