As we turn to the second half of 2019 now is a good time to check in on which areas of machine learning are getting the most attention among HR leaders.
Why these areas? In short, systems automate, learn, adapt, and help/improve. This framework helps you assess an effective way to streamline work and free up leaders to focus on mentoring, growing, and guiding their teams.
- Helping managers
- Employee engagement
- Employee experience
Organizations that are “employee investors” and focus on these areas see a generous ROI on the employee experience. This means welcoming them, communicating the values, giving managers concrete ways the employee is impacting the organization, and celebrating employee milestones.
Our clients that have spent time looking at these four areas benefit from greater employee satisfaction and more fulfilled employees. Snapshot surveys help HR measure the impact of these revised programs. Managers appreciate the encouragement and insights into their teams while HR and executives can see the organization in a fresh way. For example, seeing which managers are having the biggest impact outside of sheer financial metrics.
Our work as shared with Forbes is rooted in the belief that employees who receive regular genuine, and authentic feedback are happier, grow, and contribute to the company’s goals. Only people can do this and communicate the impact. Machine Learning greatly helps streamline tasks and then provides prompts, suggestions or reminders so that managers can give the most meaningful feedback and praise since it is tied to tangible areas the employee has impacted the organization.
When thinking about machine learning for your organization consider these questions?
- What repetitive tasks can be enhanced so that you can focus on other things?
- What do you want to learn from the tasks that were improved?
- How would you make the process better?
The ideas around employee engagement and satisfaction are, at best, confusing. In the many years I have worked with HR innovators I have heard enough ideas on this topic to make it seem like it’s super advanced physics. So let me answer this question with yes, with a but.
Yes it’s complicated but machine learning helps you streamline and automate so many processes that you have a chance to look around and see what’s going on in real time. It will take the complications involved in garnering insight into your corporate culture, finding strengths and weaknesses in employee engagement and, most importantly, it will allow you to make those adjustments that will control the many costs of employee dissatisfaction!