Archive

Marshall Model

Digital Transformation

It seems like “Digital Transformation” of organisations is all the rage – or is it fear? – in C-suites around the world. The term implies the pursuit of new business models and, by extension, new revenue streams. I’ve been speaking recently with folks in a number of organisations attempting “Digital Transformation”, some for the fourth or fifth time. I get the impression that things are not going well, on a broad front.

What is Digital Transformation?

Even though the term is ubiquitous nowadays, what any one organisation means by the term seems to vary widely. I’ll attempt my own definition, for the sake of argument, whilst recognising that any given organisation may have in mind something rather different, or sometimes no clear idea at all. Ask ten different organisations what Digital Transformation means to them, and you’re likely to get at least ten different answers.

Digital Transformation is the creation and implementation of new business models, new organisational models and new revenue streams made possible by the use of new digital technologies and channels.

Ironically it’s proving to NOT be about technology, but rather about company culture (this, in itself, being a product of the collective assumptions and beliefs of the organisation).

“A significant number of organisations are not getting [digital] transformation right because of a fundamental quandary over what digital transformation really is.”

~ Brian Solis, principal analyst and futurist at Altimeter

My Interest

So, why am I bothering to write this post? Aren’t there already reams of articles about every conceivable aspect of Digital Transformation?

Well, one aspect of Digital Transformation I see little covered is that relating to the development of “digital” products for the digitally-transformed company. And the implications this brings to the party.

Digital Transformation requires the development of new products and services to serve the new business models, new organisational models and new revenue streams. Digital products and digital services. In most cases, this means software development. And organisations, particularly untransformed organisations – which even now means most of them – are spectacularly inept at both software development and product development. Some refer to this as “a lack of digital literacy”.

Things have not changes much in this arena for the past fifty years and more. Failure rates resolutely hover around the 40% mark (and even higher for larger projects). And the much-vaunted (or is it much cargo-cullted?) Agile approach to development has hardly moved the needle at all.

For the past two decades I have been writing about the role of the collective psyche – and the impact on organisational effectiveness of the collectively-held assumptions and beliefs about how work should work. And make no mistake, effectiveness is a key issue in digital product development. Relatively ineffective organisations will fail to deliver new digital products and services at least as often as 40% of the time. Relatively effective organisations can achieve results at least an order of magnitude better than this.

The Marshall Model provides an answer to the question: what do we have to do to become more effective as an organisation? And it’s not a popular answer. By analogy, people looking to lose weight rarely like to hear they will have to eat less and exercise more. Organisations looking to become more effective rarely like to face up to the fact that they will have to completely rethink long-held and deeply-cherished beliefs about the way work should be organised, managed, directed and controlled. And remodel their organisations along entirely alien lines in order to see a successful Digital Transformation and compete effectively in the digital domain.

Successful Digital Transformations demand organisations not only come up with new business strategies, organisational models, revenue streams and digital products and services, but also that they shift their collective mindset to one which aligns with their ambitions. Personally, I see shifting the collective mindset as an essential precursor to the former. Most organisations approaching Digital Transformation fail to recognise this inevitability, this imperative. And so, most Digital Transformations are doomed to underachieve, or fail entirely.

“Ask yourself whether what you’re doing is disruptive to your business and to your industry. If you can say yes with a straight face, you may well be conducting a legitimate digital transformation.” And if you’re unable to say yes, then whatever you’re doing, it’s likely not a Digital Transformation.

If you’d like to explore this topic, understand more about the Marshall Model, its relevance and its predictive power, and save your organisation millions of Dollar/Pounds/Euros – not to mention much embarrassment and angst – I’d be delighted to chat things over with you and your executive team.

– Bob

Further Reading

Reinventing Organizations ~ Frederic Laloux

Effectiveness

I recently had a bit of a wake-up call via Twitter. I asked the following question:

“What’s the one thing /above all/ that makes for an effective organisation?”

My thanks to all those who took the time to reply with their viewpoint. The wake-up call for me was the variety of these responses. All over the map might be a fair description. Which, given I’ve been writing about effectiveness in the context of organisations for more than a decade now, tells me I’ve some way to go to get my perspective across. Not that I’d expect folks to respond by simply parroting my definition, of course. And nor do I claim any special authority over the term.

Goldratt defines (in)effectiveness as:

“Things that should not have been done but nevertheless were done.”

Drucker defined it as:

“Successfully aligning behaviour with intentions.”

