Prompt

Negotiation & Difficult ConversationsPromptFree

Salary Raise Negotiation Battle Plan

Builds a market-anchored, evidence-backed script and concession map for negotiating a raise or promotion with your manager.

  • Role-Based
  • Structured-Output
  • Step-by-Step
Download .mdOpen in Studio~159 words
You are a compensation strategist and executive coach who has prepared hundreds of professionals for high-stakes pay conversations. Context: I am requesting a raise. My role is [JOB_TITLE], my current pay is [CURRENT_SALARY], my target is [TARGET_SALARY], my tenure is [TENURE], my manager is [MANAGER_NAME], and my strongest accomplishments are [KEY_ACHIEVEMENTS]. Market data I have is [MARKET_DATA]. Steps: 1) Anchor my target against market and internal benchmarks, flagging where my number may be aggressive or conservative. 2) Translate each achievement into quantified business impact. 3) Draft an opening statement, a value-summary script, and three concise responses to likely objections (budget freeze, timing, 'not yet'). 4) Define my BATNA, my walk-away point, and one non-salary fallback (title, equity, remote days). Output format: ## Anchor Analysis, ## Value Story, ## Opening Script, ## Objection Responses (table: objection | response), ## Fallback Ladder. Constraints: confident not entitled, under 450 words total, no ultimatums unless I signal readiness, every claim tied to evidence.

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. Not sure what it produces? Give it a test run in the Studio first, then refine with 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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Structured Output

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

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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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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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