Most mining maintenance KPI dashboards fail for the same reason — they were built to display data, not trigger a decision. A superintendent scrolling past forty tiles every morning isn't managing performance, they're just watching numbers move. Here are the six metrics actually worth daily attention, how to define them so they hold up across shifts and sites, and the review cadence that turns a dashboard into something that drives action instead of just reporting it.
What a World-Class Dashboard Actually Shows
Pick a maintenance program stage. See how the six KPIs that matter most shift as a program matures.
The Six Mining Maintenance KPIs Worth Daily Attention
Every metric below should trigger a specific action when it moves — if a KPI doesn't change what someone does that day, it doesn't belong on a daily dashboard, no matter how easy it is to calculate.
Equipment Availability by Class
Operating hours ÷ scheduled hours, tracked per equipment class
Drives: Same-day dispatch and repair-priority decisions when a class dips below target.
Gaming risk: Excluding "standby" or "awaiting parts" time from the denominator inflates the number without fixing anything.
PM Compliance Rate
PMs completed on time ÷ PMs scheduled
Drives: Whether the PM schedule is realistic and planners have the capacity to execute it.
Gaming risk: Marking a PM "complete" to hit the number while the actual work gets deferred or rushed.
Planned Work Percentage
Planned work-order hours ÷ total maintenance hours
Drives: The proactive-versus-reactive balance of the whole maintenance operation.
Gaming risk: Reclassifying reactive work as "planned" after the fact to protect the ratio.
Backlog Size & Aging
Open work orders, broken out by time unassigned or unresolved
Drives: Whether backlog is growing (a capacity problem) or aging (a prioritization problem) — two different fixes.
Gaming risk: Closing old work orders without completing them just to shrink the count.
Defect-to-Repair Cycle Time
Time from defect first reported to work order closed
Drives: Whether reported defects actually get resourced, not just logged and forgotten.
Gaming risk: A long gap between "reported" and "work order created" that hides the true cycle time.
Maintenance Cost per Operating Hour
Total maintenance spend ÷ operating hours, by asset class
Drives: Whether maintenance spend is buying more availability, or just absorbing more failures.
Gaming risk: Deferring cost into a later reporting period to make the current one look better.
Every one of these six has a matching gaming risk because every one of them is a proxy for something harder to measure directly — actual equipment reliability. Book a demo to see all six calculated the same way, every time, from the same underlying work order and meter data, instead of a spreadsheet formula that quietly drifts between reporting periods.
Definition Discipline: Why the Same KPI Name Can Mean Different Things
A KPI is only useful if it means the same thing everywhere it's reported. "PM compliance" calculated loosely on night shift and strictly on day shift isn't two data points on a trend line — it's noise wearing a KPI's name. The same problem shows up in multi-site rollups: without one written definition for what counts as "on time," what counts as "planned," and when the backlog-aging clock actually starts, a corporate summary is comparing numbers that were never the same measurement in the first place. Write the definition down, apply it identically across every shift and site, and revisit it only on a scheduled basis — not every time a number looks worse than someone would like.
The Review Cadence That Actually Works
Short, exception-only, ten to fifteen minutes. Which metrics moved outside threshold overnight, which specific assets need a dispatch or repair-priority decision today, and nothing that doesn't require action before the shift starts.
Deeper and slower. Rolling three-to-six-month trend lines, recurring root-cause patterns across the backlog, cost-per-hour trending by asset class, and whether it's time to reset a target as the program matures.
Pairing these two cadences is what separates a dashboard from a report: the daily view catches what needs a decision today, and the monthly view catches the slower pattern that a daily glance will always miss.
Exception-Based Reporting: Protecting the Superintendent's Attention
A dashboard that shows forty green, yellow and red tiles every morning trains its audience to stop looking closely — attention is a limited resource, and a superintendent scanning the same wall of metrics daily will eventually skim past the one that actually matters. Exception-based reporting flips the default: nothing gets surfaced unless it's crossed a defined threshold, so the daily view is short by design, and a metric sitting on the dashboard is inherently a signal that something needs a decision, not background noise to filter out. Sign up free to set thresholds once and let the exception list build itself, instead of scanning a full metric wall every morning.
From KPI Movement to Corrective Action
A KPI that moves without a named owner, a stated root cause and a re-check date isn't being managed — it's being observed. The dashboard's real job is forcing that four-step loop to close every time, not just displaying the number that triggered it.
What a Maintenance Superintendent Actually Has to Defend Internally
We had a dashboard with over thirty tiles and I genuinely couldn't tell you which five actually mattered on a bad day. Cutting it down to six, with hard definitions everyone uses the same way, was the uncomfortable part — people wanted to keep the metrics that made them look good. But once corporate could see the same six numbers calculated identically across every site, the conversation in our reviews changed from arguing about the number to talking about what to do about it.
The Takeaway
A mining maintenance KPI dashboard earns its place on a superintendent's screen when it does three things: tracks a small set of metrics that each drive a specific action, defines every one of them consistently across shifts and sites, and pairs a short daily exception review with a deeper monthly trend review. Everything beyond that — more tiles, more colors, more charts — is decoration that competes with the numbers that actually matter for attention. Sign up free and build a six-metric dashboard that survives contact with a bad shift.
Frequently Asked Questions
What are the most important mining maintenance KPIs to track daily?
The six worth daily attention are equipment availability by class, PM compliance rate, planned work percentage, backlog size and aging, defect-to-repair cycle time, and maintenance cost per operating hour. Each one should trigger a specific action when it moves outside its normal range — if a metric doesn't change what someone does that day, it belongs in a monthly trend review instead of a daily dashboard.
How is PM compliance different from planned maintenance percentage?
PM compliance measures whether preventive maintenance tasks that were scheduled actually got completed on time (PMs completed on time ÷ PMs scheduled). Planned work percentage measures a broader question — what share of total maintenance hours across the whole operation was planned versus reactive. A site can have high PM compliance on a thin PM schedule while still running mostly reactive overall, which is why both metrics need to be tracked together rather than treated as interchangeable.
How should maintenance backlog aging be measured?
Backlog aging should track how long each open work order has sat unassigned or unresolved, not just the total count of open orders. A growing backlog usually signals a capacity problem — not enough labor hours to keep pace with demand — while an aging backlog (a steady count but increasing average age) usually signals a prioritization problem, where lower-priority work never gets scheduled. Since these point to different fixes, tracking both size and aging separately matters more than a single backlog number.
How often should mining maintenance KPIs be reviewed?
Most operations benefit from pairing two cadences: a short, exception-based daily review covering metrics that moved outside threshold overnight and need a same-day decision, and a deeper monthly review covering rolling trend lines, recurring root causes and cost trending by asset class. The daily review should take ten to fifteen minutes and focus only on exceptions; the monthly review is where targets get reassessed as the maintenance program matures.
How can maintenance KPIs be gamed, and how do you prevent it?
Common gaming patterns include marking PMs complete without doing the full scope of work, reclassifying reactive work as planned after the fact, closing aged work orders without resolving them, and delaying when a defect gets logged to shorten the apparent repair cycle time. Preventing this relies on consistent, written KPI definitions applied identically across shifts and sites, calculating metrics automatically from underlying work order and meter data rather than manual entry, and reviewing definitions on a scheduled basis rather than adjusting them reactively when a number looks unfavorable.
Build a Mining Maintenance KPI Dashboard That Drives Action
HVI's Analytics and Reporting calculates availability, PM compliance, planned work, backlog aging, cycle time and cost per hour consistently across every asset and area, with defect dashboards and Expense Track and Cost Analysis behind every number — ready for the daily stand-up or the monthly review.
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