Tom Graves

Another week, another month, and it’s back to the usual collection of Tweets and links. Usual layout, after the usual ‘Read more…’ link.

Read more…

(This series of posts explores a concept of ‘context-space’ which in part draws on a categorisation immortalised in a certain well-known diagram. It must be emphasised that this is not about ’That Welsh Framework‘ (aka twf) which that diagram illustrates: for details on twf, please contact this company. I apologise for these absurd aliases, but regrettably their necessity has been forced upon us by others.)

We seem to be iterating steadily towards a full description of what I’ve termed context-space mapping (as a more permanent name than the temporary label ‘tinc‘). For example, there’s been some very useful discussion on the previous post, especially by enterprise-architects Paul Jansen and Sally Bean. Paul Jansen followed this up with another Tweet:

@tetradian May the ‘chaotic approach’ be the key to #tinc? http://bit.ly/amJa1o

In fact this leads to what is probably the fundamental difference between twf and context-space mapping (aka tinc): the role of the Chaotic domain. This particularly applies in terms of the respective views of repeatability within the context.

In the hope of preventing yet more repercussions, I won’t say anything about twf’s approach at this point, other than to express my opinion that, in the terms of context-space mapping, its focus is primarily on the Complex domain, which in turn leads to an emphasis on contexts that are ‘partly-repeatable’ in highly complex ‘unordered’ ways.

Context-space mapping, however, needs to cover all repeatability-types. As twf’s proponent indicates, the Simple domain of presumed-repeatability is covered by Taylorism et al.; the Complicated domain of analysed-repeatability by hard-Systems Thinking and the like; and the Complex by twf and so on. But there’s so far been little or nothing to cover the Chaotic domain of ‘barely-repeatable’ events and processes. So in practice it’s likely that that’s where whole-of-scope techniques such as context-space mapping will have the most impact.

The central theme in the Chaotic domain of practice is low- to zero-repeatability: some part(s) of the practice cannot be repeated, either because the conditions have changed – including the awareness and experience of the person doing the work. Conventional ’scientific-analysis’ approaches (Complicated-domain) rely on repeatability, so they’re actually not all that much use in the Chaotic components of any real-world task – in fact will often be misleading because they provide an illusion of predictability. In a way, the same is true of many Complex-domain techniques: they give us a much more reliable picture of an overall uncertain context, but we can’t reliably apply that in reverse to tell us what to do for a specific ‘market-of-one’, such as a specific medical diagnosis.

Ability to engage appropriately in the Chaotic-domain in this sense is almost a definition of skill. It’s also a key component of almost all knowledge-work – which is why this concern is coming much more to the fore, as knowledge-work becomes an increasingly important part of the overall economy.

At the business-process level, one of the key figures is Sigurd Rinde, whose concept of ‘barely-repeatable processes’ is the focus for his Thingamy business-process-execution software. The whole point of Thingamy is that the processes themselves are made up as they go along, by the people doing the work, expressing and applying their expertise. Underneath this, however, is a consistent Simple structure that records every decision, every artefact, every transfer of responsibility – which makes it possible to create any required reports from the process, including conventional statistical analysis. The result is nicely summarised on Sig’s other website, 30megs.com – so-called from his tag-line “Here’s 30 Megs. Now go run Germany”, which in principle is entirely feasible with this kind of decision-support/decision-tracking software. Sig is not alone in this, of course – for example, Stafford Beer developed something similar that in effect ran the entire economy of Chile for a while, way back in the early 1970s – but Thingamy is probably the best example of a software package available today that is designed for true Chaotic-domain processes.

Context-space mapping is part of what needs to happen before we settle on any technique or tool such as Thingamy. It’s about mapping the options available to us, and the decisions that we make within ’solution-space’, as part of an overall process of sensemaking in order to arrive at appropriate actions for the context. One of the key points in this is an awareness that we are part of the context, part of the ’solution’: in the classic Chaotic-domain sense, there is a boundary, and there is no boundary, always in the same moment.

We always start from ‘reality’ – that which in twf is termed the ‘disorder’ domain. (Everything does in fact take place within that domain: any purported subdivisions – such as Simple, Chaotic and suchlike – are sensemaking-abstractions that we place onto that domain, but are not actually ‘real’ as such.) From there, we would move into some kind of recursive OODA loop (Observe/Orient/Decide/Act), where sensemaking itself forms one or more of the earliest iterations. In those terms, context-space mapping would typically proceed as follows:

