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Mouse jigglers can make basic activity dashboards report a user as active even when no useful work is happening. They are one reason activity percentage alone is a weak trust signal. Stronger systems compare input patterns with work context, app usage, screenshots, and session coherence.
An activity report shows a steady 96 percent across an eight-hour session, with input arriving at almost exactly 30-second intervals and pointer movement covering the same few pixels each time. Genuine work looks nothing like this: real input clusters and gaps, varies in magnitude, and is bursty. The uniformity is the tell, not the high number.
Responding by tightening activity thresholds. Raising a required activity percentage increases the incentive to use a jiggler while doing nothing to detect one, and it penalises the honest employee whose work is genuinely low-input. If the metric can be satisfied by a five-dollar USB device, the metric is the problem.
Most often because they are measured on a number that does not reflect their work, and the number has consequences. Deep work, reading, calls and thinking all register as inactivity, so people whose jobs involve those things face a choice between looking unproductive and generating input. Widespread jiggler use is a signal about the metric more than about the workforce.
Patterns consistent with automated input can be flagged, because generated input has a regularity human input lacks. Detection identifies a pattern worth a human looking at it, not a proven intent, and it should be treated that way.
Kyrospect is the first platform built explicitly around these principles for remote teams.
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