Leveraging AI to Supercharge Your People Analytics and Employee Engagement Efforts
Summary: Using AI in Employee Engagement Surveys
CT discusses five key areas where AI can be utilized to enhance employee engagement surveys. Firstly, AI can assist in designing the survey by analyzing historical data and suggesting questions that generate meaningful responses. Secondly, AI can optimize survey distribution by personalizing invitations based on communication preferences and timing. Thirdly, AI can analyze survey responses to predict performance and attrition risks. Fourthly, AI can turn survey data into actionable insights for management, prioritizing areas for improvement. Lastly, AI can monitor trends over time and continuously improve survey effectiveness.
Timestamp
[0:00:00] Introduction to using AI in employee engagement surveys
[0:00:33] Using AI to design the survey
[0:01:56] Using AI to distribute the survey
[0:02:42] Using AI to analyze survey responses
[0:03:30] Using AI to turn data into actionable insights
[0:04:20] Using AI for monitoring and improvement
[0:05:00] Conclusion and future potential of AI in employee engagement surveys
Transcript
[CT] AI-powered EES
CheeTung Leong: [:Now, this applies even if you're in a mid sized organization with an extremely busy HR team. So how do we go about doing this? Now, there are five different areas that we could focus on. The first one is on designing the survey itself. So here is where AI can actually help you by looking at historical data, sentiment analysis, looking at how people felt in the past, and then Projecting that forward into suggesting questions that could generate the most meaningful responses for you.
You can rotate these across [:The second big piece that you could use AI for is around distributing that survey. So you want to be able to increase the participation rates of these surveys internally. And the reason for that is really because you want to maximize the accuracy of the feedback that you're collecting in the information that you receive.
uild your response rates and [:So this is, run of the mill garden variety type AI analytics, where you can analyze text you can use the response data to predict things like higher performance, predict things like people who are at risk of attrition or flight risks also being able to use AI to automate certain reports that you might have, highlighting key findings, summarizing trends for you in areas that need attention.
Now, fourth area that you could leverage AI in your employee engagement surveys would be turning those data that you're collecting into actionable insights for management. So being able to prioritize something like what EngageRocket does with our impact analysis, finding the areas of your business that will have the highest will be able to move the needle the most.
best practices from similar [:AI can track your engagement changes over time and allow you to be able to adjust your approach as needed. So being able to monitor trends and alert you if there are significant changes, as well as to be able to continuously learn from each survey round and each survey cycle. to be able to improve the effectiveness of that survey and provide better analysis with each iteration.
Now, of course, a lot of this right now isn't yet in the market, but these are critical areas that we're looking at in order to really harness the full capabilities of AI in delivering the optimum employee experience surveys within your organizations. So thanks for listening today. I'm CT from Engage Rocket.
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