Siena Consulting
Human Resources, Princeton, New Jersey, United States, 1-10 Employees
Who is SIENA CONSULTING
For both corporations and sports, Siena Consulting develops world-class assessment tools that improve performance in the workplace, identify diverse pools of candidates for employee selec...
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Headquarters: Princeton, New Jersey, United States
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Date Founded: 2002
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Employees: 1-10
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Revenue: Under $1 Million
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Active Tech Stack: See technologies
Industry: Human Resources
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Frequently Asked Questions Regarding Siena Consulting
Answer: Siena Consulting's headquarters are located at Princeton, New Jersey, United States
Answer: Siena Consulting's official website is https://sienaconsulting.com
Answer: Siena Consulting's revenue is Under $1 Million
Answer: Siena Consulting has 1-10 employees
Answer: Siena Consulting is in Human Resources
Answer: Siena Consulting contact info: Phone number: Website: https://sienaconsulting.com
Answer: For both corporations and sports, Siena Consulting develops world-class assessment tools that improve performance in the workplace, identify diverse pools of candidates for employee selection, develop future managers & executives, and predict athletic performance on & off-the-field. Siena Consulting was started with the belief that traditional measures of intelligence were overly simplified and relied too much on cultural context and book smarts; which leads to bias. By challenging this assumption, the founders redefined intelligence more broadly and developed revolutionary ways of measuring these psychological factors, with the additional benefit of minimizing bias. Theyve extended this approach into personality testing and motivation with the belief that understanding differences allows both individuals and organizations to work together to be their best. What Makes Us Different. Our Science. We start with science based on deep research from a board range of specializations like Developmental Psychology, Neuropsychology, Cognition, and Social Psychology. Data & Analytics. We constantly update predictive algorithms and use advanced multi-variate statistics as a means of continuously improving the science of measuring psychological factors that predict performance. Fairness/Unbiased. We test and re-test items and simulations to uncover measures that eliminate contextual advantages base on gender, ethnicity, socioeconomic or geographical differences.
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