Machine learning drives Kanjoya performance review software

Enterprises can use Kanjoya performance review software to obtain a synopsis of an employee's strengths, consensus on areas for improvement and a summary of all the feedback provided by people who review the employee. Elaine Chang, director of products at Kanjoya, based in San Francisco, said Kanjoya's natural language processing and machine learning algorithms continually analyze performance reviews as they are submitted inside the software. The cloud-based tool provides a simple dashboard that displays an employee's "opportunity areas," or items for improvement, and strengths. The performance review software can also present aggregated results for the company, including for each department. The software works best with a 360-degree review, which includes feedback, often confidential, from multiple sources such as managers, team members or subordinates.