Measuring Employee Engagement with A.I. and Machine Learning – Dice Insights
A small number of companies have begun developing new tools to measure employee engagement without requiring workers to fill out surveys or sit through focus groups. HR professionals and engagement experts are watching to see if these tools gain traction and lead to more effective cultural and retention strategies.
Two of these companiesNetherlands-based KeenCorp and San Franciscos Cultivateglean data from day-to-day internal communications. KeenCorp analyzes patterns in an organizations (anonymized) email traffic to gauge changes in the level of tension experienced by a team, department or entire organization. Meanwhile, Cultivate analyzes manager email (and other digital communications) to provide leadership coaching.
These companies are likely to pitch to a ready audience of employers, especially in the technology space. With IT unemployment hovering around 2 percent, corporate and HR leaders cant help but be nervous about hiring and retention. When competition for talent is fierce, companies are likely to add more and more sweeteners to each offer until they reel in the candidates they want. Then theres the matter of retaining those employees in the face of equally sweet counteroffers.
Thats why businesses utilize a lot of effort and money on keeping their workers engaged. Companies spend more than $720 million annually on engagement, according to the Harvard Business Review. Yet their efforts have managed to engage just 13 percent of the workforce.
Given the competitive advantage tech organizations enjoy when their teams are happy and productivenot to mention the money they save by keeping employees in placeengagement and retention are critical. But HR cant create and maintain an engagement strategy if it doesnt know the workforces mindset. So companies have to measure, and they measure primarily through surveys.
Today, many experts believe surveys dont provide the information employers need to understand their workforces attitudes. Traditional surveys have their place, they say, but more effective methods are needed. They see the answer, of course, in artificial intelligence (A.I.) and machine learning (ML).
One issue with surveys is they only capture a part of the information, and thats the part that the employee is willing to release, said KeenCorp co-founder Viktor Mirovic. When surveyed, respondents often hold back information, he explained, leaving unsaid data that has an effect similar to unheard data.
I could try to raise an issue that you may not be open to because you have a prejudice, Mirovic added. If tools dont account for whats left unsaid and unheard, he argued, they provide an incomplete picture.
As an analogy, Mirovic described studies of combat aircraft damaged in World War II. By identifying where the most harm occurred, designers thought they could build safer planes. However, the study relied on the wrong data, Mirovic said. Why? Because they only looked at the planes that came back. The aircraft that presumably suffered the most grievous damagethose that were shot downwerent included in the research.
None of this means traditional surveys surveys dont provide value. I think the traditional methods are still useful, said Alex Kracov, head of marketing for Lattice, a San Francisco-based workforce management platform that focuses on small and mid-market employers. Sometimes just the idea of starting to track engagement in the first place, just to get a baseline, is really useful and can be powerful.
For example, Lattice itself recently surveyed its 60 employees for the first time. It was really interesting to see all of the data available and how people were feeling about specific themes and questions, he said. Similarly, Kracov believes that newer methods such as pulse surveyswhich are brief studies conducted at regular intervalscan prove useful in monitoring employee satisfaction, productivity and overall attitude.
Whereas surveys require an employees active participation, the up-and-coming tools dont ask them to do anything more than their work. When KeenCorps technology analyzes a companys email traffic, its looking for changes in the patterns of word use and compositional style. Fluctuations in the products index signify changes in collective levels of tension. When a change is flagged, HR can investigate to determine why attitudes are in flux and then proceed accordingly, either solving a problem or learning a lesson.
When I ask you a question, you have to think about the answer, Mirovic said. Once you think about the answer, you start to include all kinds of other attributes. You know, youre my boss or youve just given me a raise or youre married to my sister. Those could all affect my response. What we try to do is go in as objectively as possible, without disturbing people as we observe them in their natural habitats.
