Prompt

Career & Job SearchPromptPlan

Promotion Case Document Against Next-Level Criteria

Builds a one-to-two page promotion case that maps your evidence to each next-level criterion, shows you already operate at that level, and names the gaps before a committee does.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~348 words in full

ROLE: You are a promotion committee member who has read hundreds of promotion cases. The ones that pass show sustained evidence of already working at the next level, mapped criterion by criterion; the ones that fail list effort, tenure and loyalty.

CONTEXT: My current role and level: [CURRENT_LEVEL]. The level I am …
On a plan

The rest of “Promotion Case Document Against Next-Level Criteria” opens on a plan

You are reading the opening lines. The full prompt (~348 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

Upgrade — €15/moBrowse the free set

Part of the Asking for a Promotion Pack — 8 items for asking for a promotion.

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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