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- Financial Variance Detective — Explain Why Results Missed
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Financial Variance Detective — Explain Why Results Missed
Reconcile plan and actual results, quantify supported drivers and unexplained residuals, and prepare auditable management variance narratives.
$9.99
Financial Variance Detective — Explain Why Results Missed
Example session with this skill installed
Illustrative scenario: Same period and USD basis: plan 100 units at $20 each; actual 90 at $18 each. No mix or other adjustments. Reconcile revenue variance using a clearly stated price-volume bridge and avoid unsupported causes.
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- Compiled the financial variance detective
Baseline: Supplied plan for the same period and currency. Plan revenue = 100 × $20 = $2,000. Actual revenue = 90 × $18 = $1,620.
Revenue variance: $1,620 − $2,000 = −$380; −19% of plan. Unfavorable for revenue under the supplied comparison.
Bridge convention: Volume at planned price; price at actual volume.
Volume effect: (90 − 100) × $20 = −$200.
Price effect: ($18 − $20) × 90 = −$180.
Reconciliation: $2,000 − $200 − $180 = $1,620. Residual = $0 under the stated no-mix/no-adjustment model.
What is established: Fewer units and lower achieved price account arithmetically for the supplied difference.
What is not established: Why units or price changed. No discount, customer demand, competitor, timing or operational cause inferred. Margin impact cannot be assessed without cost data.
Next evidence: Unit and price definitions, transactional reconciliation, customer/product detail, discount and timing evidence, and approved management explanations.
Forward view: No recovery forecast from these figures alone. Human finance owner decides further investigation and action.
Execution: Illustrative manual bridge only. No financial system accessed, accounting certified or corrective action performed.
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About this skill
Financial Variance Detective helps FP&A and finance teams explain differences from an approved budget, forecast or other baseline. It aligns period, currency, scope and accounting definitions, reconciles totals, then separates price, volume, mix, timing, FX, one-offs and presentation effects where evidence supports them.
The skill builds revenue, margin, expense and cash bridges, avoids double counting and distinguishes management explanations from verified drivers. Unexplained residuals remain visible. Corrective-action questions and forward implications are qualified by actual data rather than invented recovery expectations.
Works in ChatGPT and Claude with authorized reports or supplied inputs. It provides management analysis, not audit or accounting certification, investment advice or fraud conclusions. No baseline, cause or future result is fabricated.
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