Analyze employee training feedback
ENEOS Materials uses a custom GPT for training feedback. Reported task timings fell from one to two hours to 20 seconds; a separate aggregation tool reportedly reduced aggregation time by 90%.
Source checked: the source link is valid and the automated fact check passed. The summary is AI-assisted. This is not human verification. Check the original source before relying on its claims.
For whom
Enterprise HR teams; spreadsheet basics, no coding.
Not for
Unsuitable for unchecked employee assessments.
Brain Score
- Impact
- 2/2
- Evidence
- 1/2
- Reproducibility
- 2/2
- Maturity
- 2/2
- Reach
- 1/2
Five values from 0 to 2. The total has a minimum of 1. A reading aid based on the source, not an independently measured performance result. How the score works
Still current?
Partly, better ways exist
Today: Analyze feedback files in ChatGPT Work and migrate the custom GPT's instructions and reference files to a tested plugin ahead of retirement.
Augments or replaces?
Mixed
AI produces the feedback evaluation and a separate tool aggregates data, while HR decides how to change training.
Original source
- Type
- Vendor
- Published
- Data as of
The data date records when this dataset was included in the collection. It is separate from the publication date of the source.