Aside: It’s been my experience that (organisational) effectiveness gets little attention or focus in most organisations. And seeing as how in most organisations things are so ineffective, I’ve come to believe that those making the calls don’t see a need for effectiveness.

Spectra

Effectiveness is a spectrum. From highly ineffective through to highly effective. Note that this spectrum is orthogonal to the spectrum of organisational success (by whatever measure you might choose for success: revenues, profits, social impact, personal kudos, joy, employee satisfaction, customer satisfaction, quality, returns to shareholders, executive bonuses, w.h.y.).

Effective organisations are not necessarily successful, and successful organisations are not necessarily effective. I posit that effectiveness can help create, contribute to, and sustain success. I seem to be in a minority.

Survey Results

Here’s the responses I received to my question:

  • @FragileAgile: “Folks needs being intentionally met.”
  • @andycleff: “+1 to Trust. Foundation for all the things.”
  • @LMaccherone: “Happy paying customers”
  • @stuart_snelling: “Accurate, contextual and meaningful data that is readily accessible.”
  • @ChangeTroops: ”Growth mindset.”
  • @allygill: “Effective people who understand the needs of their customers (internal and external) and each other.”
  • @KarimHarbott: “Totally and utterly dependent on what they are trying to achieve.”
  • @ArnoutOrelio: “People”. “Their ability to improve things; their creativity.”
  • @gertveenhoven: “Trust.”
  • @ferigan: “A team structure that doesn’t require effort to collaborate in and allows work to flow well.”
  • @anam_liath: “Common vision and ideals.”
  • @rogersaner: “Empowering your people.”
  • @sourabhpandey05: “I would say ‘Culture’ of the organisation. Culture which promotes1 the values trust, transparency, respect for everyone.”
  • @heybenji: “Ingenuity.”
  • @joserra_diaz: “Mindset of the owner.”
  • @ard_kramer: “Autonomy for individuals and a common understanding of what is of value for the organisation.”
  • @martinahogg: “Alignment.”
  • @briscloudnative: “Love.”
  • @barryfarnworth: “Understanding purpose….”
  • @mikeonitstuff: “Ultimately I think it’s leadership. The leaders set the stage for the culture and the vision for the organization. Poor leadership can destroy value and morale, great leadership creates the conditions for high performance.”
  • @EricStephens: “Uniform Commitment to the mission.”

For each of the above, I invite you to apply this litmus test: “if we had this, would we then necessarily be effective?”

Rightshifting

Some folks asked me for my “answer”, so here it is:

Rightshifting and the Marshall Model both attribute (relative) organisational effectiveness to the prevailing collective mindset. That’s to say, what an organisation collectively believes about how the world of work should work will absolutely dictate how effective that organisation will be. Any organisation wishing to become significantly more effective faces the formidable challenge of changing its collective assumptions and beliefs about work (in the broadest sense of the term). In other works, change the prevailing paradigm, or better yet, acquire the power to transcend /any/ particular paradigm.

For clarity then, the one thing above all that makes for an effective organisation is its collective mindset a.k.a. memeplex.

This echoes the famous “Twelve Leverage Points to Intervene in a System” by Donella Meadows:

– Bob

Solutions Demand Problems

I’m obliged to Ben Simo (@QualityFrog) for a couple of recent tweets that prompted me to write this post:

BenSImoTweets

I very much concur that solutions disconnected from problems have little value or utility. It’s probably overdue to remind myself of the business problems which spurred me to create the various solutions I regularly blog about.

FlowChain

Problem

Continually managing projects (portfolios of projects, really) is a pain in the ass and a costly overhead (it doesn’t contribute to the work getting done, it causes continual scheduling and bottlenecking issues around key specialists, detracts from autonomy and shared purpose, and – from a flow-of-value-to-the-customer perspective – chops up the flow into mini-silos (not good for smooth flow). Typically, projects also leave little or no time, or infrastructure, for continually improving the way the work works. And the project approach is a bit like a lead overcoat, constraining management’s options, and making it difficult to make nimble re-adjustments to priorities on-the-fly.

Solution (in a Nutshell)

FlowChain proposes a single organisational backlog, to order all proposed new features and products, along with all proposed improvement actions (improvement to the way the work works). Guided by policies set by e.g. management, people in the pool of development specialists coalesce – in small groups, and in chunks of time of just a few days – around each suitable highest-priority work item to see it through to “done”.

