Assessing candidates’ experience

The client collects large amounts of candidates’ feedback data during the recruitment process and was looking for ways to analyze the data received through a survey. The firm was looking for:

• Automated tool to analyze candidate feedback as opposed to doing it manually.
• Generate relevant insights from the analyzed data to improve the candidate recruitment experience.

Infomineo’ s Data Analytics team addressed the client’s challenges by:

• Conducting sentiment analysis using the state-of-the-art language model Roberta to analyze candidate feedback and extract the overall sentiment.
• Using AI-powered text summarization through Open AI’s GPT-3 to extract key insights from candidate comments, focusing on areas of concern such as discrimination and unprofessionalism and showing the specific comments.
• Creating a Dashboard : Allowing for easy filtering of feedback and candidate sentiment.

• The analysis provided the client with a comprehensive overview of candidate sentiments, enabling them to identify areas of strength and areas for improvement in the recruitment process.
• In addition, the results of the analysis enabled the client to re-evaluate its recruitment procedures and make data-driven decisions to improve the candidate experience at the global, regional, country and departmental level.
• The results also helped the client develop new perspectives on the power of AI-powered tools in streamlining and enhancing the analysis of large datasets.