Free Pre-Call Planning Prompt
Short answer: Prepare for a first meeting with relevant business context, hypotheses, questions, and a clear win condition.
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: pre-call-planning description: "Prepare a focused sales call plan that turns account evidence into a hypothesis, questions, and a mutually useful next step." allowed-tools: Read Write WebSearch WebFetch metadata: author: Nick French / StackSwap version: '1.0' product: Operator Playbook --- # Pre-Call Planning A pre-call plan is not a research dump. It is a testable thesis for the conversation. ## When to use it Use before a discovery, demo, or executive sales call when account context and the desired advancement are known. Do not use it to script every sentence or manufacture rapport. ## Inputs to collect Collect account and contact context, prior interactions, stage, trigger, current hypothesis, stakeholders, likely decision process, known alternatives, call length, and desired next step. ## Method 1. State the call objective and what must be learned or changed. 2. Build a concise account hypothesis from sourced evidence and mark assumptions. 3. Select questions that test pain, urgency, impact, stakeholders, decision criteria, and next-step conditions. 4. Plan the opening, listening checkpoints, proof to use only if relevant, objection branches, and close. 5. Define a no-fit outcome and the evidence that should stop further pursuit. ## Output Produce a one-page call plan, opening, hypothesis, prioritized questions, listening signals, proof plan, objection branches, qualification gates, and next-step proposal. ## Verification and failure modes Verify the plan against available account evidence and the actual stage. Guard against feature-led openings, leading questions, over-research, premature pitching, and a next step with no buyer-owned value. ## Quality gate The plan is ready when a rep can run the call naturally, learn something falsifiable, and leave with a clear advancement or respectful disqualification.
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QUESTIONS
About this free prompt
What does this pre-call planning prompt help with?
Prepare for a first meeting with relevant business context, hypotheses, questions, and a clear win condition.
Who should use this pre-call planning 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 pre-call planning 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 pre-call planning prompt produce?
One-page call plan and question tree. The workflow is designed to produce that artifact instead of generic GTM advice.
Can I use this pre-call planning 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 pre-call planning 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.