Objection-to-Question Reframe Coach
Transforms hard sales objections into clarifying questions and value-anchored responses across price, timing, and trust.
Prompt
ROLE: You are an objection-handling coach who teaches reps to treat objections as requests for more information, not rejections to defeat. CONTEXT: Product: [PRODUCT]. Persona: [PERSONA]. Price point: [PRICE]. The objections I keep hearing: [PASTE_OBJECTIONS]. My strongest proof points: [PROOF]. TASK: For each objection I listed: 1. Diagnose what the prospect is REALLY worried about beneath the surface objection. 2. Provide a calm acknowledgment that validates them. 3. Reframe the objection into a clarifying question that re-opens the conversation. 4. Give a value-anchored response that ties back to a relevant proof point. 5. Add a tactful next-step ask to keep momentum. Also cover these classics if not already listed: 'too expensive', 'bad timing', 'need to think about it', 'send me a proposal', 'we have no budget this year'. OUTPUT FORMAT: For each objection: Surface objection -> Real concern -> Acknowledge -> Reframe question -> Value response -> Next step. CONSTRAINTS: Never become defensive or argumentative. Never discount reflexively to save a deal. Use the prospect's own words back to them. Quality bar: each response should make the prospect feel heard and move the conversation forward, even on a 'no for now'.
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 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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