Create Financial Forecasts
Use a structured, evidence-aware workflow to create financial forecasts, surface missing context and finish with prioritized next actions.
Prompt structure
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01
Question
Define the decision and success criteria
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02
Evidence
Organize sources, definitions and gaps
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03
Analysis
Compare patterns, causes and alternatives
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04
Decision
Recommend actions with confidence levels
Use this prompt when
- You need evidence before making a business decision.
- Several data sources need to be compared consistently.
- The available information has gaps or uncertain claims.
- You need findings translated into practical next actions.
Information to provide
- The question or decision the analysis must support
- Available data, documents, links or observations
- Relevant segment, geography and time period
- Known limitations, definitions and assumptions
- The audience and the action they may take
What the prompt produces
- A concise answer to the research question
- Key findings tied to the supplied evidence
- Assumptions, gaps and confidence levels
- Prioritized recommendations and next checks
Fill it. Run it.
IDEAFORGELABS EXECUTION STANDARD
- Treat every bracketed field as a prompt placeholder. Use the value supplied for it consistently throughout the response.
- If a required placeholder or critical fact is missing, ask only the focused questions needed before producing the final deliverable.
- Do not invent facts, figures, credentials, sources, policies, customer evidence or business results.
- Clearly label assumptions, estimates, unresolved questions and anything that needs verification.
- Follow every task-specific phase, requirement, count, format and deliverable below. Do not replace them with a generic answer.
- Prefer recommendations and implementation steps that a solo operator or small team can realistically execute.
- Flag legal, financial, employment, privacy, security or safety decisions that require qualified review.
TASK-SPECIFIC PROMPT
#CONTEXT:
As an expert financial analyst and forecasting specialist, your task is to create a comprehensive financial forecast model for a company. The model should project the company's future revenue, expenses, and profitability based on historical data, market trends, and strategic assumptions. You will need to develop detailed spreadsheets with multiple scenarios, sensitivity analyses, and visualizations to support data-driven decision making.
#ROLE:
You are an expert financial analyst and forecasting specialist with deep knowledge of business modeling, accounting principles, and data-driven projections.
#RESPONSE GUIDELINES:
1. Start by analyzing the company's historical financial data, including revenue, expenses, and profitability for the past three years.
2. Research and incorporate relevant market trends, such as industry growth rate, market size, and competitive landscape.
3. Consider the company's strategic assumptions, including pricing strategy, cost structure, and investment plans.
4. Develop a comprehensive financial projection for the next five years, including revenue, expenses, and profitability forecasts.
5. Create multiple scenarios to account for potential changes in market conditions or company strategies.
6. Conduct a sensitivity analysis to identify key variables that have the greatest impact on the company's financial performance.
7. Develop data visualizations, such as charts and graphs, to effectively communicate the financial projections and insights.
8. Provide key insights and recommendations based on the financial forecast model to support strategic decision-making.
#TASK CRITERIA:
1. The financial forecast model must be data-driven and based on sound accounting principles.
2. The model should incorporate both historical financial data and relevant market trends.
3. Multiple scenarios and sensitivity analyses must be included to account for potential uncertainties and risks.
4. Data visualizations should be clear, concise, and effectively communicate key insights.
5. Recommendations should be actionable and aligned with the company's strategic objectives.
#INFORMATION ABOUT ME:
● Company financial and strategic data: [INSERT RELEVANT COMPANY FINANCIAL AND STRATEGIC DATA HERE]
#RESPONSE FORMAT:
Historical Financial Data:
Revenue:
● Year 1: revenue_year1
● Year 2: revenue_year2
● Year 3: revenue_year3
Expenses:
● Year 1: expenses_year1
● Year 2: expenses_year2
● Year 3: expenses_year3
Profitability:
● Year 1: profitability_year1
● Year 2: profitability_year2
● Year 3: profitability_year3
Market Trends:
● Industry Growth Rate: industry_growth_rate
● Market Size: market_size
● Competitive Landscape: competitive_landscape
Strategic Assumptions:
● Pricing Strategy: pricing_strategy
● Cost Structure: cost_structure
● Investment Plans: investment_plans
Financial Projections:
Revenue Forecast:
● Year 1: revenue_forecast_year1
● Year 2: revenue_forecast_year2
● Year 3: revenue_forecast_year3
● Year 4: revenue_forecast_year4
● Year 5: revenue_forecast_year5
Expense Forecast:
● Year 1: expense_forecast_year1
● Year 2: expense_forecast_year2
● Year 3: expense_forecast_year3
● Year 4: expense_forecast_year4
● Year 5: expense_forecast_year5
Profitability Forecast:
● Year 1: profitability_forecast_year1
● Year 2: profitability_forecast_year2
● Year 3: profitability_forecast_year3
● Year 4: profitability_forecast_year4
● Year 5: profitability_forecast_year5
Scenario Analysis:
Scenario 1:
● Description: scenario1_description
● Financial Impact: scenario1_financial_impact
Scenario 2:
● Description: scenario2_description
● Financial Impact: scenario2_financial_impact
Scenario 3:
● Description: scenario3_description
● Financial Impact: scenario3_financial_impact
Sensitivity Analysis:
Variable 1:
● Name: variable1_name
● Impact: variable1_impact
Variable 2:
● Name: variable2_name
● Impact: variable2_impact
Variable 3:
● Name: variable3_name
● Impact: variable3_impact
Data Visualizations:
● Chart 1: chart1_description
● Chart 2: chart2_description
● Chart 3: chart3_description
Key Insights and Recommendations:
key_insights_and_recommendations
How to use the prompt
- Add the real context
Provide the question or decision the analysis must support and replace broad statements with facts.
- Fill the important gaps
Answer the prompt's focused questions instead of allowing it to guess.
- Review the working analysis
Correct false assumptions and check calculations, claims and constraints.
- Choose the next actions
Select the recommendations that fit your capacity, risk tolerance and deadline.
- Measure and refine
Track the suggested indicators, then rerun the prompt when new evidence appears.
Create Financial Forecasts FAQ
What does the Create Financial Forecasts prompt do?
It helps you create financial forecasts through a structured workflow and produces evidence-backed analysis and recommendations.
What information should I provide?
Start with the question or decision the analysis must support, available data, documents, links or observations, relevant segment, geography and time period. Add constraints and examples for a more specific result.
Which AI tools work with this prompt?
The prompt works with ChatGPT, Gemini, Grok and other capable conversational models that can follow a multi-step brief.
Can I rely on the output without reviewing it?
No. Verify factual claims, calculations and recommendations before acting, especially for regulated, legal, financial or people-related decisions.