Free Buyer Persona Builder Prompt

Short answer: Translate a target role into jobs, metrics, fears, triggers, language, and buying influence.

Built by StackSwap · Updated August 28, 2026

OUTPUTEvidence-led persona brief and messaging implications.
REPLACESDemographic persona fiction.
RUNS INChatGPT · Claude · Codex

BEFORE YOU COPY

Bring the context. Skip the blank page.

Collect customer or prospect examples, observed problem and urgency signals, firmographic or behavioral constraints, disqualifiers, economics, and how the team will act on the segment. 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: buyer-persona
description: "Build an evidence-backed buyer persona that explains context, jobs, pressures, decision behavior, and language, not demographic filler."
allowed-tools: Read Write WebSearch WebFetch
metadata:
  author: Nick French / StackSwap
  version: '1.0'
  product: Operator Playbook
---

# Buyer Persona Builder

A persona is useful only when it changes a message, qualification choice, sales motion, or product decision.

## When to use it

Use when the team lacks a shared view of who experiences the problem and how they decide. Do not use it to invent motivations from job titles or demographics.

## Inputs to collect

Collect customer and prospect evidence, role and operating context, job and trigger, current workaround, desired outcome, risks, stakeholders, buying process, language, and sample size.

## Method

1. Cluster observed patterns by job, problem, trigger, consequence, and decision role.
2. Separate direct evidence, repeated pattern, inference, and unknown.
3. Define the persona's situation, job-to-be-done, stakes, alternatives, objections, proof needed, and buying behavior.
4. Name disqualifiers and variation boundaries so the persona does not become a stereotype.
5. Connect the persona to message, channel, qualification, and product implications.

## Output

Produce an evidence ledger, persona card, job and trigger map, language bank, decision map, disqualifiers, proof plan, message implications, and open research questions.

## Verification and failure modes

Test the persona against real conversations and account examples. Guard against demographic filler, one-customer generalization, buyer/user confusion, and unsupported psychological claims.

## Quality gate

The persona is ready when a team can predict a behavior or decision and point to evidence for why.

Free forever. No email gate.

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QUESTIONS

About this free prompt

What does this buyer persona builder prompt help with?

Translate a target role into jobs, metrics, fears, triggers, language, and buying influence.

Who should use this buyer persona 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 buyer persona 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 buyer persona builder prompt produce?

Evidence-led persona brief and messaging implications. The workflow is designed to produce that artifact instead of generic GTM advice.

Can I use this buyer persona 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 buyer persona 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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