Prod•gnosis

Problem

Speed to market for new products is held back and undermined by the conventional piecemeal, cross-silo approach to new product development. With multiple hands-offs, inter-silo queues, rework loops, and resource contentions, the conventional approach creates excessive delays (cf cost of delay), drives up the cost-of-quality (due to the propensity for errors), and the need for continual management  interventions (constant firefighting).

Solution (in a Nutshell)

Prod•gnosisproposes a holistic approach to New Product Development, seeing each product line or product family as an operational value stream (OVS), and the ongoing challenge as being the bringing of new operational value streams into existence. The Prod•gnosis approach stipulates an OVS-creating centre of excellence: a group of people with all the skills necessary to quickly and reliably creating new OVSs. Each new OVS, once created, is handed over to a dedicated OVS manager and team to run it under day-to-day BAU (Business as Usual).

Flow•gnosis

Problem

FlowChain was originally conceived as a solution for Analytic-minded organisations. In other words, an organisation with conventional functional silos, management, hierarchy, etc. In Synergistic-minded organisations, some adjustments can make FlowChain much more effective and better suited to that different kind of organisation.

Solution (in a Nutshell)

Flow•gnosis merges Prod•gnosis and FlowChain together, giving an organisation-wide, holistic solution which improves organisational effectiveness, reifies Continuous Improvement, speeds flowof new products into the market, provides an operational (value stream based) model for the whole business, and allows specialists from many functions to work together with a minimum of hand-offs, delays, mistakes and other wastes.

Rightshifting

Problem

Few organisations have a conscious idea of how relatively effective they are, and of the scope for them to become much more effective (and thus profitable, successful, etc.). Absent this awareness, there’s precious little incentive to lift one’s head up from the daily grind to imagine what could be.

Solution (in a Nutshell)

Rightshifting provides organisations with a context within which to consider their relative effectiveness, both with respect to other similar organisations, and more significantly, with respect to the organisation’s potential future self.

The Marshall Model

Problem

Few organisations have an explicit model for organisational effectiveness. Absence of such a model makes it difficult to have conversations around what actions the organisation needs to take to become more effective. And for change agents such as Consultants and Enterprise Coaches attempting to assist an organisation towards increased effectiveness, it can be difficult to choose the most effective kinds of interventions (these being contingent upon where the organisation is “at”, with regard to its set of collective assumptions and beliefs a.k.a. mindset).

Solution (in a Nutshell)

The Marshall Model provides an explanation of organisational effectiveness. The model provides a starting point for folks inside an organisation to begin discussing their own perspectives on what effectiveness means, what makes their own particular organisation effective, and what actions might be necessary to make the organisation more effective. Simultaneously, the Marshall Model (a.k.a. Dreyfus for Organisations) provides a framework for change agents to help select the kinds of interventions most likely to be successful.

Organisational Psychotherapy

Problem

Some organisations embrace the idea that the collective organisational mindset – what people, collectively believe about how organisations should work – is the prime determinant of organisational effectiveness, productivity, quality of life at work, profitability, and success. If so, how to “shift” the organisation’s mindset, its collective beliefs, assumptions and tropes, to a more healthy and effective place? Most organisations do not naturally have this skill set or capability. And it can take much time, and many costly missteps along the way, to acquire such a capability.

Solution (in a Nutshell)

Organisational Psychotherapy provides a means to accelerate the acquisition of the necessary skills and capabilities for an organisation to become competent in continually revising its collective set of assumptions and beliefs. Organisational Psychotherapy provides guidance and support to organisations in all stages of this journey.

Emotioneering

Problem

Research has shown conclusively that people buy things not on rational lines, but on emotional lines. Rationality, if it has a look-in at all, is reserved for post-hoc justification of buying decisions. Most product development today is driven by rationality. What are the customers’ pain points? What are the user stories or customer journeys we need to address? What features should we provide to ameliorate those pain points and meet those user needs? Upshot: mediocre products which fail to appeal to the buyers emotions, excepting by accident. And thus less customer appeal, and so lower margins, lower demand and slower growth.

Solution (in a Nutshell)

Emotioneering proposes replacing the conventional requirements engineering process (whether that be big-design-up-front or incremental/iterative design) focusing as it does on product features, with an *engineering* process focusing on ensuring our products creaate the emotional responses we wish to evoke in our customers and markets.

