Appreciating Systems

Appreciating Systems for Genuine Efficiency
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Inverse correlation between designing #change and resisting it.

February 26th, 2015 Posted in Change Tags: , , , , , , , , , , ,

I’ve been told a very old study, dated back ni 1948 reported a negative correlation between designing and resisting to a change: the more you participated in designing a change, the less you resisted it.

Of course, we all know this (albeit still try to push our ideas onto others, making them resisting), but knowing it’s really old facts, with measures is really interesting to me.

I don’t have the full paper yet, but below is the information I was given about it. Update: I did finally found it, see bottom of this paper. Thanks to Patrick Hoverstadt for the references!

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People don’t buy what you do, but why you do it (#TED talk by Simon #Sinek)

March 22nd, 2011 Posted in Change Tags: , , , , , , , , ,

Go check this empowering video available here (and maybe the corresponding book also).

Simon greatly explains that people don’t buy what you do or how you do it, but why you do it.  He also explains that you need to have this in mind in order to cross the chasm to get the vast majority of your niche buy your product.

 

AI Design phase is like setting objectives

October 27th, 2010 Posted in Appreciative Inquiry Tags: ,

Being new to AI and from a technical problem solving area (IT engineering), I’ve been struggling a bit around the Design phase. After reading some back issue of the AI Practitioner magazine (wonderful in the high quality of the articles it features!), it stroke me that the Design phase of an AI intervention might be explained as an objectives definition phase.

Of course, it’s far more powerful as any other objectives definition, because it builds on the previous Discovery and Dream steps. I do see them as steps on a stairway, because it allows participants in the AI workshop to be higher than what some other approach would have brought them, in terms of vision and positive hopes.

I’ve feared that when trying to introduce AI to people around me (especially management), they’d see it as some sort of utopian approach. Indeed, there is a logical progression from Discovery of current reality (as appreciatively inquired into its best moments) to Dream of a better future and then a stake in the ground is done of that Dream in the form of the bold and provocative propositions (what needs to be true for the Dream to occur). Then of course, the Destiny/Deliver phase is an action plan to achieve these propositions.

I see AI as a way to reverse cause and effect relationships. One usually live in a world where past and present causes effect a (planned, anticipated) future. Now with AI, envisionned future is not just mental imagery, it’s firmly grounded and, like a lighthouse, attracting us to it. Indeed, the (dreamed of) effect is creating the necessary causes for it to exist.

I might have  summarized too much of the intrinsic magic of the 4D process, but I was not trying to explain the whole AI approach in this article (maybe some other day, and in french as it’s not quite well know here…)

What’s your comments on this?

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