Bamboo HR Released “Employee Satisfaction with eNPS

The AI-powered reporting feature provides deeper insights into employee feedback and enhances leadership’s understanding of why employees are or aren’t satisfied at work.

By HRTech Series News Desk 

BambooHR, the cloud-based human resource platform where everything works together, announced today the first of several planned AI-powered product features: AI Topic Summaries for Employee Satisfaction with eNPS®*, which offers conveniently distilled AI analysis of all employee open response feedback into an impactful report.

“This has definitely made analysing our eNPS data faster,” said Andreea Dumitrescu, HR Manager at Progressive Automations. “Seeing everything at a glance with categories and topics has been so helpful, I love it!”

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The AI-powered reporting feature provides deeper insights into employee feedback and enhances leadership’s understanding of why employees are or aren’t satisfied at work. This launch helps lay the foundation for ongoing AI functionality delivery across the BambooHR platform that’ll further improve the work experience of BambooHR’s 34,000+ customers and their millions of global users.

“We are thrilled to introduce AI Topic Summaries for eNPS,” said Alan Whitaker, Head of AI at BambooHR. “This enhancement will empower organisations to listen and gain a dynamic understanding of employee feedback, enabling data-driven plans to improve employee experience. Our AI engine does the heavy lifting of synthesising key themes and categories from employee responses, saving hours of manual work. We’re committed to using AI responsibly to help set people free to do great work while not compromising on customer data security.”

The enhanced employee satisfaction report will also allow users to view eNPS scores by various demographics, including age, department, employment status, length of service, and location. This detailed breakdown will enable organisations to identify specific areas of improvement and tailor their response strategies accordingly.

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