The Antimatter Principle

Problem

How to create an environment where the relationships between people can thrive and flourish? An environment where engagement and morale is consistent through the roof? Where joy, passion and discretionary effort are palpable, ever-present and to-the-max?

Solution (in a Nutshell)

The Antimatter Principleproposes that putting the principle of “attending to folks’ needs” at front and centre of allof the organisations policies is by far the best way to create an environment where the relationships between people can thrive and flourish. Note: this includes policies governing the engineeringdisciplines of the organisation, i.e. attending to customers’ needs at least as much as to the needs of all the other Folks That Matter.

– Bob

Some Alien Tropes

Most people, and hence organisations, fear the alien, And by doing so, cleave to the conventional. Yet progress, change, and organisational effectiveness depend on embracing the alien.

“Problems cannot be solved with the same mindset that created them.”

~ Albert Einstein

To help folks understand what I mean by the phrase “alien tropes” here’s a short list of tropes from the Synergistic mindset. Very alien to all the Analytic-minded organisations out there.

  • Treat people like adults. In all things.
  • Allow people to choose their own terms, conditions, locations, salaries, equipment and ways of working together.
  • Understand who matters and what each of these individuals need.
  • Attend to all the needs of all the folks that matter.
  • Be aware of both the prevailing and the desired social dynamic in the organisation.
  • Think in terms of communities and teams, not individuals. Ensure all the policies of the organisation support this perspective.
  • Actively support and encourage self-organisation, self-management and self- determination (e.g. of teams).
  • People really do want to contribute, learn, make a difference and do the best they can.
  • Effective collaborative knowledge work is a learnable set of competencies.
  • Skilful dialogue is essential for effective teamwork and, as a skill, requires constant practice and development.
  • Intrinsic motivations add, extrinsic motivations subtract.
  • Productivity in collaborative knowledge work demands superior cognitive function.
  • Stress causes a decline in cognitive function.
  • Stress has many causes (fear, obligation, guilt, shame, lack of safety, …).
  • Eschew leadership in favour of e.g. fellowship.
  • Common (shared) purpose has a unique power.
  • Enthusiastically model and support discussion, debate, open-mindedness and the ability to change oneself and one’s assumptions, beliefs.
  • Alien tropes do not come naturally to people. Support their uptake.
  • Do not fear the alien; embrace it, use it, exploit it.

I’d be delighted to expand on any of the above, if and when invited to do so.

– Bob

 

Most Models Are Wrong

“The most that can be expected from any model is that it can supply a useful approximation to reality: All models are wrong; some models are useful”.

~ George E. P. Box

George E. P. Box

George Edward Pelham Box FRS (18 October 1919 – 28 March 2013) was a British statistician, who worked in the areas of quality control, time-series analysis, design of experiments, and Bayesian inference. He has been called “one of the great statistical minds of the 20th century”. He repeated his aphorism concerning the wrongness of models in many of his papers.

The first appearance (1976) reads:

“Since all models are wrong the scientist cannot obtain a “correct” one by excessive elaboration. On the contrary following William of Occam he should seek an economical description of natural phenomena. Just as the ability to devise simple but evocative models is the signature of the great scientist so overelaboration and overparameterization is often the mark of mediocrity.”

 ~ George E. P. Box

He wrote later (1978):

Now it would be very remarkable if any system existing in the real world could be exactly represented by any simple model. However, cunningly chosen parsimonious models often do provide remarkably useful approximations. For example, the law PV = RT relating pressure P, volume V and temperature T of an “ideal” gas via a constant R is not exactly true for any real gas, but it frequently provides a useful approximation and furthermore its structure is informative since it springs from a physical view of the behavior of gas molecules.

For such a model there is no need to ask the question “Is the model true?”. If “truth” is to be the “whole truth” the answer must be “No”. The only question of interest is “Is the model illuminating and useful?”.

~ George E. P. Box

What’s A Model?

The Marshall model belongs to the group of models collectively referred-to as Scientific Models.

“A scientific model seeks to represent empirical objects, phenomena, and physical processes in a logical and objective way. All models are in simulacra, that is, simplified reflections of reality that, despite being approximations, can be extremely useful. Building and disputing models is fundamental to the scientific enterprise. Complete and true representation may be impossible, but scientific debate often concerns which is the better model for a given task.

