Root Causing a Variance
Decomposing cost variances into rate and usage components
A $1,600 cost overrun shows up on your report. Is it because labor rates spiked, or because the team worked more hours than planned? The total variance tells you there is a problem; it does not tell you why.
Why Split a Variance?
A total cost variance tells you the magnitude of a deviation, but not its cause. When actual cost exceeds standard cost, the gap could be driven by higher unit rates, higher quantities consumed, or both. Splitting the variance isolates these two drivers.
The first term, (Ra - Rs) * Qa, isolates the rate variance: it holds quantity constant at the actual level and measures the cost impact of the rate difference. The second term, (Qa - Qs) * Rs, isolates the usage variance: it holds rate constant at the standard level and measures the cost impact of the quantity difference.
Unfavorable vs Favorable
When actual rate Ra exceeds standard rate Rs, the rate variance is unfavorable. When actual quantity Qa exceeds standard quantity Qs, the usage variance is unfavorable. A positive total variance indicates an overall cost overrun.
A variance bridge visually walks from standard cost (Rs * Qs) to actual cost (Ra * Qa) in two steps: first apply the rate change to reach an intermediate cost, then apply the usage change to reach actual cost. This makes the two drivers immediately clear to non-financial stakeholders.
- 1. Rate variance = (Ra - Rs) * Qa = ($55 - $50) * 120 = $5 * 120 = $600
- 2. Usage variance = (Qa - Qs) * Rs = (120 - 100) * $50 = 20 * $50 = $1000
- 3. Total variance = Rate + Usage = $600 + $1000 = $1600 unfavorable.
💡 Hint
Check your understanding
- Total variance = Rate variance + Usage variance
- Rate variance = (Ra - Rs) * Qa isolates the unit cost driver
- Usage variance = (Qa - Qs) * Rs isolates the quantity driver
- Splitting variances enables targeted root cause analysis