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

Initial situation

  • A global leader in the chemical and semiconductor required support in measuring and improving employee satisfaction
  • The market environment was characterized by fierce competition for skilled workers
  • Qualified and talented employees were leaving the company, resulting in declining productivity
  • The company therefore urgently needed transparency regarding the satisfaction of its employees and the key drivers for long-term improvement

Achievements

0
Key areas for improving the eNPS identified
0 %
eNPS increased
0 %
of employees actively involved in improvement with their perspectives

Our approach

  • Develop and implement an annual survey to obtain comprehensive employee feedback
    • Benchmark employee satisfaction using eNPS
    • Use AI-supported NLP (natural language processing) methodology to quickly analyze the 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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