Just as an onion has many layers, so do the candidates you’re interviewing. If you really want to know who you’re hiring, you’ll need to peel back the layers … but how?
First of all, we have to determine what we want to learn about them. Will their past work experience be a predictor of their success at your company? Sometimes, but not always. Is their knowledge a good predictor of their success? Sometimes, but not always. Are their behaviors an important predictor of success? Always. So why do we relentlessly focus on someone’s experience and knowledge, but seldom learn about what makes her tick?
Read the full article here.
Originally published on ere.net by Randall Birkwood.
In the dynamic landscape of manufacturing, the year 2024 marks a significant leap forward, driven by advancements in Artificial Intelligence (AI) and automation.
The assembly line is a critical segment of the manufacturing process where the real action takes place.
Today’s business landscape requires an increasing emphasis on sophisticated designs and advanced systems. Businesses are always on
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In the dynamic landscape of manufacturing, the year 2024 marks a significant leap forward, driven by advancements in Artificial Intelligence (AI) and automation.
The assembly line is a critical segment of the manufacturing process where the real action takes place.
Today’s business landscape requires an increasing emphasis on sophisticated designs and advanced systems. Businesses are always on