Quick Take: Keep The Human Touch When Automating Human-Production Data

A production dashboard flags an operator for low output. The supervisor sees a red number and prepares a warning. Before that number becomes a personnel decision...someone needs to ask what happened on the line.

Consider a fictional example: an operator spends part of the shift training a colleague, then waits for maintenance to restart a machine. The system records fewer completed units. It may be counting accurately while leaving out the reason.

The manager’s job is to fill that gap. Check the measurement period, assigned tasks, downtime and any change in the work. Ask the operator for an explanation while the shift is still fresh. Keep that account alongside the data, including points that remain disputed.

This does not mean ignoring the dashboard or excusing every missed target. It means checking whether the comparison is fair. Two operators may appear to have the same assignment while one is covering a different task, using different equipment or following a changed instruction.

If a warning is still justified after review, record the specific reason. If the alert reflects an operational problem, route it to the person who can fix it. Avoid quietly overwriting the original report; preserve the correction and its explanation through the appropriate recordkeeping process.

Decide who owns this review before the first alert arrives. Operations understands the work. HR needs the context behind the proposed action. The employee should know whom to contact when the record misses something.

A dashboard can identify a result worth investigating. It cannot conduct the conversation that makes that result useful.

George S. Azadian, California employment attorney and president of Azadian Law Group, PC

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