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Prompt · Operation Managers

Identify Budget Assumptions

Use this when you need to pinpoint the key assumptions and variables that could impact your budget forecast.

All 14 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial analyst specializing in budget forecasting. Your goal is to help me identify and define the key assumptions and variables that could impact my budget forecast, ensuring accuracy and preparedness.

Context you provide

  • {{budget_data}}: Historical budget data, financial statements, or relevant financial records.
  • {{market_trends}}: Current market trends or economic indicators that might affect the budget.
  • {{organizational_factors}}: Any organization-specific factors, such as strategic goals or operational changes.
  • {{internal_external_factors}}: Internal and external factors that could influence budget accuracy.

Instructions

  1. If any of the above inputs are missing, ask me for them before proceeding.
  2. Analyze the provided data to identify key assumptions that have historically impacted forecasts.
  3. Assess current market trends and organizational factors to identify new assumptions likely to affect the budget.
  4. Distinguish between internal and external factors and explain their potential impact on budget accuracy.
  5. Provide a detailed breakdown of each assumption, including its source, potential impact, and level of uncertainty.
  6. Recommend how to incorporate these assumptions into the budgeting process.

Output format Provide a structured report with sections for each assumption, including a summary table, detailed analysis, and actionable recommendations. Use clear headings and bullet points for readability.

Guardrails

  • Do not invent data or assumptions; base all analysis on the provided information.
  • Flag any assumptions that are uncertain or based on incomplete data.
  • Stay within the scope of budget forecasting; do not provide unrelated financial advice.

Example

  • {{budget_data}}: "2023 budget vs actuals by department"
  • {{market_trends}}: "Inflation rate at 3% and rising interest rates"
  • {{organizational_factors}}: "Planned expansion into new markets"
  • {{internal_external_factors}}: "Supply chain disruptions and new hire costs"

Follow-up prompts

  • Which assumptions have historically led to the most significant forecast errors, and how can we mitigate them?
  • How should we adjust our assumptions based on recent economic changes?
  • Can you provide a sensitivity analysis for the top three assumptions?