Archive for the 'Information' Category

First, think…

I wasn’t at the Reboot Britain conference today, but there were some valuable nuggets in the twitterstream for the #rebootbritain hashtag. Of these, Lee Bryant’s reference to Howard Rheingold’s closing keynote resonated most for me.

@hreingold triage skills vital to new world of flow

The most common challenge I see from people about social software, Enterprise 2.0, whatever you want to call it, is that it looks interesting, but they are busy enough as it is, and can’t we do something about information overload. “Where do you find the time to do all this?” I can point to examples where these technologies can save them time (using a wiki over e-mail, for example), but these are often seen as problematic for some reason or another.

Wood stack

What Lee has spotted in Howard’s keynote is that people are being faced with a new challenge in life and work, and it probably frightens them.

Up until now, much of the information we need (as well as a huge amount that we don’t need) has been selected by someone else. Whether it is stories in a newspaper, TV programmes on the favourite channel or information within an organisation, someone has undertaken the task of choosing what the audience sees. As a result, we often have to live with things we don’t want. For example, I have little interest in most sports, so all newspapers have a sports section that is too long for my needs. Our tolerance for this redundancy is incredible. But we still resist changing it for a situation in which we can guarantee to see just what we want (and more of it).

According to Wikipedia (and this chimes with other accounts that I have read, so I trust it for now), triage was formalised as a means of dealing with large volumes of battlefield casualties in the First World War. One approach to medical emergencies might be to treat them as they arise, irrespective of their chances of survival. However, doing this is likely to lead to pointless treatment of hopeless cases and to a failure to treat those with a chance of survival in time. The result is a waste of resources and a higher than necessary death rate. Triage means that immediate treatment can be focused on those whose chances of survival are not negligible and where urgency is most important. Triage in medical emergencies is now a highly-developed technique, with incredibly effective results. (However much it may be resented by the walking wounded who are inevitably kept waiting in hospital accident & emergency departments.)

What would triage mean for information consumption? In the first place, it means no filtering before triage. One of the causes of information overload is that traditional selectors (the TV scheduler or news editor) inevitably pay no attention to the personal needs or interests of the audience. How could they? So, unlike the A&E department, we cannot rely on a triage nurse to make our choices for us. Rule zero, then, is that everyone does their own triage.

One of the key things about hospital or battlefield triage is that we don’t waste time with it if there is a clear life-saving need. So rule one of information triage is that anything life-threatening for the organisation or for ourselves needs immediate attention.

After that, we can sit down calmly to review and classify information as it comes in. Rule two: only two questions need to be asked. These are: “is this important to me in my role?” and “does this need attention now, or will its message still be fresh later?

Taking the answers to these questions together, we should be able to assess the importance and timeliness of anything that comes up. Anything that is time-bound and important needs attention now. Anything that can wait and is not relevant must be junked.

The final stage isn’t strictly triage, although it might correspond to a medical decision about who treats a patient. Having decided than a piece of information or an information flow is worthy of attention, we need to decide what to do with it. That is rule three: don’t just read it, do something with it. If information is important, it should need action, filing, or onward communication. What form each of those take is not a question for now, but there is no point paying attention to something if you or your organisation immediately loses the benefit of that attention.

Information triage is just like medical triage in that it stops action before thought. That is potentially a huge change if people have been accustomed to taking in pre-digested information flows without any thought and either acting immediately or not acting at all.

That’s all off the top of my head. Have I missed anything?

Your boom is not my boom

I am currently reading Generation Blend: Managing Across the Technology Age Gap. (There will be a review when I have finished it.) In the first chapter there is a graph of the birth rate in the United States which brought home to me how much our unarticulated assumptions matter.

Here is the graph (taken from Wikipedia):

This shows a clear increase in birth rate between 1946 and 1962 (known as the Baby Boom), followed by a slump between 1963 and 1980 (Generation X) and a rise again between 1981 and 2000 (Generation Y, or the Millennials). Compare this with the birth rate in the UK, as illustrated in the graph below (drawn using figures from the Office of National Statistics).

 uk-demographics

I have shaded three areas in the UK chart, marking years after the 1930s in which the birth rate rose significantly above the norm. The peaks occurring in the periods 1944-49 and 1957-1972 exceeded the mean for the century (just over 700,000 births per annum, apart from a slight dip below this in 1945). I have marked another bulge between 1986 and 1996, but the birth rate in these years is still below the mean for the century (the peak year is 1990, with 706,140 births — 2000 below the mean). By comparison, the birth rate over the same period in the US exceeded that in some years of their post-war baby boom.