Attempts to formalize the principles of the empirical sciences use an interpretation to model reality, in the same way logicians axiomatize the principles of logic. The aim of these attempts is to construct a formal system that will not produce theoretical consequences that are contrary to what is found in reality. Predictions or other statements drawn from such a formal system mirror or map the real world only insofar as these scientific models are true.

For the scientist, a model is also a way in which the human thought processes can be amplified.”

“Models are typically used when it is either impossible or impractical to create experimental conditions in which we can directly measure outcomes. Direct measurement of outcomes under controlled conditions (see Scientific Method) will always be more reliable than modelled estimates of outcomes.”

The Marshall Model

I’ve written a number of blogs posts (plus a White Paper) on the Marshall Model, and its relationship with Rightshifting, so I’ll not repeat that material here.

How is the Marshall Model Useful?

  • Explains the fundamental source of productivity – or lack of it – in organisations generally.
  • Predicts the likely path of attempts to “go Agile or “be Agile”, embark on Digital Transformations, adopt Lean or Theory of Constraints, etc..
  • Situates a range of approaches to business productivity along a spectrum (the Rightshifting spectrum), in order of effectiveness.
  • Defines the challenge facing organisations that wish to significantly improve their productivity and effectiveness.
  • Illustrates the role of the collective psyche (within social systems).
  • Offers a way forward to higher productivity, joy, engagement and seeing folks’ needs better met.
  • Provides interventionists with insights in how to intervene in organisations seeking to improve, similar to the way the Dreyfus Model provides interventionists with insights in how to intervene in situations where individuals seek to improve their skills. (How to best adapt and adopt styles of intervention to suit where the organisation is at, in its journey towards maximum effectiveness).
  • Offers a seed for building a shared mental model of the factors governing an organisation’s relative effectiveness, as well as a means to understand the mental models typically in play within organisations.

Some time ago I wrote a post on how folks might use the Marshall Model.

Aside: Please let me know if you would value an elaboration of any of the above points.

Summary

“Truth … is much too complicated to allow anything but approximations.”

~ John von Neumann

The Marshall Model is not Truth. It is truthy, in that it has some utility as described above. It is a hypothesis, one I’d be delighted for folks to debate, dispute and discuss. Do you have, for example, your own go-to model for explaining organisational productivity? Where does the Marshall Model sit, for you, on the spectrum of “highly useful” through to “not very useful at all”? Would you be willing to share your viewpoint or hypothesis on organisational effectiveness and productivity?

– Bob

Further Reading

All Models are Wrong ~ Wikipedia Entry
Scientific Modelling ~ Wikipedia Entry
George E.P. Box ~ Wikipedia Entry
Mental Models ~ Wikipedia Entry
Models Are The Building Blocks of Science https://utw10426.utweb.utexas.edu/Topics/Models/Text.html

World Class? Really?

Some six years ago now, I wrote a post describing what might characterise a world class software / product development / collaborative knowledge work business.

In the interim, I’ve had some opportunities to work on these ideas for various clients. My consequent experiences, whilst in no way invalidating that post, have thrown up different perspectives on the question of “world class”.

Firstly, do you want it? Moving towards becoming a world class business involves a shed load of work, over many years. Do you want to commit to that effort? Even though the goal sounds noble, ambitious, attractive, does your business have what it takes to even begin the journey in earnest, let alone stick at it.

Then, do you need it? Absent powerful drivers spurring you on towards the goal, will you have the grit necessary to keep at it? Or will the initiative flounder and drown in the minutiae of daily exigencies, such as the constant pressure to get product and features out the door, to keep investors satisfied with (short term) results, etc.? And is the ROI there, in your context? If you do keep on the sometime joyful, sometimes wearysome path, and attain “world class” status, will the effort pay back in terms of e.g. the bottom line?

If your answers to the preceding two questions are yes, then we can get down to considering the characteristics of a world class collaborative knowledge-work business. What might it look like, that goal state?

Here’s my current take.

Context

Just in case a little context might help, here’s a variant of the Rightshifting chart which illustrates world class in terms of relative effectiveness (i.e. how effective are world class organisations relative to their peers?) The yellow area highlights those organisations (those at least circa 2.5 times more effective than the median) we might consider world class:

WorldClass

Fields of Competency

Any world class collaborative knowledge-work business must have mastered a bunch of different fields of knowledge. That’s not to say everyone in the organisation needs to have reached mastery (Level 5 – see below) in every one of the follow fields. But there must be a widespread acquaintance with all these fields, and some level of individual competent in each.

