Bonuses, Leagues and Gamification

The obvious next step after scoring is rewarding it. The obvious next step is where most of the damage in this field occurs.

What happens when money is attached

People optimise the measure. Coasting to junctions, leaving longer gaps in ways that irritate other traffic, and in the worst cases choosing not to brake hard when they should.

Which means a measure that can make dangerous driving score well has stopped serving safety.

Reporting stops. A near miss that damages a bonus is not reported.

Disputes multiply, because a score that determines pay is a score that will be contested — and the formula is frequently proprietary.

And the route allocation becomes a pay decision, since the round dominates the score.

The league table problem

Public rankings humiliate the bottom and teach the top nothing.

The bottom is selected largely by route type, which everyone in the depot knows.

Which makes the table visibly unfair and discredits the programme that produced it.

What gamification actually does

Short-term engagement, reliably.

Sustained behaviour change, rarely, and the evidence for durable effects is weak.

And it interacts badly with the statistics: a driver rewarded for improvement is frequently being rewarded for regression to the mean.

If an incentive is used anyway

Reward the absence of collisions and near-miss reporting, not the score.

At team or depot level, which removes the route problem and encourages people to look out for each other.

With a floor rather than a ranking: everyone below a threshold of events qualifies, rather than the top ten percent.

And never attach it to a score whose formula cannot be shown.

What works better than incentives

A visible response to what the data shows — a junction fixed, a round resized, a vehicle changed.

Individual feedback that is private and specific.

And removing the disincentives: the schedule pressure, the acceptance targets, the penalty for stopping when tired.

Most fleets have more to gain from removing pressure than from adding reward.

The measure

Near-miss reports before and after any incentive is introduced.

A fall is the signal that the incentive is suppressing information, which is the most expensive possible outcome and the one nobody looks for.

Watch reporting before and after

The check nobody runs on an incentive scheme.

Near-miss reports per hundred thousand miles, measured before the bonus and after.

A fall means the incentive is suppressing information, which is the most expensive possible outcome.

It is also the one that looks like success on every other measure, which is why it has to be watched deliberately.

Follow the difficult record

Use this seasonal-work reference to frame one representative case. The useful evidence is the record created when a value is challenged, corrected, approved and exported.

Independent reference

For a thematic point of reference, see the Centers for Disease Control and Prevention. This established source is a useful independent reference for the issue discussed here.