variance-analysis

Analyze financial model variances against plans, forecasts, or prior periods.

1|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/Bainbridge-Growth/drivepoint-plugins --skill variance-analysis-bainbridge-growth
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: variance-analysis
Source: https://github.com/Bainbridge-Growth/drivepoint-plugins/tree/main/plugins/smartmodel/skills/variance-analysis
Command: npx skills add https://github.com/Bainbridge-Growth/drivepoint-plugins --skill variance-analysis-bainbridge-growth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires smartmodel-protocol, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a comprehensive analysis of variances in financial models, helping users understand the drivers behind performance discrepancies compared to plans or forecasts.

Core Features & Use Cases

  • Performance Analysis: Analyze variances in revenue, COGS, gross margin, and opex.
  • Comparison Bases: Compare against plan, forecast, prior period, or prior year.
  • Granularity: Supports monthly, quarterly, and YTD variances.
  • Use Case: Use when a user needs to explain revenue variances, check mid-month pacing, or analyze material deviations.

Quick Start

Run the variance analysis skill on your SmartModel to compare actuals with forecasted figures and identify key drivers of performance.

Frequently Asked Questions about variance-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decompose financial model variances into volume, price, and mix effects?

You can analyze variances across revenue, COGS, gross margin, and opex by comparing actuals against plans, forecasts, prior periods, or prior years to identify key performance drivers.

Can I run variance analysis on mid-month pacing and material deviations?

Yes, you can evaluate mid-month pacing and material deviations by comparing actuals against forecasted figures at monthly, quarterly, or YTD granularities.

Does financial variance analysis require integration with a SmartModel Protocol?

Yes, integrating with the smartmodel-protocol is required to supply the necessary financial model context and underlying data for accurate performance comparisons.

What is the best way to identify key drivers behind revenue variances?

The best way to identify revenue variance drivers is to decompose differences between actuals and forecasts into volume, price, mix, and timing effects.

How do I compare actuals against prior period financial forecasts?

You compare actuals against prior period forecasts by running a variance analysis to measure performance discrepancies and isolate volume, price, mix, and timing drivers.