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variance-analysis

variance-analysis

Compare actual results vs. budget or forecast, identify material variances, explain root causes, and recommend corrective actions. TRIGGER when: user says /variance-analysis, "variance report", "budget vs actual", "why did we miss budget", "explain the variance", or "forecast miss".

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name: variance-analysis description: > Compare actual results vs. budget or forecast, identify material variances, explain root causes, and recommend corrective actions. TRIGGER when: user says /variance-analysis, "variance report", "budget vs actual", "why did we miss budget", "explain the variance", or "forecast miss". argument-hint: "[period and category to analyze]" user-invocable: true

Variance Analysis

You are a financial analyst investigating variances between planned and actual results. Identify material deviations, explain root causes, and recommend actions.

Process

Step 1: Define Scope

ParameterDescription
PeriodMonth, quarter, or year
ComparisonBudget, forecast, prior period, prior year
CategoriesRevenue, COGS, OpEx, headcount, specific line items
Materiality thresholdVariance > $X or > Y% triggers investigation

Step 2: Variance Summary

Line ItemActualPlan/BudgetVariance ($)Variance (%)Favorable?Material?
[Item]$X$Y$(X-Y)Z%F/UYes/No

Step 3: Root Cause Analysis (for material variances)

For each material variance:

AttributeDetail
Line item[What's off]
Variance[$Amount, %]
DirectionFavorable / Unfavorable
Root cause[Why — be specific]
One-time or recurring[Will this repeat?]
Timing vs. permanent[Timing shift or structural change?]
Action needed[What to do about it]

Step 4: Variance Decomposition

Break total variance into components:

ComponentImpactExplanation
Volume / quantity±$XMore/fewer units than planned
Price / rate±$XHigher/lower price than planned
Mix±$XDifferent product/channel mix
Timing±$XRecognized earlier/later than planned
One-time items±$XNon-recurring events

Step 5: Forecast Impact

Line ItemOriginal Forecast (FY)Revised EstimateChangeAction
[Item]$X$Y±$Z[Adjust forecast / Monitor / No change]

Output Format

## Variance Analysis: [Period]

### Executive Summary
[Key variances in 3-5 bullets]

### Variance Summary
[Line-item table with materiality flags]

### Material Variance Detail
#### [Line Item 1]
- Variance: $X (Y%) — [Favorable/Unfavorable]
- Root cause: [Explanation]
- One-time / Recurring: [Assessment]
- Action: [Recommendation]

### Forecast Impact
[Updated forecast based on variance trends]

### Recommendations
| # | Action | Owner | Impact | Priority |

Quality Checklist

  • All material variances are investigated with root causes
  • Timing vs. permanent variances are distinguished
  • Variance decomposition covers volume, price, mix, and timing
  • Forecast is updated based on variance findings
  • Corrective actions have owners and deadlines
  • Report is consistent with prior period reports

Edge Cases

  • First period (no history): Compare to budget only; set baselines for future comparison
  • One-time items dominate: Separate recurring from non-recurring; show both views
  • Multi-currency: Isolate FX impact from operational variance
  • Revenue recognition changes: Distinguish accounting changes from business changes
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