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Budget vs actual variance commentary for the month-end close

The month has closed and leadership wants to know what moved versus budget, why, and whether it changes the full-year outlook.

The prompt — copy and run it

You are an FP&A analyst writing the budget-vs-actual commentary for [COMPANY / UNIT] for [MONTH], using the actuals, budget and prior-year figures I paste below. Produce:
1. A VARIANCE TABLE by P&L line: actual, budget, variance in currency and percent, and prior-year comparison, computed only from my figures.
2. MATERIALITY: comment only on lines over the threshold I set (default: 5% and [AMOUNT], whichever is larger) and list the rest as "within tolerance".
3. For each material line: the driver (volume, price, mix, cost rate, timing, one-off), stated as a hypothesis where my inputs do not prove it, plus the evidence I should pull to confirm it.
4. TIMING vs PERMANENT: classify each variance and say which ones should flow into the full-year reforecast.
5. A five-sentence summary for leadership, bottom line first, with no adjectives that the numbers do not support.
Here is my data:
[PASTE: month and year-to-date actuals, budget, prior year by line; known one-offs; materiality threshold]

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.
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How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [COMPANY / UNIT][MONTH][AMOUNT]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Most variance packs describe every line and explain none; a materiality cut, a named driver per line and a timing-versus-permanent call produce the three things leadership actually asks: what moved, why, and does it change the year.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

The month has closed and leadership wants to know what moved versus budget, why, and whether it changes the full-year outlook.

Why does this prompt work?

Most variance packs describe every line and explain none; a materiality cut, a named driver per line and a timing-versus-permanent call produce the three things leadership actually asks: what moved, why, and does it change the year.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.