WorkTango introduces AI Comment Themes and Summaries, using GenAI to streamline employee feedback analysis for faster decision-making.
WorkTango AI Comment Themes and Comment Summaries transform how organizations process open-ended survey responses. Traditional methods of analyzing employee feedback were time-consuming, requiring manual categorization of thousands of comments. With these GenAI features, surveys are analyzed instantly, saving HR teams weeks of effort and enabling quicker action on feedback.
AI Comment Themes automatically identifies key themes from open-text survey responses, eliminating the need for manual coding. When a survey closes, the system generates core themes in seconds, cutting months off the traditional analysis timeline. This allows leaders to address pressing employee concerns swiftly, improving engagement and operational decisions.
AI Comment Summaries condenses thousands of survey responses into clear summaries, complete with recommended actions. The feature even exports results into presentation-ready PowerPoint formats for seamless sharing. These capabilities are particularly useful for organizations with large workforces, like HumanGood, which processes feedback from over 5,000 employees across multiple locations.
Lastly, WorkTango ensures its AI features are accurate, unbiased, and compliant with regulatory standards. WorkTango’s GenAI features have undergone independent assessment by Armilla AI, ensuring accuracy and fairness. The evaluation confirms that the AI tools align with the National Institute of Standards and Technology’s (NIST) guidelines and comply with New York City’s Local Law 144, effectively analyzing comments without demographic bias. Consequently, for organizations hesitant about AI adoption, these features can be toggled off, offering flexibility in how employee feedback is managed. By leveraging GenAI, WorkTango modernizes the employee survey process, allowing companies to derive insights quickly and effectively.