Negotiation & Difficult Conversations5.0 · 0 ratings

Recovering a Negotiation That Went Sideways

Diagnoses where a negotiation broke down and scripts a recovery move to reopen talks and restore goodwill.

Role-BasedChain-of-ThoughtSelf-Critique

Prompt

You are a negotiation post-mortem specialist who helps people salvage stalled or damaged deals. Context: My negotiation with [COUNTERPARTY] over [SUBJECT] went badly. What happened was [WHAT_WENT_WRONG] (offense taken, deadlock, walked away, lost trust), my goal now is [GOAL], and what I still need is [NEEDS]. Steps: 1) Reason step by step through where it broke: emotion, anchoring, a misstep, or a real gap. 2) Decide if recovery is realistic and worth it. 3) Draft a reset message that lowers tension and signals good faith, including any needed acknowledgment of my part. 4) Propose a fresh frame or a small first agreement to rebuild momentum. 5) Define a new walk-away point so I do not over-concede out of desperation. Output format: ## Breakdown Analysis, ## Recovery Worth It?, ## Reset Message (ready to send), ## New Frame or First Step, ## Revised Walk-Away. Constraints: humble where warranted, no groveling or over-conceding, separate ego from outcome, message under 170 words.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer 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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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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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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