Industry
Mining KPIs
Pre-built KPI trees for Mining. Each tree starts at a North Star metric and breaks down into the drivers and leading indicators your teams can act on.
KPI trees
EBITDA Margin Driver Tree
L0 · EBITDA Margin · 8 metrics
Trace EBITDA margin back to gross margin, operating expense discipline and working drivers.
Mining EBITDA
L0 · Mine-Site EBITDA · 14 metrics
Drive mine-site EBITDA from ore mined, grade and recovery through to unit cash costs and fleet availability.
Cost of Poor Quality (COPQ)
L0 · Cost of Poor Quality (COPQ) · 20 metrics
Expose the hidden cost of defects by decomposing COPQ into internal failure, external failure, appraisal and prevention costs.
Key Mining metrics
| Metric | Formula | Type |
|---|---|---|
| EBITDA Margin | EBITDA ÷ Revenue | Lagging |
| Gross Margin | (Revenue − COGS) ÷ Revenue | Lagging |
| OpEx as % of Revenue | Operating Expenses ÷ Revenue | Lagging |
| Mine-Site EBITDA | Revenue − Cash Operating Costs − Royalties | Lagging |
| Payable Metal Revenue | Payable Metal Produced × Realized Price | Lagging |
| All-In Sustaining Cost (AISC) per Unit | (Cash Costs + Sustaining Capex + G&A) ÷ Units Sold | Lagging |
| Cost of Poor Quality (COPQ) | Internal Failure + External Failure + Appraisal + Prevention Costs | Lagging |
| Internal Failure Costs | Scrap + Rework + Retest + Downtime from defects | Lagging |
| External Failure Costs | Warranty + Returns + Claims + Recalls | Lagging |
| Appraisal Costs | Inspection + Testing + Audit Costs | Lagging |
| Prevention Costs | Training + PM + Quality Planning + Supplier Qualification | Leading |
From library to execution
A KPI tree on paper is a plan. In KPI Fire it's a system.
Import any tree, assign metric owners, connect data, and launch improvement projects the moment a leading indicator drifts.
- Live scorecards & catchball
- Strategy deployment (Hoshin)
- Kaizen & project tracking
- Automated red/green alerts
- See KPI Fire in action