Improving employee satisfaction through AI-supported evaluation of surveys in the chemical industry

Initial situation

A global leader in the chemical and semiconductor industry needed support in surveying and improving employee satisfaction
The market environment was characterized by strong competition for skilled workers
Qualified and talented employees left the company, which led to a decline in productivity
The company therefore urgently needed transparency about the state of employee satisfaction and which drivers could be used to sustainably improve it

Core topics for improving the eNPS identified

eNPS increased

All employees actively involved in the improvement with their perspective

Develop and implement an annual survey to obtain comprehensive employee feedback
- Benchmark employee satisfaction with the help of eNPS
- Use AI-powered NLP (Natural Language Processing) methodology to quickly analyze original employee feedback and identify areas for improvement (qualitative)
- Communicate results transparently
Establish a program for targeted improvement projects and continuous improvement

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All cases

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