AI training for quality engineers: writing clear defect descriptions

Scratches near the edge, cause unknown

An inspector examines a panel during the pre-packing inspection. In the note they identified the panel, recorded scratches near one edge and attached a photo. Nobody saw when the scratches appeared. The first draft prepared with AI reads: „Panel damaged in transit.” Transit is a guess, and the draft has lost the location and the stage of the observation.

The corrected description from the exercise:

During the pre-packing inspection, scratches were found near one edge of the identified panel. The attached photo shows their position. When they appeared has not been established. To clarify: could they have appeared during transport?

A colleague from production reads the text and says what they will examine and what they still do not know. In the second trial another panel has a dark mark in the middle of its surface. The author removes the scratches and the question about transport from the earlier draft, because the new note gives no basis for it.

What it costs and when it pays back

We measure the hours in the scenario before the training and after 30 days, on the same team tasks. If after a month checking AI texts takes as long as writing from scratch, we change the exercises or the scope of the tool.

According to a study in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%. For nonconformity descriptions we also count the reports that came back with a question about the location on the product.

When fixing the form is enough

Quality systems usually have fields for the product, the type of problem and notes in the nonconformity record. If descriptions are weak because there is no field for the location or the inspection stage, fixing the form is enough. Training makes sense when the form is good but engineers writing with AI turn observations into causes. Invented records can be used for the exercises, and for material from the plant we agree what may be shared in the tool, including photos and product markings. Grouping many reports is covered in the article on sorting quality complaints.

Where to start

The inspector supplies the note, the quality engineer turns it into a report, and a colleague from production reads the description as the reader. For the call, bring a nonconformity description after which production had to ask about the location or the cause. We run the workshop as part of team training. For the free analysis, a description of one task the team does every week and of the tools it uses is enough. You get the written training programme within 2 working days.