I suggest the following Dreyfus-inspired model for characterising an individual’s (practitioner’s) level of competency (or action-oriented knowledge) in any given field:

Level One (Novice)

The Novice level in each Field invites practitioners to acquire the basic vocabulary and core concepts of the Field. Attainment criteria will specify the expected vocabulary and core concepts. The Novice level also invites practitioners to acquire and demonstrate the ability to read and understand materials (books, articles, papers, videos, podcasts, etc.) related to the vocabulary and core concepts of the Field.

Level Two (Advanced Beginner)

The Advanced Beginner level in each Field invites practitioners to acquire the ability to critique key artefacts commonly found in the given Field. The Advanced Beginner level also invites practitioners to read more widely, and understand different perspectives or more nuanced aspects of, and peripheral or advanced elements within the Field.

Level Three (Competent)

The Competent level in each Field invites practitioners to acquire and demonstrate a practical competency in the core concepts in the Field, for example through the ability to apply the concepts, or create key artefacts, unaided.
The Competent level also invites practitioners to acquire and demonstrate the ability to collaborate with others in exploring and applying the abilities acquired in the Novice and Advanced Beginner levels.

Level Four (Proficient)

The Proficient level in each Field invites practitioners to acquire and demonstrate the ability to prepare and present examples and other educational materials appropriate to the given Field. The Proficient level also invites practitioners to acquire and demonstrate the ability to coach or otherwise guide others in applying the abilities acquired in the Novice, Advanced Beginner and Competent levels.

Level Five (Master)

The Master level in each Field invites practitioners to acquire and demonstrate national or international thought leadership in the Field. This can include: making significant public contributions or extensions to the Field; becoming a publicly recognised expert in the Field; publishing books, papers and/or articles relevant to the Field; etc.

The Fields

Any business that aspires to world class status must attain effective competencies in a wide range of different fields. The following list suggests the fields I have found most relevant to collaborative knowledge-work business in general, and software / product tech businesses in particular:

Flow

  • Flow (product development) (n): the movement of the designs, etc., for a product or service through the steps of the design processes which create them.
  • Continuous Flow (n): The progressive movement of units of design through value-adding steps within a design process such that a product design or service design proceeds from conception into production without stoppages, delays, or back flows.
  • See also: Optimised Flow Demonstration (video)

Deming

  • * Many in Japan credit Bill Deming for what has become known as the Japanese post-war economic miracle of 1950 to 1960.
  • William Edwards Deming (October 14, 1900 – December 20, 1993) was an American engineer, statistician, professor, author, lecturer, and management consultant. Deming is best known for his work in Japan after WWII, particularly his work with the leaders of Japanese industry.

Risk Management

  • Risk management is the discipline and practice of explicitly identifying and managing key risks.

    “Risk Management is Project Management for grown-ups.”
    ~ DeMarco & Lister

  • Potential benefits include:
    • makes aggressive risk-taking possible
    • protects us from getting blindsided
    • provides minimum-cost downside protection
    • reveals invisible transfers of responsibility
    • isolates the failure of a subproject
  • Note; Many Agile practices are, at their heart, about risk management.

Mindset

  • Mindset a.k.a. collective (organisational) memeplex (n): A set of memes (ideas, assumptions, beliefs, heuristics, etc.) which interact to reinforce each other.

“A memeplex is a set of memes which, while not necessarily being good survivors on their own, are good survivors in the presence of other members of the memeplex.”
~ Richard Dawkins in The God Delusion

  • The “organisational mindset” is a set of beliefs about the world and the world of work which act to reinforce each other.
  • These interlocking beliefs tightly bind organisations into a straight-jacket of thought patterns which many find inescapable. Without coordinated interventions at multiple points in the memeplex simultaneously, these interactions will prevail, as will the status quo.

Requirements a.k.a. Needs Management

  • A more or less formal approach to identifying and communicating needs
  • Any approach that ensures that everyone involved in attending to the identified needs shares a clear understanding of the required outcome(s): “doing the RIGHT thing”.

Fellowship

  • A system of organisational governance based on the precepts of Situational Leadership and with a primary focus on the quality of interpersonal relationships as a means to improved organisational health and effectiveness.
  • More generally, paying attend to the quality and effectiveness of the collaborative relationships across and through the business (and the extended value network of which it is a part).

