Enter three figures from your income statement and seven quick preferences from your production manager. The tool turns them into a single efficiency gauge, a fit score, and a downloadable PDF report you can keep on file.
The Production Fit Gauge is a small, self-contained web diagnostic that cross-checks two very different signals about a production department: the hard numbers coming from the income statement, and the working style of the person running the floor. It was built for owners and HR teams who suspect that a manager's personal approach and the company's financial reality may be pulling in different directions — without needing an accountant or a psychologist in the room.
To answer one practical question: "Given how this company actually makes money, does the person running production have the right instincts for it?" — and to turn that answer into concrete, actionable guidance rather than a vague impression.
It derives a single efficiency ratio from three financial inputs, classifies the company into one of eight efficiency bands, and compares the manager's answers to seven behavioural questions against the profile that band statistically favours.
An on-screen breakdown plus a one-click PDF report — ready to attach to a personnel file, a consulting deliverable, or a board pack — with no sign-up, license, or fee.
The tool runs a fixed four-stage pipeline every time you submit the form. Because the order matters — each stage feeds the next — it's presented here as a numbered sequence.
Sales value, cost of sales/purchases, and total general expenses & depreciation, all for the same period (typically one fiscal year).
Net profit is sales minus costs. The efficiency ratio then weighs sales against half of total costs, relative to that net profit — see the exact formula below.
The ratio places the company into one of eight bands, from Losses to Excellent, each of which statistically favours a different management style — either quality-and-craft-focused (Group A) or volume-and-cost-focused (Group B).
Each of the seven behavioural questions is checked against the group the company's numbers favour. The result is a fit percentage and a question-by-question compliance list, exportable as a PDF.
All fields are required — the tool has no fallback values, since an incomplete profile would produce a misleading recommendation.
| Field | Type | Where to find it |
|---|---|---|
| Sales value | Number | Total revenue for the period, from the income statement. |
| Cost of sales / purchases | Number | Direct cost of goods sold or purchased, same period. |
| General expenses & depreciation | Number | Operating overhead and depreciation charges, same period. |
| 7 behavioural questions | Forced choice (×2 each) | Answered directly by the production manager — see the calculator below. |
Use consistent units and the same reporting period for all three financial figures — mixing a quarterly cost figure with an annual sales figure will distort the ratio.
Two numbers drive everything: net profit, and the efficiency ratio built from it.
The ratio is then mapped to one of these bands. Lower ratios reward precision and quality; higher ratios reward throughput and cost control.
The fit percentage in your results is simply the share of the seven questions where the manager's actual answer matches the profile their band favours — 100% means all seven align, 0% means none do.
A workshop reports $500,000 in sales, $250,000 in cost of sales, and $50,000 in general expenses & depreciation.
| Net profit | 500,000 − (250,000 + 50,000) = 200,000 |
| Efficiency ratio | (500,000 − 150,000) ÷ 200,000 = 1.75 |
| Band | Excellent (1 – 2) → Group A recommended |
If this company's production manager answered mostly with the "high-quality specifications / cooperative / deliberate" options, the fit score would land near 100% — a strong match. If they leaned toward "large quantity / directive / fast decisions," the mismatch would flag a coaching or hiring conversation worth having.
All fields are required. Leaving a question unanswered will be treated as a mismatch for that question.