IBM Watson Personality Insights service produces inferred personality characteristics from text that was authored by an individual. It does this by using machine learning models gleaned from people’s written text and their corresponding psychometric surveys. The service was made generally available in February 2015 and has since been used by various businesses to better understand their customers, to create enriched customer segments and to offer more personalized products and services.
The service uses linguistic analytics to infer individuals’ intrinsic personality characteristics, including Big Five, Needs, and Values, from digital communications such as email, text messages, tweets, and forum posts. The service can automatically infer, from potentially noisy social media, portraits of individuals that reflect their personality characteristics. It can also determine individuals’ consumption preferences, which indicate their likelihood to prefer various products, services, and activities.
At Courseplay, we’re using the same proven machine learning models and applying them to a corporate scenario to allow companies to better understand their employees at a deeper level. It can help businesses improve employee satisfaction, talent acquisition, retention, and engagement.
To learn more about the science behind the service, click here:
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