Industrial/Organizational (I/O) Psychology is the study of human behavior in the workplace. I/O Psychologists improve hiring, training, and management by studying worker behavior, evaluating companies, and conducting leadership training. This work started in WWII, when lives were literally on the line to find the best candidate for a position. Scientists needed to develop selection methods that they knew would work to select officers and pilots, and place them into roles that were the best fit for their skills.
50+ years later, researchers in the I/O Psychology field continue to gather evidence that demonstrates which tools are the best predictors of performance. Today, this research is applied in the workplace primarily through non-scalable and expensive consulting services – meaning this deep insight is often reserved for vetting executives of Fortune 500 companies. But the introduction of AI to the I/O field could change all that.
AI offers scalable and efficient decision-making, so it’s no wonder that stretched HR & Talent professionals turn to AI to future-proof their talent processes and save resources. But not all AI is created equal; after all, the crux of AI is to mimic human decision-making – which can so often be unpredictive and biased. Plum’s Ultraviolet technology learns from the expertise of I/O Psychology selection methods proven to predict success and mitigate bias, such as problem-solving ability, social intelligence, and personality.
Before, organizations could only gain access to the deep insight of I/O Psychology through time-consuming and often costly consulting services. Now, with Plum, the certainty of predictive selection data is available to all.
Plum is the first talent data repository that doesn't treat its data as a one-time-use asset. We use the deep people insights we gain to benefit both the individual and the organization throughout the employee lifecycle. Our tools solve enterprise organizations' toughest talent acquisition and talent management challenges by providing predictive decision-making across a spectrum of use cases, such as...