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7 Deadly Sins of FP&A Variance Analysis

Variance analysis is supposed to explain why numbers shifted.
Instead, most FP&A teams turn it into a ritual — a performance that eats hours but explains nothing.

Here are the seven deadly sins that prove your variance analysis is broken:

1. Worshipping Tiny Deviations

Arguing about office supplies being 8% over budget while churn jumped 15%. If the variance doesn’t move strategy, it isn’t worth the airtime.

2. Treating Explanations as Storytime

“We spent more on travel because… we traveled more.” That’s not insight. That’s narration.

3. Ignoring Timing vs. True Variance

Half of your “bad variances” are timing differences. If you don’t separate signal from noise, you’re just confusing leadership.

4. Playing the Blame Game

Variance reports often devolve into finger-pointing. FP&A’s job isn’t blame — it’s clarity.

5. No Materiality Thresholds

Without thresholds, everything gets explained. Which means nothing gets explained.

6. Static Explanations

You can’t recycle last quarter’s story and call it analysis. Variances evolve. So should your insight.

7. No Link to Decisions

If leadership reads the report and nothing changes, you didn’t deliver analysis. You delivered trivia.

Why This Matters

Variance analysis should sharpen decision-making, not waste hours. Get it wrong, and FP&A becomes theater. Get it right, and you spotlight the real dials that move performance.

At The Schlott Company, we help CFOs rebuild variance analysis as a decision tool, not a paperwork ritual. Our FP&A variance analysis frameworks cut noise, highlight material shifts, and tie every explanation back to action.

Because the point isn’t explaining the past. It’s shaping the future.

September 16, 2025/by Sarah Schlott
Tags: analysis, FP&A, variance
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https://theschlottco.com/wp-content/uploads/2024/06/pexels-jakubzerdzicki-25589797.jpg 800 1200 Sarah Schlott https://theschlottco.com/wp-content/uploads/2023/06/logo-schlottco-1.png Sarah Schlott2025-09-16 10:29:372025-09-17 22:10:537 Deadly Sins of FP&A Variance Analysis
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