Time Theft

In-Depth Definition

In remote and hourly work, time theft can include inflated manual timesheets, unattended timers, or automation that fakes activity. Good systems avoid assuming intent from one signal. They help reviewers compare claimed hours with evidence, context, and exceptions before making a decision.

How It Works in Practice

• The claim and the evidence are compared, rather than the evidence being read on its own: hours submitted against the activity, application context and session history for the same window.
• Patterns are weighed over time instead of single incidents, because one quiet afternoon is normal and a quiet afternoon every week is a question.
• Legitimate low-input work is accounted for explicitly, since calls, reading, whiteboarding and thinking all register as inactivity.
• A discrepancy opens a conversation rather than closing one, because the record shows what happened, not why.

A Worked Example

A contractor bills 8 hours. The session record shows the timer running from 09:00 to 17:00 with 4 minutes of total input, all of it identical small pointer movements at exactly 60-second intervals. The regularity is the signal, not the low activity: human work is irregular. A different contractor with 45 minutes of scattered input across a day spent on client calls is not doing the same thing at all.

The Common Mistake

Treating low activity as proof of theft. It is the single most damaging error in this area. A developer thinking through an architecture problem, a manager on back-to-back calls and a researcher reading documentation all produce very little input. Acting on the activity number alone punishes exactly the deep work most organisations say they want.