Cognitive Function

  • Cognitive function (Neurology) (n): Any mental process that involves symbolic operations–e.g. perception, memory, creation of imagery, and thinking; Cognitive Function encompasses awareness and capacity for judgment.
  • Effectiveness of collaborative knowledge work is dictated by both e.g. quality of interpersonal relationships and degree of Cognitive Function.
  • See also: Cognitive Science

PDCA

  • PDCA (plan–do–check–act, or plan–do–check–adjust) is an iterative four-step method used for the control and continuous improvement of processes and products. It is also known as the Deming circle/cycle/wheel, Shewhart cycle, control circle/cycle, or plan–do–study–act (PDSA).
  • Based on the scientific method, (Cf. Francis Bacon) e.g. “hypothesis” – “experiment” – “evaluation”.

Statistical Process Control (SPC)

  • Statistical process control (SPC) is a method of quality control which uses statistical methods. SPC is applied in order to monitor and control a process.
  • Key tools used in SPC include control charts; a focus on continuous improvement; and the design of experiments.
  • See also: The Red Beads and the Red Bead Experiment with Dr. W. Edwards Deming (video)

Lean Product Development

  • Lean Product Development applies ideas from Lean Manufacturing to the design and development of new products (See e.g. books by Allen Ward and Michael Kennedy)
  • Aims to improve the flow of new ideas “from concept to cash”.
  • Can also help raise levels of innovation.
  • Exemplar: TPDS (Toyota Product Development System)

Don Reinertsen’s Work

  • Don Reinertsen is the author of three of the most definitive and best-selling books on product development.
  • His 1991 book, Developing Products in Half the Time is a product development classic.
  • His 1997 book, Managing the Design Factory: A Product Developer’s Toolkit, was the first book to describe how the principles of Just-in-Time manufacturing could be applied to product development. In the past 16 years this approach has become known as Lean Product Development.
  • His latest award-winning book, The Principles of Product Development Flow: Second Generation Lean Product Development, has been praised as, “… quite simply the most advanced product development book you can buy.”

Neuroscience

  • (Cognitive) neuroscience is concerned with the scientific study of the biological processes and aspects that underlie cognition, with a specific focus on the neural connections in the brain which are involved in mental processes.
  • (Cognitive) neuroscience addresses the questions of how psychological/cognitive activities are affected or controlled by neural circuits in the brain. Cognitive neuroscience is a branch of both psychology and neuroscience, overlapping with disciplines such as physiological psychology, cognitive psychology, and neuropsychology.
  • See also: Cognitive Function

Theory of Constraints

  • The Theory of Constraints (TOC) is a management paradigm originated by Eliyahu M. Goldratt.
  • TOC proposes a scientific approach to improvement. It hypothesises that every complex system, including manufacturing processes, consists of multiple linked activities, just one of which acts as a constraint upon the entire system (the “weakest link in the chain”).
  • TOC has a wide range of “thinking tools” which together form a coherent problem-solving and change management system.

Self-organisation

  • Self-organisation (n): Ability of a system to spontaneously arrange its components or elements in a purposeful (non-random) manner. It is as if the system knows how to ‘do its own thing.’ Many natural systems such as cells, chemical compounds, galaxies, organisms and planets show this property. Animal and human communities too display self-organization.

    “An empowered organization is one in which individuals have the knowledge, skill, desire, and opportunity to personally succeed in a way that leads to collective organisational success.”
    ~ Stephen R. Covey

Quantification

  • In mathematics and empirical science, quantification is the act of counting and measuring that maps human sense observations and experiences into members of some set of numbers. Quantification in this sense is fundamental to the scientific method.
  • See also: Tom Gilb

Systems Thinking

  • Systems thinking provides a model of decision-making that helps organisations effectively deal with change and adapt.
  • It is a component of a learning organisation – one that facilitates learning throughout the organisation to transform itself and adapt.
  • See also: Peter Senge, Russell L. Ackoff, Donella Meadows, etc.

Psychology

  • Psychology (n): the study of behaviour and mind, embracing all aspects of conscious and unconscious experience as well as thought. It is an academic discipline and an applied science which seeks to understand individuals and groups.

Argyris

  • An American business theorist, Professor Emeritus at Harvard Business School, and known for his work on interpersonal communication, organisational effectiveness, double-loop learning and learning organisations.
  • See also: Action Science.

Psychotherapy

  • Psychotherapy (n): interventions which facilitate the shifting of perspectives and attitudes, and thus, human behaviours.
  • See also: Organisational Psychotherapy

To the above list of Fields, I invite you to add any which may have specific resonance or relevance to your own business.

