Most SMB manufacturers price jobs the same way: estimate. The owner walks the floor, looks at the part, says "five hours of labor." Six months in, the customer asks for a price reduction, and there's no data to push back with. Labor costing means every build has actual measured labor minutes — by operator, by station, by step. The next quote starts from data, not gut.
Operator badges in at the workstation: that's a start timestamp. They walk through the BOM section by section: each section has its own start + end. They hit Done: end timestamp. The system has measured labor minutes per build, per step, per operator — no time card to fill out, no spreadsheet to reconcile. The data exists because the work happened.
The right level depends on the question. Per build: is this individual job profitable? Per product: what does this assembly actually cost? Per customer: which customer is consuming the most labor relative to their margin? Per quarter: is total labor cost trending up or down? All rolled up from the same kiosk events. No second data entry, no reconciliation.
The first time you can show a customer the actual labor data behind a quote, the conversation changes. "Your part takes 47 minutes of measured labor on average. Here's the distribution. The 90th percentile is 58 minutes. If you want a price reduction, here are the three steps that cost the most — let's talk about which ones you can simplify." That conversation requires data. Tribal knowledge doesn't hold up.
Traditional time studies are a separate exercise: an industrial engineer with a stopwatch standing behind an operator, capturing 30 samples, computing an average, posting it on the wall. The data is stale the day you finish. Ignite Lean's time study runs every shift, every day, on every build. The average updates automatically. The spread is visible. The trend is visible.
Month 1, labor costing is interesting. Month 2, when a customer comes back for a re-quote on a part you've been shipping all year, you open the labor-costing report, see the actual cost, find out you've been losing margin on every unit, and re-price with confidence. That's the real win. The data was always there — you just couldn't see it.
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