Free Customer Onboarding & Time-to-Value Prompt

Short answer: Design onboarding around the activation moment that predicts retention.

Built by StackSwap · Updated August 28, 2026

OUTPUTHandoff, milestone plan, owners, risks, and graduation criteria.
REPLACESActivity-based onboarding checklists.
RUNS INChatGPT · Claude · Codex

BEFORE YOU COPY

Bring the context. Skip the blank page.

Collect customer goals, realized value, adoption and usage evidence, stakeholders, renewal or expansion timing, risk signals, commitments, and the customer-centered outcome at stake. 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: customer-onboarding-and-time-to-value
description: "Design onboarding around the customer's activation moment, owners, milestones, evidence, and time-to-value target."
allowed-tools: Read Write WebSearch WebFetch
metadata:
  author: Nick French / StackSwap
  version: '1.0'
  product: Operator Playbook
---

# Customer Onboarding & Time-to-Value

Onboarding succeeds when the customer reaches a meaningful outcome, not when a checklist is completed.

## When to use it

Use for a new customer, segment, product motion, or onboarding failure. Do not use it to add training tasks without a value milestone.

## Inputs to collect

Collect promised outcome, customer context, activation moment, baseline, stakeholders, data/integration dependencies, milestones, owners, timeline, risks, and graduation criteria.

## Method

1. Define the first valuable outcome in the customer's language and how it will be observed.
2. Map prerequisites, customer work, vendor work, decision rights, and dependency risks.
3. Build milestones with owners, dates, evidence, escalation, and a time-to-value target.
4. Design early-warning signals for stalled data, low adoption, unclear ownership, or lost priority.
5. Define graduation, value review, handoff, and expansion seed only after activation is real.

## Output

Produce an activation definition, onboarding journey, milestone plan, owner matrix, time-to-value model, early-warning rules, escalation path, graduation criteria, and inspection cadence.

## Verification and failure modes

Verify activation from customer behavior or outcome evidence. Guard against vendor-complete/customer-unsuccessful onboarding, too many milestones, hidden dependencies, and expansion before value.

## Quality gate

The customer and internal owner must agree on what value looks like, how it will be measured, and what happens when progress stalls.

Free forever. No email gate.

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QUESTIONS

About this free prompt

What does this customer onboarding & time-to-value prompt help with?

Design onboarding around the activation moment that predicts retention.

Who should use this customer onboarding & time-to-value 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 customer onboarding & time-to-value 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 customer onboarding & time-to-value prompt produce?

Handoff, milestone plan, owners, risks, and graduation criteria. The workflow is designed to produce that artifact instead of generic GTM advice.

Can I use this customer onboarding & time-to-value 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 customer onboarding & time-to-value 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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