The goal of any Personality AI technology, including Crystal, is to detect the most accurate possible personality profile for anyone, based on the information you have available. This elicits the question, “How can software accurately detect someone’s personality?”
Since every situation is different, there are multiple answers to that question. Sometimes, you can rely on tried-and-true questionnaire-style assessments. When that’s not an option, artificial intelligence makes it possible to analyze someone’s personality from other data like their writing style, social media, career choices, and more. With enough of this data, Crystal can make remarkably accurate predictions about someone’s motivations, behaviors, and communication styles. You can then use these insights to understand others better and communicate more effectively.
To share more details on how Crystal generates accurate personality insights, our prediction model is built around two main components:
- Analysis of publicly available information
We analyze a unique combination of publicly available information on LinkedIn including:
- Job title
- Skills
- Interests
- Industry experience
- and more - Anonymized results from personality tests
Our proprietary dataset of over hundreds of thousands of personality assessment results continues to validate and improve our prediction model.
Analysis of publicly available information
When public information is available, Crystal analyzes all available traits of a particular person on platforms like LinkedIn to identify strong POSITIVE and NEGATIVE signals that are mapped over to the well-validated personality framework, DISC.
For more information on how Crystal Predictions work, please visit our page: https://www.crystalknows.com/how-predictions-work
DISC is a four-factor personality framework dating back to the early 1900s that is very popular in management and coaching environments. Within Crystal, hundreds of thousands of people have now used this brief questionnaire to learn more about themselves and their personal communication styles.
Anonymized results from personality tests
Currently, based on data from thousands of responses, Crystal has a 97% accuracy rating when users complete personality tests. In cases when someone disagrees with an aspect of their assessment, they are able to retake it and provide specific input.
Which is most accurate?
While anonymized results from personality tests offers the highest accuracy (an average of a 97% accuracy rating), our Personality AI predictions that analyze publicly available data are not far behind at an 80% accuracy rating. As machine learning technology advances rapidly, Personality AI tools are making it more effective than ever to collaborate and build strong relationships with customers, prospects, coworkers, and friends.
Crystal’s overall goal is to provide the most accurate possible profiles for the largest amount of people, in any situation. By combining methods of machine learning and artificial intelligence, Crystal can deliver accurate personality profiles and insights for virtually any situation.
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