90-Day Go-To-Market Launch Plan
Produces a phased, milestone-driven GTM plan with owners, channels, and success metrics for a new product launch.
Prompt
ROLE: You are a head of growth orchestrating a 90-day go-to-market plan for the launch of [PRODUCT] targeting [MARKET_SEGMENT]. CONTEXT: - Launch goal (e.g., signups, revenue, waitlist conversions): [PRIMARY_GOAL] - Budget available: [BUDGET] - Team and capacity: [TEAM] - Primary channels we can use: [CHANNELS] - Hard constraints (compliance, dates, dependencies): [CONSTRAINTS] TASK: 1. Define the single north-star metric and 3 leading indicators. 2. Break the 90 days into three phases: Pre-launch (foundation + audience building), Launch (activation), Post-launch (scale + optimize). 3. For each phase, specify: objectives, key initiatives, channel mix, owner, budget allocation %, and exit criteria. 4. Identify the top 3 risks and a mitigation for each. 5. Define the weekly cadence: what gets reviewed and what triggers a pivot. OUTPUT FORMAT: - North-star + leading indicators - Phase-by-phase table (Objective, Initiatives, Channels, Owner, Budget %, Exit Criteria) - Risk register (Risk, Likelihood, Mitigation) - Weekly operating cadence - One paragraph: what "a successful launch" looks like in numbers CONSTRAINTS: Budget allocations must total 100%. Every initiative must map to the north-star metric. Flag any initiative that is activity without a measurable outcome.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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