• Observe: What is ‘the context’ here?
• Orient: How do I make sense of what I’m seeing?
  1. What parts of the context appear to be unique (Chaotic), unordered or ‘wicked-problem’ (Complex), complicated but repeatable (Complicated) or universal (Simple)? Using that categorisation, map out the ‘problem-space’.
  2. Given that categorisation, what cross-maps would be useful for sensemaking?
     Note: There are an infinite number of cross-maps that could be used: some examples shown in this series include:
     • here: repeatability and action-tactics; domains and tetradian asset-dimensions; time versus focus; Jungian domains
     • here: twf tactics and types of practice; timescale versus ‘bindedness’; development of embodied ‘best-practice’
     • here: repeatability and ‘truth’; marketing versus sales; the ‘plan / do / check / act’ cycle
     • here: ISO-9000 quality-model; skill-levels; automated versus manual processes; asset-types; data, information, knowledge, wisdom
     • here: cause/effect relationships; decision-mode, timescale and level of abstraction
     • here: nature of boundaries between domains
     • here: phases of matter
  3. Using the categorisations from the cross-maps, what available tools and techniques are ’situated’ in what regions of the maps’ ’solution-space’? What can we learn from this?
• Decide: Given what I have learned from sensemaking, what should be my ‘action-plan’?
  1. Select from the available tools/techniques.
  2. Decide on a plan as to how, why, when, where, by whom, with what, and in what order each of the selected tools or techniques should be used.
• Act:  What am I doing as I am doing, and what do I see as I am doing?
  1. Enact the desired action.
  2. Apply the same overall OODA-loop to the action taken – recursively, where appropriate – for review, further sensemaking, decision and action.
• Repeat as appropriate.

(Some people might suggest that this kind of OODA-loop fits more within a twf-style Complex-domain mode than Chaotic-domain. True, there are important similarities, such as the shared focus on ‘unorder’ versus the Complicated/Simple notion of ‘order’. But the key distinction is that this acts on a single, individual, specific context rather than a Complex-domain collective – and is often also much closer to real-time than most Complex-domain decision-making.)

The above is a start towards how we would use context-space mapping, anyway. I’ll leave it there for now: any constructive comments, ideas and suggestions would be most welcome, as usual – over to you?

Previous posts in this series:

• Complexity, chaos and enterprise-architecture
• More on chaos and Cynefin
• Alternatives to the ‘Cynefin’ term, please?
• Solution-space: beyond Cynefin?
• On meta-methodology
• Using ‘Cynefin-like’ cross-maps
• More ‘Cynefin-like’ cross-maps
• And more ‘Cynefin-like’ cross-maps
• More on meta-methodology
• ‘tinc’ – a Temporary Inconvenience
• Context-space mapping and enterprise-architecture

Related:

• ‘Two Cryptic conversations‘

(This series of posts explores a concept of ‘problem-space’ versus ’solution-space’ which in part demonstrates alternative uses and interpretations of the Simple / Complicated / Complex / Chaotic categorisation originally described in the Cynefin diagram. It must be emphasised that this is not about the Cynefin Framework; for details on Cynefin, please contact Cognitive Edge.)

This post represents yet another attempt to describe certain fundamental differences in approach from twf (aka ‘That Welsh Framework‘ – so-called because we’re no longer allowed to use its official name at all) and to find an alternative term that might reduce the ongoing friction in that quarter.

To do this, we need to go right back to first-principles: the core concept of context-space, which eventually leads us to context-space mapping.

(Another long-ish post: more after the ‘Read more…’ link.)

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As can be seen from the comments to the previous post, the demands that we find another name for this framework-that-has-no-name have become increasingly strident.

Various urgent online and in-person conversations have ensued. The only directly-meaningful name we came up with was ‘solution-space mapping‘, but several people have disagreed with that, and in any case there is already a well-established usage of the acronym ‘SSM’ in this context, namely Checkland et al’s Soft Systems Methodology.

There’s a long-standing software tradition of assigning arbitrary names as working-titles for projects. Someone suggested ‘Eric’, which was a name they’d used when developing an IT system for an airline, and which reminded me of a nonsense-phrase I’ve often used, that “anything unknown is called Fred”.

But even an arbitrary proper-name seems too concrete for something that is necessarily abstract and, as a name, necessarily temporary. We couldn’t think of any meaningful acronym, so we played with sounds for a while, until someone came up with this:

tinc

It’s the sound of the penny dropping, as someone ‘gets it’; the small bright sound that the imaginary light-bulb makes at the ‘Aha!’ moment in solution-space. A quick, recursive echo of a sound. And it’s also a contraction of what this name really is: a temporary inconvenience.

Since it’s clear we’re not even allowed to use the name of the framework that this isn’t in order to describe what it isn’t, we would have to apply the same process to give us a temporary name for that. So we might note that in Welsh the plosive sound ‘toof!’ would be spelt as twf, which should give us a relatively-safe acronym for That Welsh Framework. (’Twf‘ is also the name of the Welsh Language Board website, by the way – “Cymraeg o’r Crud, Two Languages from Day One”.)

