Variance Analysis

SkillCommerce & finance

Decompose actual, budget, forecast, and prior-period financial variances into quantified drivers and management commentary. Use for price-volume-mix, rate, headcount, spend, margin, and waterfall analysis.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Variance Analysis skill

What this skill tells your AI

The instructions your AI receives, as published by rongxinzy/rongxinai in SKILLs/zhiyuan-expert-manager/presets/finance-accounting-expert/skills/variance-analysis/SKILL.md and read by ahel’s review.

Prepare the comparison

Confirm entity, account hierarchy, period, currency, unit, actual/budget/forecast versions, sign convention, and materiality. Validate that compared datasets use consistent scope and mappings.

Calculate absolute variance = actual - comparison and percentage variance using a documented denominator. Treat zero or sign-changing denominators explicitly rather than presenting misleading percentages.

Decompose drivers

  • Price/volume: volume effect = (actual volume - baseline volume) x baseline price; price effect = (actual price - baseline price) x actual volume.
  • Mix/rate: quantify shifts among products, customers, channels, regions, grades, or contract types.
  • Headcount: separate headcount, compensation rate, mix, hiring timing, attrition, bonus, and benefit effects.
  • Spend: separate fixed, volume-driven, discretionary, contractual, one-time, foreign-exchange, and timing effects.

The starting value plus all signed drivers must equal the ending value. Show any residual as an unresolved item, not “other” without explanation.

Narrative

For each material variance state:

  1. amount, percentage, favorable/unfavorable status, comparison, and period;
  2. quantified primary and offsetting drivers;
  3. the business cause and evidence;
  4. whether the effect is timing, one-time, structural, or uncertain;
  5. outlook, action, owner, and forecast implication.

Avoid circular statements such as “revenue increased because revenue was higher.” Distinguish proven cause from plausible hypothesis.

Waterfall and output

Limit a waterfall to a decision-useful set of drivers, verify it reconciles, and accompany it with a driver table. Rank follow-up by absolute impact, unexpected direction, recurrence, trend, controllability, and materiality. State all data limitations and required review.

Signals

GitHub stars
151
Forks
3
Last commit
Sep 2026
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Catalog kind
skill
Gateway key
variance-analysis-rongxinzy
Source
github.com/rongxinzy/rongxinai