Here’s what I love about Pass It Along, and I think you’ll love it too:

• You can find out who’s learning a topic and see what else they’re interested in. Sharing what I know becomes a lot more fun when I can see who’s learning, because it gives me feedback that what I’m sharing is useful. Lists of people are much better than anonymous hit counts because I can view their profiles to see what else they’re interested in.
• You can learn from other people’s contributions. People can add links, related presentations, discussion topics, and other updates. For example, the “How to Make the Most of Your Commute” topic I started within IBM drew lots of interesting suggestions.
• You can create a place for discussions. I give a lot of presentations, and Pass It Along topics are a terrific place to hold follow-up discussions and reach out to more people. I post my presentation material using the Presentation Wizard and include the URL of the Pass It Along topic on my slides. It’s a great way for learners to connect with each other, too.

I also really like how a newbie like me can create value for other people by sharing what I’m learning. =) Whee! I’m copying some of my public content over, and you can find my topics on Pass It Along.

IBM Pass It Along on Alphaworks is a public site open to everyone. Access controls will follow soon, so you can limit topic access to just your organization if needed. IBM Pass It Along is even better inside your organization, where you can link it up with your employee directory or do all sorts of other cool stuff.

Check it out – it might be a great fit for your organization!

IBM Pass It Along

If you are wondering where you fall in this division, here are the boundaries:

• Traditionalists, born between 1900 and 1945;
• Baby Boomers, born 1946 to 1964;
• Gen-Xers, 1965-1980;
• Millennials, or NetGens, born after 1980

I liked the way the table above summarized the generational differences the first time I saw it, to the point I asked a colleague to re-use it in my current engagement. But when I proposed to add this table to the material I’m developing – part of a collaboration strategy for a very large government agency – I had an enlightening conversation with the folks I’m working with, both of them boomers and brilliant.

I don’t buy this. When I was 18, I was very much like the NetGen described in this table. The behaviours described here have a lot to do with personal traits and lifecycle. Today’s NetGens, once they get married, start a family and get a mortgage, may become more settled and act pretty much like a boomer. Besides, there are young folks today that are uncomfortable with change, thrive under hierarchical structures and prefer things to be run the "conventional" way.

Disclaimer: The above is my recollection of what 2 people said, which can be very different from what they actually said, so take it with a grain of salt.

I’ve been thinking about this a lot and I’m inclined now to think that the table above is VERY ageist, and it’s not helping us to actually understand the differences between people.

Our brain likes generalizations. It helps us to create a simple model of how life works and simplifies our decision making. But generalizations are typically based on perceived averages. And there is no such a thing as the average person, the average Asian, or the average woman. You probably have seen one of the multiple incarnations of "if the world were a village of 100 people" (see here & here for more details). The hypothetical average human being would be Asian, adult, heterosexual, Christian, always hungry and with no TV at home. I would bet that the vast majority of the human population does not fit that full profile, even though those are the dominant attributes in each category. Those attributes are independent variables, they don’t come in bundles.

There’s a Brazilian song that says something along the lines of "looking from a close range, nobody is normal" ("de perto ninguém é normal", Vaca Profana, Caetano Veloso, if you need to know). That’s so much true! Just imagine the table above trying to do the same with gender, race, or sexual preferences. You would probably think that to be very inappropriate or stereotypical. One of the things that make humanity fascinating is exactly how complex and different we are. Nobody is "one in a million". There was never a person like you, and there will never be. We are all truly unique, each one of us a long tail of our own. So please don’t tell me that you are too old to blog or that you "get" technology just because you are supposed to be a NetGen. There’s nothing like living in exponential times: the only thing you are supposed to be is yourself.