Business StrategyPlaybookAdvanced
FinancialModeling&ScenarioPlanning
Build detailed financial projections and scenario models (base, bull, bear cases) showing unit economics, CAC/LTV, runway, and path to profitability with key drivers and sensitivity analysis for fundraising and strategic decisions.
Best ModelChatGPT GPT-5.5 Thinking / Claude Opus 4.7Deep reasoning
Brevity ModeDetailed
DifficultyAdvanced
AutomationYes
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: Financial Modeling & Scenario Planning Context: Build detailed financial projections and scenario models (base, bull, bear cases) showing unit economics, CAC/LTV, runway, and path to profitability with key drivers and sensitivity analysis for fundraising and strategic decisions. Original task: **Act as a financial analyst specializing in SaaS/[BUSINESS_MODEL] financial modeling for [COMPANY_STAGE] companies.Build a comprehensive financial model for a [PRODUCT_TYPE] business with [INITIAL_ASSUMPTIONS].Create three scenarios:(1) Base Case (most likely outcome)(2) Bull Case (best reasonable outcome)(3) Bear Case (conservative outcome). For each scenario, model: unit economics, customer acquisition costs, lifetime value, churn rates, pricing strategy impact, runway, and path to profitability.I need specific monthly projections for [TIME_PERIOD], including P&L, cash flow analysis, and breakeven analysis. Highlight the key financial metrics that drive profitability. Identify the 3-5 most critical assumptions that would break the model if wrong. Format as: Model Overview → Scenario Comparison Table → Detailed P&L Projections → Key Drivers & Sensitivity Analysis → Recommendations for Financial Optimization. Make it usable for fundraising presentations.** 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: Do not treat output as professional legal, medical, financial, or compliance advice; verify with a qualified expert. Use live web research or source documents before finalizing claims.
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