So there we have it: tinc, for the framework, and twf, for the-framework-that-it-isn’t. A temporary inconvenience, but it’ll have to do for now.

(This series of posts explores alternate uses of the Simple/ Complicated / Complex / Chaotic categorisation originally described in the Cynefin diagram. This discussion is not about the formal Cynefin Framework; for details on the Cynefin framework proper, please contact Cognitive Edge. The term ‘beyond-Cynefin’ is solely a placeholder to indicate this separation of concerns.)

Back to theory again – apologies… – following on from comments on the previous posts, especially ‘On meta-methodology‘.

The aim of this post is to try to create a bit more clarity around the notion of ‘problem-space’ versus ’solution-space’. To do this, I’ll draw on a variety of sources, ranging from dowsing to enterprise-architecture, Sigurd Rinde’s work on ‘barely-repeatable processes’, activity/response-models such as OODA and PDCA, and much more besides.

Will again be long, hence more after the ‘Read more…’ link.

Read more…

It’s another week. Which means another exciting (or somesuch) collection of Tweets and links. Which – yes, as you’d no doubt expect – means the usual categories preceded by the usual ‘Read more…’ link.

Over to you if you’re interested, anyway.

Read more…

(This is part of an ongoing series that explores alternate uses of a generic conceptual categorisation originally described in the well-known Cynefin diagram. This discussion is not about the formal Cynefin Framework; for details on the definition and use of the Cynefin framework proper, please contact Dave Snowden at Cognitive Edge. The term ‘beyond-Cynefin’ is here used solely as a placeholder to indicate this separation of interests.)

Here’s another collection of ‘Cynefin-like’ cross-maps that I’ve found useful for sensemaking in enterprise-architecture and related work:

• ISO-9000 quality-model
• Skill-levels
• Automated versus manual processes
• Asset-types
• Data, information, knowledge, wisdom

More details after the ‘Read more…’ link.

Read more…

It’s another week of Tweets and links – somewhat late due to overload elsewhere. Usual categories, usual ‘Read more…’ link.

Read more…

(This is part of an ongoing series that explores alternate uses of a generic conceptual categorisation originally described in the well-known Cynefin diagram. This discussion is not about the formal Cynefin Framework; for details on the definition and use of the Cynefin framework proper, please contact Dave Snowden at Cognitive Edge. The term ‘beyond-Cynefin’ is here used solely as a placeholder to indicate this separation of interests.)

Another collection of ‘Cynefin-like’ cross-maps that I’ve found useful in various aspects of my enterprise-architecture work:

• Repeatability and ‘truth’
• Marketing versus sales
• The ‘Plan / Do / Check / Act’ cycle

More details after the ‘Read more…’ link.

Read more…

(This is part of an ongoing series that explores alternate uses of a generic conceptual categorisation originally described in the well-known Cynefin diagram. It should be emphasised that this discussion is not about the Cynefin Framework, which is a distinct body of practices based on scientific research. For details on the definition and use of the Cynefin framework proper, please contact Dave Snowden at Cognitive Edge. As this broader usage of the categorisation does not yet have a specific name, the term ‘beyond-Cynefin’ is here used solely as a temporary placeholder to indicate this separation of interests.)

‘Cynefin-like’ cross-maps

I first started using what we could describe as ‘Cynefin-like’ models several decades ago, such as in my book Inventing Reality (first published 1986, current print-edition available here). I’ve found them immensely valuable in a very wide range of applications, especially in disciplines such as enterprise-architecture that necessarily cover the entire scope of a context. The key to its usefulness is that the model’s categorisation provides a consistent base-map for all manner of cross-maps, each of which provides new insights about the context.

Typical characteristics of a ‘Cynefin-style’ base-map include:

• universality: the model purports to cover the entire scope of a given context
• sensemaking: the purpose of the model is to guide sensemaking and decision-support, rather than (for example) design and implementation of a specific ’solution’
• simple partitioning: the model divides the context into a small number (typically 4-5) of regions or ‘domains’ (e.g. the Cynefin set of ‘Simple’, ‘Complicated’, ‘Complex’ and ‘Chaotic’), and often including a ‘none-of-the-above’ region (e.g. the Cynefin central region of ‘Disorder’)
• fluid boundaries: the boundaries between regions are not rigidly fixed (as they are in e.g. a two-axis matrix), and may be allowed to move, blur and/or be somewhat porous
• usage-dependent layout: the layout of the model may not be semantically significant (as it is in e.g. a two-axis matrix) – layouts are often two-dimensional, but may be single-dimension horizontal or vertical, or multi-dimensional such as the four-axis/three-dimension tetradian

(More after the ‘Read more…’ link.)

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