For me, this difference between the US and UK is striking. It means that we need to be careful when using terms like “baby boom” and when assessing the impact of generational change in the workplace. As the US Bureau of Labor Statistics noted in 1985 (“Recent trends in unemployment and the labor force, 10 countries”):

In North America, birth rates peaked in the late 1950′s . In Western Europe, however, the peak occurred in the early to mid-1960′s, which coincided with the tapering off of North American birth rates. In Australia and Japan, the peak was reached much later, in the 1970′s.

In the United States and Canada, the children born during the baby boom reached working age in the early 1970′s, whereas those in Western European countries reached working age nearly 10 years later, during a period of generally declining economic growth . For Australia and Japan, the entry of the baby-boom generation is just beginning or yet to come.

There are two significant implications for the workplace. The first is that the UK baby boomers will be retiring ten years after those in the US. As a result, whereas the US needs to cope now with the “yawning gap in skills, experience, leadership, knowledge, and experience” (as Generation Blend puts it) that the loss of this cohort will bring, UK businesses have another decade to work out how to respond. On the other hand, the United States can almost count on their Millennials to replace the Baby Boomers, given the significant similarity in the birth rates. In the UK we do not have that luxury — there are not enough people in Generation Y to fill the places of the retiring generation. As a result there is almost certainly a different dynamic between the generations in the UK than there is in the US, and those of us on this side of the Atlantic need to be conscious of this when taking our cue from American studies and commentary.

Social software in law firms

About ten days ago, I attended a law firm breakfast meeting hosted by Headshift, the social software consultancy. Penny Edwards has blogged about the event and posted the presentation on Slideshare. It was a really interesting meeting and discussion, and well worth the very early start I had to make to get there from Manchester.

The presentation focuses on the value that social software can bring to law firms in the area of current awareness, which is a really interesting use-case. I think there is a lot that lawyers can do with social software, but it will take a while to wean them off Word and Outlook. (That isn’t to say that those tools do not have their place, but we know they are used sub-optimally.) On the other hand, information professionals in law firms are crying out for better ways of managing client and legal updates and research. Once they are up and running with new tools such as the ones demonstrated by Headshift, I think the lawyers will quickly come to understand the ways in which they can work better than Word or Outlook.

Following the presentation, Penny demonstrated some work that Headshift have done for Dewey & LaBoeuf. This integrates a wiki (Confluence, I think, although Headshift also work with Socialtext) with an enterprise RSS service (Newsgator). The main virtue of this work, as far as I could see, was the simplicity with which the elements were fitted together. Obviously we couldn’t see how they integrated with Dewey’s existing intranet, but I could see how they could slot in quite seamlessly.

As with most of these events, though, the really interesting part was the discussion. Fired by the presentation and demonstration, there were many questions round the table. These carried on even after the formal part of the meeting was over. One of the comments that really stuck in my mind was something that Lars Plougmann said. He reckoned (without having been able to test it) that the participation dynamic is different when social software comes inside the firewall.

The now-traditional assertion about wikis is that usage breaks down in three ways: 90% of people read but do not contribute; 9% contribute from time to time; and 1% participate heavily — accounting for most of the material. As far as I can find out, there is nothing to suggest conclusively that Lars’s view is accurate. (His hope is reflected by others, though.) But what are the consquences if the 90-9-1 rule does hold true for enterprise wikis?

If we construe it strictly, this usage profile should mean that no wiki can succeed if it serves less than 100 people (since a fraction of a person would be required otherwise). Some enterprise wikis might cover a much smaller group than this (such as a client-focused knowledge-sharing wiki where the client team is only 50 lawyers or so). However, if a single person were to support more than one wiki, their efforts could sustain 99 people overall. This leads me to the (I think inexorable) conclusion that we should focus our wiki efforts on areas where there are keen contributors rather than those where we could see a significant RoI, but no obvious wiki leaders. This appears a little counter-intuitive, and would need some nifty footwork to convince Ricky Revenue.

In all, then, a thought provoking morning and a welcome distraction. Many thanks to Penny and Lars!


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