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Next Generation of the Perceptyx People Insights Platform Is Released

Next Generation of the Perceptyx People Insights Platform Is Released

The News: Employee experience solution company Perceptyx has announced new enhancements to its People Insights Platform. This latest version of the platform focuses on analytics and AI-driven recommendations that can help leaders take action more quickly. More information on the updated platform can be found on the Perceptyx website.

Next Generation of the Perceptyx People Insights Platform Is Released

Analyst Take: Perceptyx has been on a path over the past couple of years to deepen its capabilities, using artificial intelligence in thoughtful and practical ways as well as taking on the complex nuances of introducing intent and emotion into employee insights and analytics. In August of 2023, the company purchased Humu, a technology company that uses behavioral science to influence positive behavioral change and the previous year, purchased AI coaching platform Cultivate.

The improvements launched in this latest release of the company’s People Insights Platform show that Perceptyx is incorporating these growing capabilities, using them to help customers take in increasing amounts of data, but still be able to easily get to the most significant topics and trends so that relevant and empathic action can be taken.

Next Generation of People Insights Platform Introduces AI Insights Engine

Central to this release is the introduction of the AI Insights Engine, which is rooted in machine learning technology initially pioneered by Cultivate, a company acquired by Perceptyx in 2022. Acting as an AI-powered recommendation engine, it helps move along what can sometimes be a lagging process – that space between when data from employee listening programs is ingested, insights derived and action taken. These personalized insights and recommendations are delivered in a way that helps managers keep this drive towards action top of mind and in their flow of work.

Elevating Analytics with Emotion Model

Perceptyx has been working to help customers deepen employee understanding by using intent detection so that not just the words are examined, but the feelings behind them can also be uncovered. In April 2023, the company introduced intent detection and analytics with the ability to identify five unique intents: angry & unfair, praise & approval, wants & preferences, needs & concerns, should and suggestions. This new platform evolution brings in another layer to this, with the capability to take in employee comments and decode employee feelings. This Emotion Model looks at six different emotions: love, joy, surprise, fear, anger and sadness. Tapping into this undercurrent will provide managers with improved context to respond with more empathic and relevant action.

Analytics Studio and AI Hub

These two enhancements help companies take a broader view by bringing in more inputs, while also providing a better user experience with improved dashboards. The Analytics Studio helps to support People Insights Platform power users improve their user experience and save time. Users can design and share targeted dashboards on the key topics and themes coming from employee surveys. NLP models support advanced analytics that help delve into more specific experiences, needs, and suggestions.

In the experience space, both for customers and employees, the need to take in signals and feedback from a variety of sources is of the utmost importance. It helps to create a more comprehensive view of employee experience than just using internal information. However, it can be problematic to take in that amount of data without the appropriate structures in place to help make sense of it all. The AI Hub takes aim at that challenge by allowing organizations to use Perceptyx NLP models to take in comments from outside of the platform such as comments left on review sites or Glassdoor and process them.

The collection of data is becoming commoditized in the EX market, but it is that data that fuels the information flow that uncovers successes, failures, and areas of growing concern. And unlike when customers give feedback without any sort of fear of repercussion, for employees, there is sometimes an undercurrent of concern in leaving open ended comments, so it’s a more difficult exercise to get to what the sentiment really is, as sometimes the written word doesn’t match the feeling.

Keeping a pulse on employee sentiment and satisfaction is important, not just from the risk of employee attrition, but also because of the impacts on business performance. Using artificial intelligence so that employers can move through the insights to action cycle faster is a use case that will become even more important as the amount of channels feedback can be left on increases but employees’ expectations for action remain high.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other Insights from The Futurum Group:

Companies Still Investing in Employee Listening Programs

CX M&A: New Acquisitions by Five9, Payoneer, Perceptyx, and Gainsight

Customer Wins for UJET, Sprinklr, Perceptyx, InMoment, and Pisano

Author Information

As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.

She brings more than 20 years of experience in technology research and marketing; prior to her current role, she was a Research Analyst at Omdia, authoring market and ecosystem reports on Artificial Intelligence, Robotics, and User Interface technologies. Sherril was previously Manager of Market Research at Intrado Life and Safety, providing competitive analysis and intelligence, business development support, and analyst relations.

Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.

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