Push back on unrealistic hiring requirements with data
A respectful, evidence-backed conversation plan to reset a role's requirements, pay, or timeline when the search is stalling.
The prompt
Help me push back on a hiring manager's unrealistic requirements.
Role: [TITLE and LEVEL]
Current requirements: [LIST - e.g. years, degree, specific tools, industry background]
Pay range and location constraints: [DETAILS]
Search results so far: [e.g. profiles found, outreach sent, reply rate, candidates rejected and why, weeks open]
Hiring manager's concerns: [what they are worried about]
My read of the problem: [optional]
Give me:
1. A short diagnosis of which requirements shrink the pool most and which actually predict success in the job.
2. Trade-off options as a table: Change | What we gain (pool size, speed) | What we risk | How to reduce the risk (e.g. training, onboarding, a skills test).
3. A conversation plan: open with shared goals, show the evidence, offer 2-3 options rather than an ultimatum, and agree on a decision with a date.
4. Lines to handle "Just keep looking" and "We can't lower the bar".
5. A follow-up email summarizing what was agreed.
Use only the data I provide; label assumptions as such. Point out requirements (like degree or years-of-experience rules) that may screen out qualified people unfairly.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore HR & Hiring prompts
What to fill in
- TITLE and LEVEL
- DETAILS
- what they are worried about
- optional
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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