登录查看更多内容

What are the best practices for using AI to analyze and improve employee engagement surveys?

由人工智能和领英社区提供技术支持

Employee engagement surveys are a valuable tool for measuring and improving the satisfaction, motivation, and performance of your workforce. But how can you make the most of the data you collect and use it to drive positive change? In this article, we will explore some of the best practices for using AI to analyze and improve employee engagement surveys.

本文章的要点总结

Leverage natural language processing:

NLP can analyze open-ended survey responses to uncover themes and sentiments. This helps you understand employee emotions and opinions, leading to more targeted engagement strategies.### *Utilize machine learning:ML can classify and correlate survey data, revealing hidden patterns and trends. Applying these insights allows you to address specific drivers of engagement more effectively.

本摘要由 AI 和以下专家提供支持

1 Why use AI for employee engagement surveys?

AI, or artificial intelligence, is the capacity of machines to execute tasks that usually require human intelligence, such as understanding language, recognizing patterns, and making decisions. AI can be of great help when it comes to analyzing and improving employee engagement surveys, by automating the process of collecting, processing, and reporting survey data, thus saving time and resources. Moreover, it can provide a deeper understanding of the sentiments, emotions, and opinions of your employees, beyond simple ratings and scores. It can also identify the key drivers and barriers of employee engagement, as well as the areas that need improvement or recognition, and generate personalized and actionable recommendations for improving employee engagement, based on the survey results and best practices.

添加您的观点

Dr. Tim Buividas

Culture Transformation Strategist / Leadership Coach / Team Development Facilitator / Professor
举报内容
One of the concerns that AI may be able to address is that employee engagement has been measured now for about 20 years and with 20 years of interventions we are not seeing substantial improvement. So the question that AI may help us address is whether we are using the correct measures or not. A switch in measures may lead us to more effective interventions.

已翻译

赞
Marc Effron

President, Talent Strategy Group; Harvard Business Review book author: One Page Talent Management & 8 Steps to High Performance
举报内容
The most popular AI tools (CHatGPT and Edge) can't accurately answer many basic questions about human psychology where the answer is well established. My favorite test is "Are men or women more prevalent in the lower 1% of IQ?" The answer is "men," but both engines provide equivocal statements that don't answer the question and try to explain how IQ works, that it's not a perfect measure, etc. Why would I trust AI to advance our thinking on engagement when it seems unable to correctly identify well-known facts in this field?

已翻译

赞
Srini Gundelli

Helping you build a team of High-Potential Leader's
举报内容
I agree, but also cringe with the thought that AI might still provide a somewhat inaccurate or a biased outcome. For now, the AI tools are not ready yet or perhaps the neural networks are not trained in such a way yet to provide deeper understanding of emotions and sentiments of those employees in a consensus.

已翻译

赞
Christopher Lind

Bridging Business, Technology & Human Experience | Executive Advisor | Business & Product Transformation | Devoted Husband and Father of 8
举报内容
Treat AI like a team of brilliant interns and you’ll quickly see the value for employee engagement surveys. Use it for automating decisions or implementing interventions and you’ll quickly regret your life choices. AI is fantastic when supervised and used to augment and accelerate your best practices, not replace them. Scouring the data for patterns, coming up with ideas/suggestions, and personalizing reports and messaging are just a few ways it can dramatically improve the work while adding value.

已翻译

赞

2 How to design an AI-powered employee engagement survey?

Designing an AI-powered employee engagement survey requires careful consideration. To ensure success, you must first define your goals and objectives, and then choose the right questions and formats. A mix of open-ended and closed-ended questions, as well as rating scales and multiple-choice options, will capture both quantitative and qualitative data. Additionally, it is important to keep the survey short and simple, with clear and concise language that is easy to understand and answer. To ensure accuracy, test the survey with a small sample of employees and use their feedback to refine the survey and eliminate any errors or issues.

添加您的观点

Christina Rasieleski

People-centered HR Leader I Driving Engagement & Retention I Thought Leader in Organizational Culture and Engagement
举报内容
AI could make recommendations about wording of questions to ensure they aren’t double-barreled or leading. It could also suggest questions that are aligned to your business and talent strategy.

已翻译

赞

3 How to use AI to analyze your employee engagement survey data?

Once you have collected your survey data, you can leverage AI to analyze it and uncover meaningful insights. There are various AI tools and techniques available to you, depending on your needs and preferences. Natural language processing (NLP) enables machines to comprehend and generate natural language, such as text and speech, allowing you to analyze open-ended responses of your employees and detect the key themes, sentiments, emotions, and opinions expressed. Machine learning (ML) enables machines to learn from data and enhance their performance without explicit programming, allowing you to classify, cluster, and correlate your survey data and discover patterns, trends, and anomalies that may have otherwise gone unnoticed. Data visualization enables machines to present data in graphical or pictorial forms, such as charts, graphs, and dashboards, allowing you to summarize and communicate your survey results and insights in a comprehensible and captivating manner.

添加您的观点

Felipe Cofi?o

LinkedIn Top Voice ?? Emphasizing the Human in HR ?? Human Resources Exec ?? Int’l Best Selling Author ?? Executive Recruiter & Coach ?? People & Culture Leader ?? Workplace Wellness ?? L&D Trainer ?? SHRM ?? Bilingual
举报内容
AI like ChatGPT can assist you in analyzing data from your employee survey, specifically with the comments section. The comments from employees can have common themes that you don’t want to miss. If you take all the employee comments & drop them into ChatGPT, you can then ask it to search for common themes. Once it provides you these results, you can follow up by asking it for recommendations to address these common concerns or requests. You can then ask ChatGPT to create talking points to use during the group discussion sessions with the employees. When using any AI, it’s recommended to inspect what you expect. Don’t just copy & paste!

已翻译

赞

4 How to use AI to improve your employee engagement survey actions?

The final step of using AI to analyze and improve your employee engagement surveys is to take action based on the insights and recommendations you receive. AI can be used to personalize feedback and recognition, prioritize interventions and initiatives, and monitor and measure progress and impact. For example, AI can generate personalized messages, rewards, and incentives for employees based on their survey responses and performance. Additionally, AI can rank the drivers and barriers of employee engagement, and compare survey results over time to measure changes and improvements in employee engagement levels and indicators. By utilizing AI to its fullest potential, you can ensure that your employee engagement surveys are as effective as possible.

添加您的观点

Talent Management

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the best practices for using AI to analyze and improve employee engagement surveys?

1

2

3

4

1 Why use AI for employee engagement surveys?

2 How to design an AI-powered employee engagement survey?

3 How to use AI to analyze your employee engagement survey data?

4 How to use AI to improve your employee engagement survey actions?

Talent Management

给文章评分

感谢您的反馈

更多Talent Management相关文章

更多相关阅读内容