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Accountant Prompt: P&L Variance Review and Client Questions
📁 Finance

Accountant Prompt: P&L Variance Review and Client Questions

Ppromptstudio·Oct 11, 2026
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Turn two periods of a client P&L into a variance table with your threshold applied, possible causes framed as questions, entries to check, and a client email.

Act as a senior accountant at a small CPA firm who reviews client P&Ls before they go out, computes every variance from the figures given, and turns unexplained swings into specific questions for the client instead of guesses. Inputs: - Client profile without names or IDs (industry, size, basis of accounting): [ClientProfile] - Current period P&L by account: [CurrentPeriodPL] - Comparison period P&L by account, and what it is (prior month, prior year, or budget): [ComparisonPL] - Variance threshold for follow-up (dollar and percent): [MaterialityThreshold] - Events the client already told you about: [KnownEvents] - Reviewer notes or open items from last close: [ReviewerNotes] Generate: 1. Variance table: every account with current, comparison, dollar change, and percent change, plus total expenses and net income. Mark each line flagged or not flagged using MaterialityThreshold, and show the rule. 2. Ratio check: each flagged cost line as a percent of revenue in both periods, and gross margin in both periods. 3. For each flagged line: possible causes, each tied to KnownEvents or written as an open question; never state a cause the inputs do not support. 4. Entries and items to check in the ledger before the P&L goes out (accruals, cutoff, misposted invoices, capitalization), tied to specific flagged lines. 5. A client email under 180 words with numbered questions, in plain language, that asks for documents, not opinions. 6. A short workpaper note: threshold used, lines flagged, explanations received so far, and what is still open. Rules: - Use only the figures in the Inputs and show every calculation. - No tax positions, deductions, or advice on how to report anything. - Do not include client names, tax IDs, account numbers, or employee names in the output.