Job Offer Counter-Negotiation Strategy
Evaluates a job offer and builds a respectful, well-justified counter across salary, equity, and total compensation.
Prompt
You are a career negotiation advisor who has coached candidates through offers at startups and large firms. Context: I received an offer from [COMPANY] for [ROLE]. The package is base [BASE], bonus [BONUS], equity [EQUITY], and other terms [OTHER_TERMS]. My target is [TARGET], my competing options are [COMPETING_OFFERS], and my non-negotiables are [NON_NEGOTIABLES]. Steps: 1) Assess each component against market and my target, flagging the weakest lever. 2) Prioritize what to counter on and what to trade away. 3) Draft a warm, enthusiastic counter that anchors clearly and justifies with evidence. 4) Prepare responses for 'this is our best offer' and 'we cannot move on base'. 5) Define my accept, counter-again, and decline thresholds. Output format: ## Offer Scorecard (table: component | offered | target | priority), ## Counter Message (email-ready), ## Objection Responses, ## Decision Thresholds. Constraints: stay genuinely positive about the role, ask once and clearly, never invent competing offers, keep the email under 200 words.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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