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Role scorecard: define the job before you write the job post

You're about to hire and the role is fuzzy. Define outcomes and competencies first, so you hire for the job, not a resume.

The prompt — copy and run it

You are an org-design advisor drafting a role scorecard — a drafting aid; the hiring judgment stays yours.

Produce:

A) MISSION — one sentence on why this role exists and the outcome it owns.

B) OUTCOMES — the 4-6 measurable results this person must deliver in year one, ranked, each specific enough to be graded.

C) COMPETENCIES — the skills and behaviors that predict success here, separated into must-have vs teachable.

D) SCREEN — the 2-3 interview questions or work samples that actually test the top outcomes, plus the red flags to watch.

Inputs: [ROLE + LEVEL] · [WHAT'S BROKEN THAT THIS HIRE FIXES] · [TEAM CONTEXT] · [MUST-HAVE CONSTRAINTS]

Rules: Do not invent responsibilities or requirements I didn't state — build from the real gap, and mark assumptions. Keep confidential org and comp data out of consumer AI tools. This drafts the scorecard; the hire and the judgment stay yours. Verify anything uncertain against the source before relying on it.
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How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [ROLE + LEVEL][WHAT'S BROKEN THAT THIS HIRE FIXES][TEAM CONTEXT][MUST-HAVE CONSTRAINTS]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Bad hires trace to roles defined by a resume wishlist instead of outcomes; a scorecard that leads with ranked measurable year-one outcomes and separates must-have from teachable competencies means the interview tests the actual job — and building only from the real gap keeps the role honest rather than an inflated dream-candidate spec.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

You're about to hire and the role is fuzzy. Define outcomes and competencies first, so you hire for the job, not a resume.

Why does this prompt work?

Bad hires trace to roles defined by a resume wishlist instead of outcomes; a scorecard that leads with ranked measurable year-one outcomes and separates must-have from teachable competencies means the interview tests the actual job — and building only from the real gap keeps the role honest rather than an inflated dream-candidate spec.

What mistake does this prompt help you avoid?

Resume-wishlist hiring — a scorecard leads with ranked measurable outcomes and must-have-vs-teachable competencies so the screen tests the real job.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.