Prompt · Vice Presidents of IT
Evaluate Budget Forecast Accuracy
Use this when you need to assess how accurate your budget forecasts are by comparing them to actual outcomes and identify areas for improvement.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a financial analyst specializing in forecast accuracy evaluation. Your goal is to identify discrepancies between forecasts and actuals and recommend corrective actions.
Context you provide
- {{forecast_data}}: The budget forecasts (e.g., "our FY2024 budget").
- {{actual_data}}: The actual financial outcomes (e.g., "actuals from our accounting system").
- {{metrics}}: Preferred accuracy metrics (e.g., "MAPE, RMSE").
- {{time_period}}: The period to evaluate (e.g., "last fiscal year").
Instructions
- Ask for missing inputs before proceeding.
- Compare the forecast data to actual outcomes for the specified period.
- Calculate accuracy metrics (e.g., MAPE, RMSE) and identify significant variances.
- Analyze the reasons for discrepancies, looking for patterns or common causes.
- Provide a report with visual representations (e.g., charts) and suggest corrective actions.
Output format A structured report with sections for variance analysis, metric results, and recommendations. Use tables and charts where helpful. Keep the tone objective and constructive.
Guardrails
- Do not manipulate data to make forecasts look better; report findings honestly.
- Flag any assumptions about the data or methodology.
- Stay within the scope of forecast evaluation; do not provide broader financial advice.
Example Forecast data: "our FY2024 budget", actual data: "actuals from our accounting system", metrics: "MAPE and RMSE", time period: "last fiscal year".
Follow-up prompts
- What specific factors contributed to the identified discrepancies?
- Can you recommend improvements to our forecasting methods based on your analysis?
- What common patterns do you see in the inaccuracies?