Analysis of employee feedback & HR surveys with AI

This half-day workshop shows you how to leverage artificial intelligence to efficiently analyze employee feedback and HR survey results. Using real-world examples and hands-on exercises, you will learn to automate the collection, classification, and reporting of feedback.

Learning Objectives:

• Discover NLP techniques applied to survey feedback.
• Apply sentiment analysis to gauge tone and emotions in responses.
• Automatically extract key themes and trends from unstructured data.
• Generate interactive reports and dashboards to monitor workplace well-being.

Target Audience:
HR professionals, workplace well-being officers, managers, and analysts wanting to harness AI to better understand employees.

Duration:
½ day (9:00–12:30).

Number of Participants:
Maximum 12 participants.

Prerequisites:
Basic familiarity with survey tools (Google Forms, SurveyMonkey) and elementary data analysis concepts.

Program:

Morning: Fundamentals & Demonstrations

• Introduction to NLP and text mining for feedback analysis.
• Overview of tools and libraries (OpenAI, Hugging Face, etc.).
• Demo: theme extraction and sentiment scoring.

Workshop: Complete Analysis Pipeline

• Automated collection of survey responses from an online form.
• Processing and cleaning text data.
• Generating a summary report and dynamic charts.

Pricing:

• Open enrollment: €400 excl. VAT per participant
• In-house: on request, tailored to your needs

Methods Employed:

• Theoretical insights
• Guided practical workshops
• Real-world case studies

Evaluation:

• Knowledge validation quiz
• Group review of generated reports

Accessibility:
Our sessions are accessible to people with disabilities. Please contact accessibility@eurekia-learning.com to arrange accommodations.

Contacts:

• Quality referent: Jihane Khouzaimi (06 69 53 77 75 – contact@eurekia-learning.com)
• Pedagogical referent: Hatim Khouzaimi

Note:
This half-day workshop will enable you to industrialize feedback analysis to inform HR decisions and boost employee engagement.