Understanding Selection Processes
Why this tool?
Hiring the right people is crucial for any organization, but traditional hiring methods can be biased or inconsistent. In practice, decisions are often based on experiences and intuition rather than facts. This comes with the risk of making them biased and less effective.
What do we know from research?
Algorithms are step-by-step instructions or rules that help make decisions based on data. Research shows that using such algorithms in hiring is much more accurate than relying on gut feeling. They help reduce bias, ensure fairness, and make hiring more objective. However, many hiring managers don’t know how to design these systems or understand how different choices affect the final decision.
“By understanding how selection algorithms work, we empower organizations to make smarter, more objective hiring decisions.”
How can this tool help you?
This app allows users to test various algorithmic selection strategies, receive real-time feedback on their decision accuracy, and understand how different methods impact hiring outcomes. By experimenting with different strategies, users can refine their selection processes, leading to more objective, reliable, and valid hiring decisions. Organizations can apply these insights to optimize recruitment, ensuring they select the best candidates in a scientifically grounded and unbiased manner.
Find out more
• Meijer, R. R., Neumann, M., Hemker, B. T., & Niessen, A. S. M. (2020). A tutorial on mechanical decision-making for personnel and educational selection. Frontiers in Psychology, 10, 3002.