Gaming: the Predictable Response
People manage the measure once it affects them. What that looks like here, and why calling it dishonesty is the wrong response.
Within weeks of deployment, measured behaviour changes. This is not a discipline problem; it is what happens when a number starts to matter.
The practical lesson in “Gaming: the Predictable Response” is to connect every record to a clear operational question without presenting visibility as certainty. Teams exploring how to detect mouse jigglers can review ways to identify mouse-jiggler activity as one source of time and project context, provided the purpose is disclosed and the configuration is reviewed with the people affected.
What it looks like
Mouse movers and scripts that simulate activity.
For an independent reference relevant to “Gaming: the Predictable Response”, consult the European Commission data-protection resources; it provides a useful external check on scope, terminology, governance and the claims made during procurement or review.
Documents kept open and scrolled during calls.
Work split into more, smaller visible actions.
Email sent at times that look good rather than when written.
Staying logged in during breaks.
And meetings attended with the application in focus, which is the most quietly corrosive one.
Why it is rational
The organisation announced that an indicator matters.
People optimise toward indicators that matter, in every field where this has been studied.
Somebody who ignores the measure is disadvantaged relative to somebody who manages it, which means the honest response is punished.
What it does to the data
Within months the figures describe awareness of the measure rather than work.
The gap between high and low scorers becomes a gap between those who adapted and those who did not.
Which inverts the intended signal, because the people most focused on their work are frequently the slowest to adapt.
The enforcement response and why it fails
Detecting mouse movers, prohibiting them, treating use as misconduct.
This produces a technical arms race the organisation cannot win and a workforce that now also conceals.
And it addresses the symptom of an incentive the organisation created, which is the definition of an unproductive control.
What it tells you
Widespread gaming is a finding about the measure.
Specifically: people do not believe the measure reflects their work, and they are usually right.
Treating it as information rather than as conduct is the response that leads somewhere, and it is rarely the one taken.
The honest options
Stop using the measure in anything consequential, which removes the incentive at source.
Or accept that the data is now about adaptation and stop drawing conclusions from it.
Both are better than enforcement, and the first is what organisations do after a year of the second.
The general rule
Any measure that determines an outcome for the people measured will eventually describe their response to it rather than the thing it was built to measure.
This is not specific to monitoring software.
It is specific to measuring people with numbers that affect them, and it is why the aggregate-only position is not merely ethical but practical.
What to check
Has anybody in your organisation bought a mouse mover?
Do people stay logged in during breaks?
Is gaming treated as misconduct or as information?
And would your figures survive being read as a measure of adaptation?