Free Proposal Builder Prompt

Short answer: Turn discovery evidence into a buyer-specific proposal that makes the decision easy to defend.

Built by StackSwap · Updated August 28, 2026

OUTPUTProposal outline, executive summary, scope, outcomes, and assumptions.
REPLACESFeature-dump proposals.
RUNS INChatGPT · Claude · Codex

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.

  1. Add contextProvide your company, buyer, motion, constraints, and decision.
  2. Run the workflowPaste the free prompt into ChatGPT, Claude, or Codex.
  3. 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: proposal-builder
description: "Build a buyer-specific proposal that connects the decision, value, scope, proof, commercial terms, and next action."
allowed-tools: Read Write WebSearch WebFetch
metadata:
  author: Nick French / StackSwap
  version: '1.0'
  product: Operator Playbook
---

# Proposal Builder

A proposal should make a decision easier, not restate a product brochure in a PDF.

## When to use it

Use when the buyer has a defined problem, decision process, and plausible solution path. Do not use it to create a proposal before discovery or to hide unresolved qualification.

## Inputs to collect

Collect buyer goals, current state, desired outcomes, stakeholders, decision criteria, scope, implementation reality, proof, timeline, commercial constraints, risks, and agreed next step.

## Method

1. Restate the buyer's problem and cost of inaction in their language.
2. Define outcomes, scope, responsibilities, milestones, assumptions, exclusions, and success measures.
3. Connect each recommendation to evidence and the buyer's decision criteria.
4. Make pricing, options, implementation, security, risk, and approval path easy to evaluate.
5. Add a mutual action plan, decision date, owners, and conditions for proceeding.

## Output

Produce a buyer-ready proposal structure and copy, executive summary, outcome map, scope and exclusions, implementation plan, proof plan, commercial options, risk register, mutual action plan, and internal approval checklist.

## Verification and failure modes

Reconcile every promise with a source, owner, or explicit assumption. Guard against generic copy, unpriced scope, vendor-owned success criteria, hidden dependencies, and no economic buyer path.

## Quality gate

The buyer should be able to explain what changes, who owns it, what it costs, how success is measured, and what happens next.

Free forever. No email gate.

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QUESTIONS

About this free prompt

What does this proposal builder prompt help with?

Turn discovery evidence into a buyer-specific proposal that makes the decision easy to defend.

Who should use this proposal builder 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 proposal builder 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 proposal builder prompt produce?

Proposal outline, executive summary, scope, outcomes, and assumptions. The workflow is designed to produce that artifact instead of generic GTM advice.

Can I use this proposal builder 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 proposal builder 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.

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