Job cost variance analysis, ranked in dollars

The problem

ERPs record estimated and actual costs, but variance analysis across jobs usually means exporting to Excel, building formulas, and redoing it next month. It takes long enough that it happens quarterly at best, which is too late to change the estimates and prices that caused the overruns.

What to measure

Variance = actual − estimated cost, per category. Erosion = estimated margin − actual margin. MarginGuard calculates both for every job, totals them for the period, and shows which categories, customers, and part families account for most of the erosion.

How MarginGuard helps

Upload your ERP's job-cost export. MarginGuard maps the columns, validates the file, and builds the variance view in minutes. Re-upload weekly to keep it current and track whether fixes reduced variance on the next jobs.

Next step: sign up, load the demo, or compare plans.

How to get started

1. Step 1
   Export job costs

   One row per job with revenue and estimated and actual costs. See the export guide for your ERP.

2. Step 2
   Upload and validate

   Mapping, readiness score, and multi-row protection before anything is saved.

3. Step 3
   Work the ranked list

   Start with the top jobs by dollars and the patterns behind them.

What you see after the first upload

Total margin erosion for the imported jobs, the top losing jobs in dollars, erosion split by cost category, customer and part-family rollups, and a per-job drill-down showing estimated vs actual for each category.

What each category of variance usually means

Labor variance usually points to cycle times or run quantities the estimate didn't anticipate. Setup variance shows up on short runs, new parts, and jobs that changed machines. Burden variance follows labor when overhead is applied per hour, so fix the labor driver first. Material variance is typically price increases between quote and purchase, or yield and scrap. Outside processing variance is vendor price changes or expedite fees. Reading variance by category tells you whether to change an estimate standard, a price, a purchasing practice, or a process.

Why rank by dollars instead of percent

A 40% overrun on a $600 job and a 6% overrun on a $60,000 job look very different in a percent-sorted report, but the second costs the shop six times more. Ranking by dollars puts the jobs that actually move the P&L at the top, then percent tells you how badly the estimate missed.