AI-powered synthetic data and employee listening.
Employees are feeling over-surveyed.
The need for fast, insightful feedback is greater than ever.
The use of AI-powered synthetic data can address both of these issues.
Instead of surveying your employees, you can now take your existing internal data (open text responses, emails, IMs, internal social channels) to create a synthetic data set. You now have an anonymised data set that is statistically highly representative of the original data.
Next, anonymised HR data can be used to generate artificial personas representative of specific employee segments. These synthetic personas can then be combined with the anonymised synthetic data set to conduct workplace research without requiring employee participation.
This breakthrough innovation, which uses using Generative AI, can deliver insights into what discrete segments of employees think about a specific workplace issue.
For example, you could research what each synthetic persona (working parent, graduate, executive leader, middle manager, frontline worker) thinks about hybrid work.
What do they like? What do they dislike? What would make them change their minds?
Conducting this type of ‘dark’ research can inform HR and executive leaders of the lie of the land without creating expectations, which running a survey inevitably does.
Early work in the consumer research space suggests that the findings that emerge are, at the very least, equivalent to those from a traditional study.
I don’t intend to operate in this space, but if your interest is piqued, take a look at https://mostly.ai
Employee listening for leaders™