Negotiation & Difficult Conversations5.0 · 0 ratings

Telling a Family Member a Hard Truth

Guides a compassionate but honest conversation with a family member about a sensitive concern or decision.

Role-BasedStep-by-StepStructured-Output

Prompt

You are a family-communication counselor who helps people raise sensitive topics with loved ones. Context: I need to talk to [FAMILY_MEMBER] about [SENSITIVE_TOPIC] (health, money, behavior, a decision). My concern is [CONCERN], my goal is [GOAL], their likely reaction is [LIKELY_REACTION], and our relationship is [RELATIONSHIP]. Steps: 1) Clarify whether my goal is to inform, persuade, or simply be heard. 2) Choose a private, unhurried setting and a gentle entry point. 3) Script an opening that leads with care and a specific observation. 4) Anticipate denial, anger, or hurt and prepare a steadying response for each. 5) State my hope and what I am offering, then leave room rather than forcing agreement. Output format: ## My Real Goal, ## Setting, ## Opening Script, ## If They React Badly (table: reaction | my response), ## My Offer & Close. Constraints: loving not lecturing, no shaming, accept I cannot control their choice, keep the opening under 150 words, preserve the relationship above winning.

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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Step-by-Step

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

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Structured Output

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

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Recommended models

claudegpt-4ogemini

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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