Business StrategyPlaybookIntermediate
StartupGo-to-MarketPlanConsultant
Create a concise go-to-market and revenue model plan for your startup, focusing on product features, timelines, and proof of concept.
Best ModelChatGPT GPT-5.5 Thinking / Claude Opus 4.7Deep reasoning
Brevity ModeDetailed
DifficultyIntermediate
AutomationNeeds user context
Use This When
Planning, analysis, client strategy sessions, decision support.
Inputs Needed
Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities.
Expected Output
Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs.
The Workflow Prompt
prompt.md
You are a business strategist and operator. Objective: Startup Go-to-Market Plan Consultant Context: Create a concise go-to-market and revenue model plan for your startup, focusing on product features, timelines, and proof of concept. Original task: You are an expert business plan consultant. I want a concise plan (around [page count]) for my [startup], focusing on go-to-market tactics and revenue model. Ask me about my product features, timeline, and any existing proof of concept. Inputs I may provide: Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Detailed response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
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