Link: http://socialea.chickenbrain.de/2012/09/dont-panic.html
From Social Enterprise Architecture
Janne J. Korhonen has written a nice and worth to read blog post: There is not a simple solution to every problem, in which he was bringing me Cynefin back to my mind:
- Simple Problems can best be solved via Sense-Categorize-Respond (Best Practice).
- Complicated Problems can best be solved via Sense-Analyze-Respond (Good Practice).
- Complex Problems can best be solved via Probe-Sense-Respond (Emergent Practice).
- Chaotic Problems can best be solved via Act-Sense-Respond (Novel).
Tom Graves has created his useful SCAN framework and compares SCAN here with Cynefin. SCAN divides the sense-making and decision-making also in 4 different buckets:
- Simple and Straightforward
- Complicated but Controllable
- Ambiguous but Actionable
- Not-known, None-of-the-above
As I have written in People in GLUE the difference between success and failure lies in the success of failure of a person, because a person can make the difference. The key reason why in the GLUE Framework the focus is on people.
While I observe and support the GLUE Journeys through the GLUE Space I match the complexity of the solution to four levels:
- Re-Use of an already existing solution without changing the solution itself. Most likely high potential to automate or already automated.
- Re-Use of an existing Architecture (GLUE Discipline Design) so that real changes happen only in build and therefore potentially also on a lower Deck. Off-the-shelf and cloud solutions belong into this category.
- Change of the Architecture by adding elements which are not existing at the moment.
- No Idea how to solve the problem
Important aspect here is that the complexity level on the different decks can vary quite dramatic. Therefore to find out the complexity of a potential solution I apply a simple max() function on all Decks and elements in one Deck. The highest complexity decides about the complexity of the overall solution.
In most cases there is a fairly simple answer (Good or Emerging Practice) to most Desire, which is transforming into an existing standard off-the-shelf solution. That transformation is in most cases as an initial starting point not acceptable (“we are special”, “we do not accept that our process is dictated by a software supplier” or “change the process without changing the IT solution and get all imaginable benefits”). Reality is that in most cases an adaption to an existing off-the-shelf-solution is a good fit-to-purpose and fairly easy (complicated, complicated but controllable, Re-Use Architecture) to use solution.
The typical conclusion for me is to go to the persons and work close with them. Helping them in seing the potential of a solution even if it means to give up some of the Intentions and Requirements. Interesting enough this is usually not achieveble by pure facts but requires a quite intense person to person work. So Don’t Panic, work with the persons. People are relevant, the problem and the solution is only interesting.