If you’re like me, you’ve been seeing a lot written about the Millenials lately. It’s understandable, since by most accounts they are the biggest generation in U.S. history. So while Gen X got some attention back in the early 90s when they were entering the workforce, the attention on the Millennials is likely going to follow them their whole career. Given their importance, then, here’s a simple question: Who are the Millennials?
It is important that we not stay transfixed on the buzzing work of social media, because this permanent change to our business landscape has set in motion some other changes that need our attention. Specifically, as social media became the norm, I’ve noticed some changes in what is valued.
Both IT and Marketing seem to be in the middle of revolutionary changes. Things are shaking up. And this is a unique time in history where we can take those changes and apply them more broadly to leadership and management. But not if you stay stuck in your departmental mindset. Are you up to the challenge?
“Your workplace will need to figure out how to integrate the different views of your Millennial employees with the existing practices established mostly by Boomers and Xers. Frankly, you’ll probably also need to take a look at your culture to see if it is holding on to values from generations that are no longer there, that may not be serving your organization any more.”
“have generational issues been superseded by social media and social business? I don’t think so. I think generations are still a big challenge for organizations. So the question is, how do generational issues connect to social business? Here are some points to think about.”
Learning requires challenging your own assumptions, rather than just reacting to surface information. Learning, in fact, requires that we be more nuanced about data, because data rarely give you the answer. If they do, then the problem you were trying to solve was pretty simple. To be “actionable,” it turns out, requires more than data. You need data, plus thinking, plus conversation, plus insight, plus some more data, plus some assumption-testing and a healthy dose of experimenting.