Body content goes here.
Build a decision system
- Define the population, period, unit and exclusions for every KPI.
- Pair outcome metrics such as cost with leading indicators such as compliance.
- Show missing data and denominators instead of hiding them inside averages.
- Assign an action and owner before adding a metric to the dashboard.
1. Start with a balanced fleet scorecard
Use one or two measures for safety and compliance, availability, cost, fuel and data quality. A scorecard dominated by cost can reward deferred maintenance; one dominated by activity can celebrate work without showing whether the fleet improved.
| Dimension | Core measure |
|---|
| Safety and compliance | Failed inspections and valid required documents |
|---|
| Availability | Ready-for-work days divided by planned operating days |
|---|
| Maintenance | Preventive work completed on or before its due trigger |
|---|
| Fuel | Efficiency and fuel cost per distance unit |
|---|
| Economics | Total operating cost and cost per kilometre |
|---|
2. Write the formula before building the chart
Document numerator, denominator, period, timezone, currency and eligibility. Decide whether a vehicle with no distance is excluded, shown separately or counted as unavailable. That definition is part of the metric, not implementation detail.
Preventive-maintenance compliance
work completed by its due date or distance ÷ preventive work due in the period × 100
Do not count cancelled duplicate tasks as completed work.
- Availability = ready-for-work days ÷ planned operating days × 100
- Document compliance = valid required documents ÷ required documents × 100
- Fuel efficiency = distance travelled ÷ fuel consumed
- Cost per kilometre = in-scope cost ÷ trustworthy distance
Related readingFleet total cost of ownership: calculator, formula and decisions→3. Compare compatible vehicles
Segment by vehicle class, duty, route type, fuel type and lifecycle stage before ranking. A blended fleet average can make efficient heavy vehicles look poor and underused light vehicles look excellent.
- Compare against the vehicle’s own recent baseline first.
- Use cohort medians when a few extreme values would distort the mean.
- Show active vehicle count beside any fleet-wide rate.
- Keep market currency and fuel-volume units explicit.
4. Match each KPI to a review cadence
Operational exceptions need daily or weekly attention; lifecycle and budget trends need a stable monthly or quarterly view. Changing the date window during a meeting makes comparisons unreliable.
| Cadence | Review |
|---|
| Daily | Safety failures, overdue work and document expiries |
|---|
| Weekly | Unresolved exceptions, due-soon work and unavailable vehicles |
|---|
| Monthly | Fuel, maintenance, availability and cost trends |
|---|
| Quarterly | Replacement candidates, targets and supplier performance |
|---|
5. Put data quality on the dashboard
A precise-looking KPI built from missing odometers or unmatched cards is still wrong. Publish completeness beside the result: vehicles covered, missing readings, unreconciled transactions and the time of the last refresh.
When the data is insufficient, say so. An honest unavailable result protects better decisions than a fleet average substituted without evidence.
As featured in