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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.

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.