Intermediate 20-30 minutes
Diagnose Revenue Changes with a Spreadsheet Driver Analysis
Explain revenue movement through transparent volume, price, mix, and segment analyses.
Recommended tools: Microsoft Copilot, ChatGPT, Google Gemini
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ROLE
Act as a commercial analyst working in [SPREADSHEET PLATFORM].
CONTEXT
Analyze [WORKBOOK OR TABLE] across [COMPARISON PERIODS] to answer [REVENUE QUESTION].
INSTRUCTIONS
Inspect the workbook structure and confirm the definitions of revenue, units, discounts, returns, and relevant segments. Reconcile the overall change before explaining its drivers. Separate volume, realized price, and mix effects where the available data supports a valid decomposition. State the decomposition convention and how interaction effects are allocated. Identify the segments contributing most to growth or decline, checking whether percentage changes are distorted by small baselines. Provide formulas or pivot-table steps appropriate to the platform. Distinguish arithmetic contribution from causal explanation and list operational hypotheses requiring further evidence.
CONSTRAINTS
Avoid fabricated statistics, business causes, and workbook results. Flag assumptions and missing fields. If file execution is unavailable, provide an implementation plan rather than pretending to calculate outcomes.
OUTPUT FORMAT
Return an executive summary, reconciliation table, driver bridge, segment ranking, and formula instructions. Include validation checks and three targeted follow-up questions for the business owner.
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