Six Hats Pathway

Is this an example of a conversational pattern that could be added to A Pattern Language of Conversational Types?

digraph { compound=true layout=dot rankdir=TB overlap=false concentrate=false bgcolor=lightblue //splines="" node [style=filled shape=box] label= "\nSequencing Six Thinking Hat Conversations" "Blue Hat 1\n(Big Picture)" [fillcolor=blue fontcolor=white] "Blue Hat 2\n(Big Picture)" [fillcolor=blue fontcolor=white] "Red Hat 1\n(Feelings)" [fillcolor=red fontcolor=white] "Red Hat 2\n(Feelings)" [fillcolor=red fontcolor=white] "Yellow Hat\n(Positive)" [fillcolor=yellow fontcolor=black] "Black Hat\n(Negative)" [fillcolor=black fontcolor=white] "Green Hat\n(New Ideas)" [fillcolor=green fontcolor=white] "White Hat\n(Facts)" [fillcolor=White fontcolor=black] "Black Hat\n(Negative)" "White Hat\n(Facts)" "Blue Hat 1\n(Big Picture)" -> "Red Hat 1\n(Feelings)" -> subgraph cluster1 {label="variable sequence" "Yellow Hat\n(Positive)" "Black Hat\n(Negative)" "Green Hat\n(New Ideas)" "White Hat\n(Facts)" } -> "Red Hat 2\n(Feelings)" -> "Blue Hat 2\n(Big Picture)" #"Blue Hat\n(Big Picture)" -> "Red Hat\n(Feelings)" #"Red Hat\n(Feelings)" -> "Yellow Hat\n(Positive)" #"Yellow Hat\n(Positive)" -> "Black Hat\n(Negative)" #"Black Hat\n(Negative)" -> "Green Hat\n(New Ideas)" #"Green Hat\n(New Ideas)" -> "White Hat\n(Facts)" #"White Hat\n(Facts)" -> "Blue Hat\n(Big Picture)" #"White Hat\n(Facts)" -> "Black Hat\n(Negative)" }

This is my usual and preferred pathway though DeBono's Six Thinking Hats. I apply deviations and recursions as needed.

Hat Sequences

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strict digraph {rankdir=LR node [shape=box style=filled fillcolor=bisque] "Blue Hat" "Red Hat" "Yellow Hat" "Black Hat" "Green Hat" "White Hat" "Black Hat" "Blue Hat" "Lineup Diagram" node [fillcolor=palegreen] "Blue Hat" -> "Red Hat" node [fillcolor=palegreen] "Red Hat" -> "Yellow Hat" node [fillcolor=palegreen] "Yellow Hat" -> "Black Hat" node [fillcolor=palegreen] "Black Hat" -> "Green Hat" "Black Hat" -> "The Empath" node [fillcolor=palegreen] "Green Hat" -> "White Hat" node [fillcolor=palegreen] "White Hat" -> "Blue Hat" "White Hat" -> "Black Hat" node [fillcolor=palegreen] "Black Hat" -> "Green Hat" "Black Hat" -> "The Empath" node [fillcolor=palegreen] "Blue Hat" -> "Red Hat" node [fillcolor=palegreen]}

Not sure why the Graphvis markup is as depicted in the graph above.

strict digraph { rankdir=LR node [shape=box style=filled ] "Blue Hat\n(Big Picture)" [fillcolor=blue fontcolor=white] "Red Hat\n(Feelings)" [fillcolor=red fontcolor=white] "Yellow Hat\n(Positive)" [fillcolor=yellow fontcolor=black] "Black Hat\n(Negative)" [fillcolor=black fontcolor=white] "Green Hat\n(New Ideas)" [fillcolor=green1 fontcolor=black] "White Hat\n(Facts)" [fillcolor=White fontcolor=black] "Black Hat\n(Negative)" "White Hat\n(Facts)" "Blue Hat\n(Big Picture)" -> "Red Hat\n(Feelings)" "Red Hat\n(Feelings)" -> "Yellow Hat\n(Positive)" "Yellow Hat\n(Positive)" -> "Black Hat\n(Negative)" "Black Hat\n(Negative)" -> "Green Hat\n(New Ideas)" "Green Hat\n(New Ideas)" -> "White Hat\n(Facts)" "White Hat\n(Facts)" -> "Blue Hat\n(Big Picture)" "Black Hat\n(Negative)" -> "Green Hat\n(New Ideas)" "Blue Hat\n(Big Picture)" -> "Red Hat\n(Feelings)" }

I am imagining a summary note after reading anything, but especially after reading a Wikipedia page that uses these modes of thought as a checklist for recording notes: Blue—context and method and potential relevance Red—aesthetics, impact, motivation Yellow—Usefulness Black—Critical assessments and cautions Green—Stimulated what in my? White—Really critical facts learned or organized These are not yet in the right order.