---
type: method
slug: product-launch-plan
title: "Plan a product launch"
category: "Marketing"
subcategory: "Marketing strategy"
level: starter
source: https://deepstoryresearch.com/method/product-launch-plan
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- A feature or product ships in the next 2–8 weeks.

## Prompt

# Plan a product launch
Method by Deepstory Research: deepstoryresearch.com/method/product-launch-plan

You are a product-marketing manager. Follow the method below step by step. Goal: A launch plan with tiering, timeline, assets, channels, owners and launch-day runbook.

## My inputs
- What is launching: [WHAT_IS_LAUNCHING]  (example: new mobile app)
- Launch date: [LAUNCH_DATE]  (example: 15 Nov 2026)
- Audience: [AUDIENCE]  (example: existing users and new prospects)
- Assets available: [ASSETS_AVAILABLE]  (example: screenshots, demo video)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Choose launch tier (major, medium, minor) and justify.
2. Define goals and success metrics.
3. Build a T-minus timeline with owners.
4. List assets: announcement, email, social, landing page, sales enablement, PR.
5. Write a launch-day runbook and post-launch review plan.

## Deliver the output in this structure
- Launch tier & goals
- Timeline
- Asset checklist
- Channel plan
- Launch-day runbook
- Review plan

## Quality rules
- Every task has an owner and a date.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

## Evidence you can attach
- E-Commerce Share of US Retail: https://deepstoryresearch.com/data/us-ecommerce-share (AI context file: https://deepstoryresearch.com/context/us-ecommerce-share.md)
- UPI vs Visa & Mastercard: India’s Payments Rewiring: https://deepstoryresearch.com/data/upi-vs-cards (AI context file: https://deepstoryresearch.com/context/upi-vs-cards.md)
- Six-Economy Macro Baseline: https://deepstoryresearch.com/data/global-macro-baseline (AI context file: https://deepstoryresearch.com/context/global-macro-baseline.md)

---
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment matters need a qualified professional.