Simulacrum : Looking Beyond the Data to the Human

‘Simulacrum – a likeness or simulation that has the appearance but not the substance of the thing it resembles.’ Kit White

Spring MagnoliasHere is an extract from a water colour sketch I made of some spring magnolias. It bears a likeness and simulation to one of my favourite flowers, and it is quite clearly not the substance of the flower. You can’t smell the flower, or touch it.

The notion of a simulacrum not only applies to art, but to all other things as well. I think there’s a reason why, even with all the technology now available to us, that face-to-face contact remains so important to us. That reason is the substance beyond the simulacrum.

Occupying the same physical space is transformatively different from any other shared experience. Seeing eye movements, sensing the air move as you and others physically shift, talk and laugh. All this stuff gets you closer to the substance. I once worked for a boss who used a cost cutting mantra as a reason to avoid getting the team together face to face, for a whole year. I recall few things about that time, but I clearly remember how much the team unraveled over that period, and though we shared information and data, just how little teamwork we did.

All too often, we lazily assume the data that is placed before us at work, is the real thing. It isn’t, yet we often use that data to make decisions that affect people’s lives in work and beyond. It’s scary enough when we unquestioningly decide to increase widget production without checking the figures, but when we make these choices about people, we risk pushing disrespect to a whole new level.

It’s so temptingly simple to make decisions based on a set of numbers. Everyone knows and uses the phrase popularised by Mark Twain, “There are three kinds of lies: lies, damned lies, and statistics.” yet we seem to have a scarily easy time believing the data when it’s placed before us in a work context. I think this is at least partly because we measure that which is easy to measure, not that which is important. And I think this is partly where HRTech is currently failing us.

When making decisions about people, working to get beyond the simulacrum really matters. And in order to do this, we need access to so much more than stats and data as we currently think about them. How might that look?

John’s performance rating is a 2 out of 5; Doug’s is only a 3. John gets the pay rise and all that glitters, I get told to pull my socks up.  What’s behind my 3? Do you know or care? Maybe I was a dead last 5 the last time we looked and boy that divorce was tearing me apart but you know, I knuckled down and hauled my previously productive ass all the way back up to a 3 again.

Here’s another dilemma. Good work often reveals itself slowly. You think you don’t have the time for slow so you push for data, push for fast and make do. Those that keep up survive, the rest, well you don’t care because you don’t have the time, remember?

Wherever possible I like to invest as least as much time looking and thinking as I do making.

I know you think you’re too busy to look and think and what the hell it doesn’t matter anyway. And maybe it doesn’t. In which case, don’t create any pretence about it, just openly treat people as pieces of raw data and see how that works out for you. If it does matter though, try investing the time to gather, build and understand a richer picture so that HR has the data it needs in order to do what it should do best. Help people make work better.

A version of this post was first published at HRExaminer.com

Writing by numbers

Back in July I blogged about the numbers behind the blog, and I received some useful feedback at the time, and I think sharing the information was useful for other bloggers too. A couple of months on here is a quick update.

Total visits to the site are up from 33,884 in July to 39,563 now. September 2011 closed as the busiest month to date with a small milestone of 3,003 visits, a step up from August which was the previous best at 2,076. I’m pleased with the increase in headline numbers and let’s look a little further.

Correlation

I previously observed a close correlation between number of posts and number of visits. Last month I wrote the fewest number of posts since January 2011, nine in total. Why the shift? Well two posts I wrote in September were particularly busy, Naked Whine and You Will Fail. Beehive Yourself, a review of David Zinger’s London engagement workshop I wrote in July remains popular and is drawing lots of visitors in from Harvard Business Review. And a post I wrote in June, Kung Fu Panda – The Illusion of Control is getting lots of hits. I Googled Kung Fu Panda and my blog post came up on the first page. Lots of folks are landing at that page and leaving pretty quickly too – sorry kids. You’ve heard of the saying an elephant in the room, well I have a panda!

Comments

At the time of the previous update, 145 posts had generated 708 comments. Wind forward and 168 posts have now generated 984 comments. I’m delighted that the level of conversation, feedback and exchange of views seems to be thriving. This for me is much more important than a topline view of visit numbers. As I’ve learned from the wise panda, you can probably engineer traffic flows to your site. In this instance it was completely unintentional, I had no idea he would be so popular but he’s costing me a fortune in bamboo shoots.

Sources

In the last month (with July 2011 figures in brackets for comparison) the traffic source figures are 15% (23%) direct, 35% (23%) search engines, 40% (43%) referred (almost half of all referrals came from Harvard Business Review last month), and 10% (17%) others. I note that folks referred in via Twitter, Facebook, LinkedIn and other social type sites spend several minutes here per visit. Traffic from search engines produces briefer visits.

So there you have it. I’ve found it useful to take a quick look under the bonnet and see what’s going on, I hope it helps a few of you out there too. I enjoy writing very much and I enjoy practicing and hopefully improving as a result. As always – thanks so much for reading, and if you have any questions and observations I’d love to hear them.