Read more:
Measuring Employee Engagement with A.I. and Machine Learning - Dice Insights
- Infleqtion Unveils Contextual Machine Learning (CML) at GTC 2025, Powering AI Breakthroughs with NVIDIA CUDA-Q and Quantum-Inspired Algorithms - Yahoo... - March 22nd, 2025 [March 22nd, 2025]
- Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals -... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning analysis of cardiovascular risk factors and their associations with hearing loss - Nature.com - March 22nd, 2025 [March 22nd, 2025]
- Weekly Recap: Dual-Cure Inks, AI And Machine Learning Top This Weeks Stories - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning aids in detection of 'brain tsunamis' - University of Cincinnati - March 22nd, 2025 [March 22nd, 2025]
- AI & Machine Learning in Database Management: Studying Trends and Applications with Nithin Gadicharla - Tech Times - March 22nd, 2025 [March 22nd, 2025]
- MicroRNA Biomarkers and Machine Learning for Hypertension Subtyping - Physician's Weekly - March 22nd, 2025 [March 22nd, 2025]
- Machine Learning Pioneer Ramin Hasani Joins Info-Tech's "Digital Disruption" Podcast to Explore the Future of AI and Liquid Neural Networks... - March 22nd, 2025 [March 22nd, 2025]
- Predicting HIV treatment nonadherence in adolescents with machine learning - News-Medical.Net - March 22nd, 2025 [March 22nd, 2025]
- AI And Machine Learning In Ink And Coatings Formulation - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Counting whales by eavesdropping on their chatter, with help from machine learning - Mongabay.com - March 22nd, 2025 [March 22nd, 2025]
- Associate Professor - Artificial Intelligence and Machine Learning job with GALGOTIAS UNIVERSITY | 390348 - Times Higher Education - March 22nd, 2025 [March 22nd, 2025]
- Innovative Machine Learning Tool Reveals Secrets Of Marine Microbial Proteins - Evrim Aac - March 22nd, 2025 [March 22nd, 2025]
- Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene... - March 22nd, 2025 [March 22nd, 2025]
- Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations -... - March 22nd, 2025 [March 22nd, 2025]
- 'We want them to be the creators': Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- New headset reads minds and uses AR, AI and machine learning to help people with locked-in-syndrome communicate with loved ones again - PC Gamer - March 22nd, 2025 [March 22nd, 2025]
- Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigation - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning-assisted wearable sensing systems for speech recognition and interaction - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning uncovers complexity of immunotherapy variables in bladder cancer - Hospital Healthcare - March 11th, 2025 [March 11th, 2025]
- Machine-learning algorithm analyzes gravitational waves from merging neutron stars in the blink of an eye - The University of Rhode Island - March 11th, 2025 [March 11th, 2025]
- Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods - Nature.com - March 11th, 2025 [March 11th, 2025]
- AI in Esports: How Machine Learning is Transforming Anti-Cheat Systems in Esports - Jumpstart Media - March 11th, 2025 [March 11th, 2025]
- Whats that microplastic? Advances in machine learning are making identifying plastics in the environment more reliable - The Conversation Indonesia - March 11th, 2025 [March 11th, 2025]
- Application of machine learning techniques in GlaucomAI system for glaucoma diagnosis and collaborative research support - Nature.com - March 11th, 2025 [March 11th, 2025]
- Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding - Nature.com - March 11th, 2025 [March 11th, 2025]
- Hugging Face Tutorial: Unleashing the Power of AI and Machine Learning - - March 11th, 2025 [March 11th, 2025]
- Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets - Astrobiology News - March 11th, 2025 [March 11th, 2025]
- AI to the rescue: Study shows machine learning predicts long term recovery for anxiety with 72% accuracy - Hindustan Times - March 11th, 2025 [March 11th, 2025]
- New in 2025.3: Reducing false positives with Machine Learning - Emsisoft - March 5th, 2025 [March 5th, 2025]
- Abnormal FX Returns And Liquidity-Based Machine Learning Approaches - Seeking Alpha - March 5th, 2025 [March 5th, 2025]
- Sentiment analysis of emoji fused reviews using machine learning and Bert - Nature.com - March 5th, 2025 [March 5th, 2025]
- Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy: a prospective, comparative, multicentre... - March 5th, 2025 [March 5th, 2025]
- JFrog and Hugging Face team to improve machine learning security and transparency for developers - SDxCentral - March 5th, 2025 [March 5th, 2025]
- Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning - Nature.com - March 5th, 2025 [March 5th, 2025]
- AI and Machine Learning Operationalization Software Market Hits New High | Major Giants Google, IBM, Microsoft - openPR - March 5th, 2025 [March 5th, 2025]
- FICO secures new patents in AI and machine learning technologies - Investing.com - March 5th, 2025 [March 5th, 2025]
- Study on landslide hazard risk in Wenzhou based on slope units and machine learning approaches - Nature.com - March 5th, 2025 [March 5th, 2025]
- NVIDIA Is Finding Great Success With Vulkan Machine Learning - Competitive With CUDA - Phoronix - March 3rd, 2025 [March 3rd, 2025]
- MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival - Nature.com - March 3rd, 2025 [March 3rd, 2025]
- AI and Machine Learning - Identifying meaningful use cases to fulfil the promise of AI in cities - SmartCitiesWorld - March 3rd, 2025 [March 3rd, 2025]
- Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency... - March 3rd, 2025 [March 3rd, 2025]
- Predicting Ag Harvest using ArcGIS and Machine Learning - Esri - March 1st, 2025 [March 1st, 2025]
- Seeing Through The Hype: The Difference Between AI And Machine Learning In Marketing - AdExchanger - March 1st, 2025 [March 1st, 2025]
- Machine Learning Meets War Termination: Using AI to Explore Peace Scenarios in Ukraine - Center for Strategic & International Studies - March 1st, 2025 [March 1st, 2025]
- Statistical and machine learning analysis of diesel engines fueled with Moringa oleifera biodiesel doped with 1-hexanol and Zr2O3 nanoparticles |... - March 1st, 2025 [March 1st, 2025]
- Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning - BMC Public Health - March 1st, 2025 [March 1st, 2025]
- The Evolution of AI in Software Testing: From Machine Learning to Agentic AI - CSRwire.com - March 1st, 2025 [March 1st, 2025]
- Wonder Dynamics Helps Boxel Studio Embrace Machine Learning and AI - Animation World Network - March 1st, 2025 [March 1st, 2025]
- Predicting responsiveness to fixed-dose methylene blue in adult patients with septic shock using interpretable machine learning: a retrospective study... - March 1st, 2025 [March 1st, 2025]
- Workplace Predictions: AI, Machine Learning To Transform Operations In 2025 - Facility Executive Magazine - March 1st, 2025 [March 1st, 2025]
- Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire - Nature.com - March 1st, 2025 [March 1st, 2025]
- Machine learning analysis of gene expression profiles of pyroptosis-related differentially expressed genes in ischemic stroke revealed potential... - March 1st, 2025 [March 1st, 2025]
- Utilization of tree-based machine learning models for predicting low birth weight cases - BMC Pregnancy and Childbirth - March 1st, 2025 [March 1st, 2025]
- Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size - Nature.com - March 1st, 2025 [March 1st, 2025]
- Wearable Tech Uses Machine Learning to Predict Mood Swings - IoT World Today - March 1st, 2025 [March 1st, 2025]
- Machine learning can prevent thermal runaway in EV batteries - Automotive World - March 1st, 2025 [March 1st, 2025]
- Integration of multiple machine learning approaches develops a gene mutation-based classifier for accurate immunotherapy outcomes - Nature.com - March 1st, 2025 [March 1st, 2025]
- Data Analytics Market Size to Surpass USD 483.41 Billion by 2032 Owing to Rising Adoption of AI & Machine Learning Technologies - Yahoo Finance - March 1st, 2025 [March 1st, 2025]
- Predictive AI Only Works If Stakeholders Tune This Dial - The Machine Learning Times - March 1st, 2025 [March 1st, 2025]
- Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a... - March 1st, 2025 [March 1st, 2025]
- A global survey from SAS shows that artificial intelligence and machine learning are producing major benefits in combating money laundering and other... - March 1st, 2025 [March 1st, 2025]
- Putting the AI in air cargo: How machine learning is reshaping demand forecasting - Air Cargo Week - March 1st, 2025 [March 1st, 2025]
- Meta speeds up its hiring process for machine-learning engineers as it cuts thousands of 'low performers' - Business Insider - February 11th, 2025 [February 11th, 2025]
- AI vs. Machine Learning: The Key Differences and Why They Matter - Lifewire - February 11th, 2025 [February 11th, 2025]
- Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression - Nature.com - February 11th, 2025 [February 11th, 2025]
- Climate change and machine learning the good, bad, and unknown - MIT Sloan News - February 11th, 2025 [February 11th, 2025]
- Theory, Analysis, and Best Practices for Sigmoid Self-Attention - Apple Machine Learning Research - February 11th, 2025 [February 11th, 2025]
- Yielding insights: Machine learning driven imputations to fill in agricultural data gaps in surveys - World Bank - February 11th, 2025 [February 11th, 2025]
- SKUtrak Promote tool taps machine learning powered analysis to shake up way brands run promotions - Retail Technology Innovation Hub - February 11th, 2025 [February 11th, 2025]
- Machine learning approaches for resilient modulus modeling of cement-stabilized magnetite and hematite iron ore tailings - Nature.com - February 11th, 2025 [February 11th, 2025]
- The Alignment Problem: Machine Learning and Human Values - Harvard Gazette - February 11th, 2025 [February 11th, 2025]
- Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data - Nature.com - February 11th, 2025 [February 11th, 2025]
- Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods - Nature.com - February 11th, 2025 [February 11th, 2025]
- Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008 -... - February 11th, 2025 [February 11th, 2025]
- Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation - Nature.com - February 11th, 2025 [February 11th, 2025]
- Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the... - February 11th, 2025 [February 11th, 2025]
- Unlock the Secrets of AI: How Mohit Pandey Makes Machine Learning Fun! - Mi Valle - February 11th, 2025 [February 11th, 2025]