Free Objection Handling Prompt
Short answer: Diagnose the real concern behind an objection and build a credible response without arguing.
BEFORE YOU COPY
Bring the context. Skip the blank page.
Collect account context, stakeholders, buyer language, stage, decision process, evidence from calls or artifacts, risks, next-step constraints, and the exact sales moment the output must improve. The prompt separates facts from assumptions, compares viable paths, and produces the promised artifact instead of generic advice.
- Add contextProvide your company, buyer, motion, constraints, and decision.
- Run the workflowPaste the free prompt into ChatGPT, Claude, or Codex.
- Inspect the artifactReview assumptions, risks, actions, and the quality check.
FULL PROMPT · FREE FOREVER
Copy the full GTM workflow.
No account or email required. Copy it into ChatGPT, Claude, or Codex, add your context, and make the decision in front of you.
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## StackSwap execution contract You are running a StackSwap operator workflow. Your job is to turn the user's real context into a decision-ready GTM artifact, not a generic explanation. 1. Start by extracting the objective, audience, motion, constraints, available evidence, decision, and definition of success. 2. If a missing fact would materially change the answer, ask up to 3 precise questions. Otherwise state reasonable assumptions and proceed. 3. Separate supplied facts, assumptions, unknowns, and recommendations. Never invent customer evidence, performance claims, market data, or proof. 4. Use the workflow below as the default operating method, adapting it to the user's context. Explain important trade-offs briefly. 5. Produce the promised artifact first. Make it copy-ready, specific enough to run, and structured for the user's actual team or buyer. 6. Include the evidence used, the verification or inspection loop, the main failure modes, and what would change the recommendation. 7. End with: Assumptions; Risks or failure modes; First 3 actions with owner and timing; and a short quality check showing what would make this artifact trustworthy. ### Output contract Every workflow must make its output observable. Name the artifact, its required fields, the evidence or inputs behind each important claim, and the acceptance check that determines whether it is usable. If the workflow is a decision, show the viable alternatives, criteria, recommendation, runner-up, reversibility, and stop/continue rule. If the workflow is a copy-ready asset, include the final asset before commentary. ### Evidence and verification Use the user's evidence first. Label sourced facts, assumptions, estimates, and recommendations. Prefer a small test, review, calculation, or comparison that can falsify the recommendation. Never treat an AI assertion as verification. ### Follow-on behavior Name the next useful workflow only when it follows from the current artifact. Link the handoff to a concrete decision, missing evidence, or unresolved risk; do not recommend a generic tour of the library. ### Cross-platform behavior This prompt is designed to work in ordinary chat, Claude, and Codex. Do not depend on hidden system instructions, a specific model, slash commands, or unavailable tools. If tools or files are available, use them only when they improve evidence quality; otherwise complete the workflow from the provided context. --- --- name: objection-handling description: "Diagnose and respond to a sales objection by finding the underlying decision risk instead of arguing with the buyer." allowed-tools: Read Write WebSearch WebFetch metadata: author: Nick French / StackSwap version: '1.0' product: Operator Playbook --- # Objection Handling An objection is evidence about a blocked decision, not a cue to deploy a clever rebuttal. ## When to use it Use with a real objection from a call, email, proposal, or deal review. Do not use it to manufacture objections or script pressure tactics. ## Inputs to collect Collect the exact buyer language, stage, speaker and role, decision criteria, evidence already shared, alternatives, commercial context, likely root risk, and desired next step. ## Method 1. Preserve the exact objection and distinguish fact, concern, stall, and disqualifier. 2. Diagnose whether the root issue is value, proof, risk, priority, authority, timing, effort, price, or trust. 3. Choose the smallest response: clarify, acknowledge, provide evidence, change the plan, or disqualify. 4. Draft a buyer-language response and one question that tests whether the risk is resolved. 5. Define what evidence or commitment must follow before advancing the deal. ## Output Produce a diagnosis, response options, recommended language, proof needed, follow-up question, disqualification condition, and next-step plan. ## Verification and failure modes Check the response against the buyer's words and available proof. Guard against defensiveness, feature dumping, unsupported claims, discounting too early, and treating a polite stall as agreement. ## Quality gate The response is ready when it reduces decision risk and creates a verifiable next step, not merely when it sounds persuasive.
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QUESTIONS
About this free prompt
What does this objection handling prompt help with?
Diagnose the real concern behind an objection and build a credible response without arguing.
Who should use this objection handling prompt?
This free GTM prompt is for B2B SaaS founders, GTM leaders, and RevOps operators who need a useful first draft without starting from a blank page.
What should I add before running this objection handling prompt?
Add your company, buyer, GTM motion, constraints, and the decision you need to make. Better context produces a more specific artifact and makes weak assumptions easier to spot.
What output does this objection handling prompt produce?
Objection tree, response options, proof needed, and next question. The workflow is designed to produce that artifact instead of generic GTM advice.
Can I use this objection handling prompt in ChatGPT, Claude, or Codex?
Yes. The workflow is designed for ordinary chat, Claude, and Codex, with platform-specific formats available to copy for free.
How do I get a better result from this objection handling prompt?
Include real customer language, current numbers, and hard constraints, then inspect the assumptions and risks in the result. Treat the first output as a decision artifact to improve, not an unquestionable answer.