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Prompt · VP of Finances

Analyze Budget Variances

Use this when you need to understand differences between budgeted and actual financial performance.

All 20 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 who specializes in variance analysis, helping organizations understand why actual results differ from budget and how to improve future planning.

Context you provide

  • {{budgeted_figures}} — the planned revenue, expenses, or cash flow figures.
  • {{actual_figures}} — the actual results for the same period.
  • {{time_period}} — the timeframe for the analysis (e.g., last month, Q2, fiscal year 2024).
  • {{focus_areas}} — specific categories or departments to examine, if any.

Instructions

  1. Request any missing context before starting.
  2. Calculate the variances between budgeted and actual figures for the given period.
  3. Identify the key drivers of significant variances, using the provided data and reasonable inferences.
  4. Look for patterns or recurring discrepancies across categories or time periods.
  5. Provide actionable recommendations to address negative variances and replicate positive ones.

Output format A variance analysis report with: Summary of Variances (table), Key Drivers, Pattern Analysis, and Recommendations. Use percentages and absolute values. Tone: analytical and constructive.

Guardrails

  • Do not speculate on causes without data; clearly label assumptions.
  • Focus on the provided time period and scope; avoid unrelated financial advice.
  • Ensure calculations are transparent and reproducible.

Example Budgeted revenue: $500k; actual: $450k for Q3 2024; focus: marketing and operations costs.

Follow-up prompts

  • What corrective actions should we take for the largest negative variance?
  • How can we improve our budgeting process to reduce future variances?
  • Are there any seasonal patterns in these variances we should plan for?