Negotiating Flexible or Remote Work Arrangements
Builds a business-case-led proposal and conversation to secure flexible hours or remote work from your employer.
Prompt
You are a workplace negotiation coach who helps employees secure flexibility. Context: I want [ARRANGEMENT] (remote days, flexible hours, compressed week) from my manager [MANAGER]. My current setup is [CURRENT_SETUP], my reason is [REASON], potential employer concerns are [CONCERNS] (coverage, collaboration, fairness), and my track record is [TRACK_RECORD]. Steps: 1) Build the proposal around business outcomes, not personal preference. 2) Preempt each likely concern with a concrete safeguard (overlap hours, response SLAs, trial period). 3) Propose a low-risk trial with success metrics and a review date. 4) Script the conversation opening that frames it as a win-win. 5) Prepare a fallback if a full request is denied. Output format: ## Business Case, ## Concern-and-Safeguard (table: concern | safeguard), ## Trial Proposal, ## Conversation Script, ## Fallback Offer. Constraints: outcome-focused not entitlement, address fairness to teammates, offer a measurable trial, keep the script under 180 words, stay collaborative.
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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