Telematics / Data & KPI Reporting · Excel template
Free Telematics Exception Report
A weekly rollup of telematics exceptions across speeding, harsh events, idle time, and geofence alerts: one view that shows which vehicles and drivers actually need attention. Use it alongside our fleet calculators to size the costs this template tracks, or browse fleet management software when you are ready to automate the workflow. See all downloads in the template library, and check the fleet glossary for any unfamiliar terms.
Built and reviewed by the FleetOpsClub research team. Preview it free below.
- A per-vehicle and per-driver weekly summary across every exception category your telematics platform tracks
- A week-over-week trend column, so a one-off bad day is separated from a developing pattern
- A threshold-breach flag for anything above the level your fleet has set as actionable
- A rollup total that ranks vehicles and drivers by exception volume, for a fast weekly scan
- Editable CSV. Yours to keep
- Print or save as PDF
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How to use it
- 1
Pull the week's exception counts by category (speeding events, harsh braking, harsh acceleration, excess idle, geofence exceptions) for every vehicle and driver, not just the ones you suspect had a bad week.
- 2
Compare against the prior week's totals so a spike is visible against that vehicle's or driver's own normal pattern, not just an absolute count.
- 3
Set a threshold per category above which a row is flagged as actionable, so the report highlights what needs review rather than listing everything with equal weight.
- 4
Rank the flagged rows by total exception volume for the weekly scan: this is what turns a wall of numbers into a five-minute review.
- 5
Record what was actually done about each flagged row: a coaching conversation, a note that it was reviewed and dismissed, or no action yet, so next week's report shows whether it recurred.
What's inside
- A per-vehicle and per-driver weekly summary across every exception category your telematics platform tracks
- A week-over-week trend column, so a one-off bad day is separated from a developing pattern
- A threshold-breach flag for anything above the level your fleet has set as actionable
- A rollup total that ranks vehicles and drivers by exception volume, for a fast weekly scan
- An actioned column tying each flagged row back to what was actually done about it
Preview the template
Here's a real sample of the layout — the actual columns and structure you'll work in. The complete template, plus the editable spreadsheet, unlocks the moment you enter your email.
Preview
Telematics Exception Report
Available exception categories and how they're defined depend on your telematics platform. Match the columns below to the categories your system actually reports.
| Driver / Vehicle | Speeding Events | Harsh Events | Excess Idle (hrs) | Geofence Exceptions | Total vs Last Week | Actioned |
|---|---|---|---|---|---|---|
| R. Alvarez / T-104 | 2 | 1 | 0.5 | 0 | Down from 6 | Reviewed, improving |
| D. Okafor / T-118 | 9 | 4 | 3.2 | 1 | Up from 5 | Coaching scheduled |
Frequently asked questions
Quick answers to the questions buyers usually ask once the category, software, or rollout details start getting more specific.
The dashcam and geofence review logs are the detailed, event-by-event record used for individual review and coaching decisions. This report is the weekly rollup across all exception types, built to answer a broader question fast: which vehicles and drivers need attention this week, out of the whole fleet. Use the rollup to decide where to look, then the detailed logs to actually look there.
That depends on your fleet's normal exception volume and risk tolerance, and it's worth setting from your own historical data rather than an external benchmark: a threshold copied from another fleet's operation can flag everyone or almost no one depending on how different the operating conditions are. Review and adjust the threshold after a few months of real data.
Because a driver with a consistently moderate exception count and a driver whose count just spiked from their own normal baseline need different responses, even if their raw totals for the week happen to match. The trend against each vehicle's or driver's own history is usually the more useful signal than an absolute number compared across the whole fleet.
Consistency helps: the same reviewer builds a sense of what's normal for each driver and vehicle over time, which makes a genuine spike easier to spot than it would be for someone seeing the data cold each week. If it has to rotate, keep the prior weeks' reports available so the incoming reviewer isn't starting from zero.