Home > Uncategorized > Best practices for effective work patterns in ESN environment

Best practices for effective work patterns in ESN environment


Enterprise Social Networking (ESN) can benefit businesses, yes? How? Do we have a place where Best Practices of ESN are gathered/discussed/developed – a Wikipedia of ESN?

We take the approach of looking at different aspects/attributes of ESN or ESSP (Enterprise Social Software Platforms) as McAfee termed it, and how it can benefit or make business functions more effective. (we could also have taken the approach of looking at different challenges in current business operations and ask: what tools (ESN or other) could best aid in resolving these issues).

We learn how

And we’re greatful for several insightful posts from experienced users sharing their experiences like Greg Lloyd’s The Future of Work Platforms: Like Jazz , and several others.

But let’s go into more details. How does this play in practice? What combination of artifacts and functional elements of social tools helps the knowledge worker to increased productivity and a sense of greater effectiveness? What are the real business purposes of these functional elements? What are best use/practices of them for effective knowledge work / processing. Any development/research ongoing? How can non-experienced users best be introduced to this “better world”?

Here are just a few problem/possibility areas:

  1. Streams. General  and filtered on different levels. What are their real purposes in a business setting? Like a ticker or continuous news reel. An instant picture of what is happening now? What are required behavior pattern to gain value from these in a business setting?  You can’t keep watching streams all day long and when you watch , it is very coincidental what you get.
  2. Notifications. How can this work best?  Should it go to email, Jabber-like tools or just a notification “area” where you can go and have a look when you got time?
  3. Find all relevant info / activity about an issue/subject/project/task.  The promises of connected 2.0 compared to divided 1.0 To make the knowledge worker productive in effective case development. How do we most effectively find and collect all relevant info about an issue/case, etc. ? We don’t need to have application bound data anymore. We can have compound and interactive documents. But still, what’s the best method for combining data into one connected information container?
    1. By linking – on information item level. This is the great promise of the web, now we can link information of any type in any location. Everything can be linked together. However how do you make these endless connections graspable to humans?
    2. By tagging. Put a label on anything you write and submit, on paragraph level. Tagging on different levels and categories. Hierarchical tagging to aid in structure, How is this best done? How can we ensure we find everything about a case based on tagging? Will the collection be accurate and complete? Set of group tags and individual tags. There will be too many tags and redundancies. How to avoid a tagging chaos?
    3. By searching.  Bringing in complete collection by powerful search engines.  Able to filter and pinpoint information in search.

Which of these methods for finding all info about a case/issue? It must be accurate. We must trust that we find everything relevant. If we are to use as basis for decision making.  Perhaps a combination of all 3?  But what does best practice say here?


From http://techcrunch.com/2013/10/05/sorry-my-feed-is-full/.

Facebook’s filtered feed is built to adapt to however many friends you make or Pages you Like. Rather than show an unfiltered feed of everything posted by everyone in your social and interest graph, it just shows you the best posts — the ones with the most Likes and comments from the people you interact with most.

Facebook gives you direct control, allowing you to select how frequently you want certain people to appear in your feed or even what kind of stories (photos, games) you want to see. These controls are little-known and buried behind far too many clicks to be used efficiently, so it has room to improve.

Twitter’s not the only one with unfiltered feed problems. Instagram may eventually have to grapple with it.

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