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November 12, 2025 · The Bloomfield Team

10 Things Every Job Shop Should Track Daily

Most job shops generate reports monthly. Monthly reports tell you what went wrong 30 days ago. By the time you read them, the problems they describe have already compounded into next month's problems. Daily tracking changes the speed of response, and the speed of response determines whether a problem costs $500 or $15,000.

This is not about tracking everything. Shops that try to measure 40 KPIs end up measuring none of them well. The following ten metrics, tracked daily, give a shop owner or production manager a complete picture of operational health in under five minutes.

For the full framework on manufacturing metrics, see our guide to production visibility for manufacturers.

1. Schedule Adherence

How many jobs completed their planned operations today versus how many were scheduled to. A shop tracking this daily catches a three-job slip on Tuesday and recovers by Thursday. A shop tracking it monthly finds out in December that November's on-time delivery was 76%. One of those shops keeps the customer. The other gets a phone call.

2. Machine Utilization by Cell

Not overall utilization. Per-machine utilization, measured as spindle time divided by available time. The average across your shop might look healthy at 72%. The Mazak in cell three running at 45% because it is waiting for material that has not been staged tells a different story. Daily tracking at the cell level reveals where capacity is leaking right now, while there is still time to fill it.

3. First Pass Yield

The percentage of parts that pass inspection on the first attempt, without rework. Track this daily by job, and patterns emerge within weeks. A specific machine producing lower yield on Tuesday second shift. A particular material lot causing dimensional variation. These patterns are invisible in monthly averages because the good days dilute the bad ones.

4. Jobs at Risk of Missing Delivery

Every morning, this number should be visible on a screen that the production manager, the scheduler, and every cell lead can see. The job is three operations behind with a delivery date in four days. Action today might save it. Action on Friday will not. This is the single most actionable daily metric because it tells you exactly where to focus attention in the next eight hours.

5. Open Quote Aging

How many RFQs have been in the queue for more than two days without a response. Quoting bottlenecks form silently. The estimator has 12 open quotes and the newest ones keep getting pushed behind the urgent ones. Meanwhile, the customer who sent the RFQ four days ago has already received quotes from two competitors. Quoting speed drives win rate more than almost any other variable, and daily visibility into the queue is how you keep it under control.

6. Setup Time Versus Standard

When actual setup time deviates from the standard by more than 15%, something is off. Missing tooling. An undocumented fixture modification. A newer operator who needs guidance. Tracking this daily means the supervisor can walk over to the machine and solve the problem during the setup, rather than discovering the variance in next month's efficiency report.

7. Scrap Cost in Dollars

Not scrap rate as a percentage. Scrap in dollars. A 1.5% scrap rate sounds acceptable until you realize it represents $4,200 this week because three Inconel blanks at $1,400 each went in the bin due to a programming error. The dollar number gets attention. The percentage does not. Track both, but put the dollar figure on the board.

8. Labor Hours Versus Quoted Hours

For every job on the floor, how do actual labor hours compare to the estimate? This catches overruns while there is still time to adjust. A job quoted at 40 hours that hits 30 hours consumed with 60% of operations complete is heading for a 50-hour finish. The production manager can reassign it to a faster operator, adjust the remaining setup sequence, or flag it to the estimator for future quoting accuracy. None of that is possible when the variance only surfaces after the job ships.

9. Material on Hand Versus Needed

Does the shop have raw material staged for every job scheduled to start in the next 48 hours? A simple yes or no by job number. When the answer is no, the purchasing team has a day and a half to source material before the machine goes idle. When this metric is tracked weekly, the machine has already been sitting empty for two shifts by the time anyone notices.

10. Unplanned Downtime Events

Count the number of unplanned machine stops per day. Not the duration. The count. One stop per day is maintenance. Four stops per day is a pattern, and the machine is telling you something that a daily count reveals but a monthly average hides. This is the earliest indicator of a major failure developing, and it costs nothing to track.

Making It Stick

The common failure mode is building a dashboard that nobody looks at. The fix is simple. Put these ten numbers on a screen in the production office. Review them at the start of every shift. Make the shift meeting 10 minutes instead of 45 because the data is already there.

Shops that track these ten metrics daily, using data from systems they already have, consistently outperform their own historical averages within 90 days. The floor does not change. The speed at which problems become visible changes, and that changes everything else.