And then there are the lists of technical capabilities you need to be present in your various business functions, too.

Aside – CMMI

As an aside, CMMI also provides an extensive list of “capability areas” ( circa 128 different areas, last time I looked) focussed on engineering capabilities. Note: I find the CMMI list useful, but only as a primer, not as a full-blown recipe for success.

Summary

All the above begs the question: how to get there? And, how close are you to world class, so far?

– Bob

Reliability and Effectiveness

Many times when presenting either the Rightshifting curve:

or the Marshall Model:

I have been asked to define “Effectiveness” (i.e. the horizontal axis for both of these charts). I have never been entirely happy with my various answers. But I have recently discovered a definition for effectiveness, including a means to measure it, which I shall be using from now on. This definition is by Goldratt, as part of Theory of Constraints, and appears in his audiobook “Beyond the Goal”.

Measurements

Measurements serve us in two ways:

  1. As indicators of where we are, so we know where to go. For example, the dials and gauges on a car’s dashboard.
  2. As means to induce positive behaviours.

We must always remember, though, that we are dealing with humans and human-based organisations:

“Tell me how you measure me and I’ll tell you how I behave.” ~ Goldratt

We must choose measurements to induce the parts to do what’s better for the company as a whole. If a measurement jeopardises the performance of the system as a whole, the measurement is wrong.

Companies already have one set of measurements which measure their performance as a whole: their Financial measurements: e.g. Net profit (P&L) and investment (Balance Sheet)

What about when we dive inside the company as a whole, though? We then have two areas in which we have to conduct measurements:

  1. Support for and evaluation of management decisions
  2. Oversight on execution (how well are we executing on the decisions we’ve made?)

We generally don’t have good measurements in terms of decisions, nor good measurements in terms of execution.

We have to remember we’re dealing with human beings. And as long as we’re dealing with human beings, we have to realise that by judging any person on more than five measure, we’re creating anarchy. Simply because, with more than five measurements, people can basically do whatever they like, and likely still score high on one of them. And their bosses can nail them on some measurement they fail to deliver against. More than five measurements is conceptually wrong.

Categories of Measurement

So, how to categorise thing so that human beings can grasp the situation? Can we do better than we do now? Theory of Constraints suggests we can.

What resources do we have to help us formulate measurements in each of the above two areas; management decision-making, and execution of those decisions?

  • For decision-related measurements – there are lots of resources available to help e.g. books on Throughput Accounting.
  • For execution-related measurements – there is next to nothing published anywhere.

Continuous Improvement

I’ll not make the case for continuous improvement here. But if we wish to induce people to continuously improve, where should we focus our measurements? On things that are done properly, or on things that are not done properly? Which of these two foci better drives action? Focussing on the things we’re doing properly tends not to drive improvement. So we must concentrate on things that are not done properly.

How many things are not done properly? Kaplan suggests that in most businesses, there are more than twenty categories of things that are not done properly. But for humans to grasp our measures, we have already decided we need at most five categories, categories that completely cover everything that is not done properly, with zero overlap or duplication. Finding a way to categorise things that meets our criteria here is a nontrivial challenge.

Goldratt says there are only two categories:

  1. Things that should have been done but were not.
  2. Things that should not have been done but nevertheless were done.

Just two categories, with zero overlap. Beautifully simple.

And each of the above two categories already have a word defining them:

  1. Things that should have been done but were not – unreliability.
  2. Things that should not have been done but nevertheless were done – ineffectiveness.

Let’s swap these around into positive terms: Reliability, and Effectiveness.

Lovely.

Reliability and Effectiveness

Can we find measures to quantify Reliability and Effectiveness? How can we put numbers on our reliability? How can we put numbers on our effectiveness? Because, without numbers, we’re not measuring.

Let’s consider what is the end result of being reliable, in terms of the system as a whole. And what is the end result of being effective, in terms of the system as a whole? Not in financial terms though, as reliability and effectiveness are not financial things. We know this intuitively.

Reliability

Things that should have been done but were not.

The end result of being unreliable, in terms of the system as a whole, is that the company fails to fulfil its commitments to the external world. In other words, the company fails to ship on time. Do we already measure on-time shipment? Yes. We call it Due Date Performance. That’s a measure of how much we ship on time. “Our company Due Date Performance is 90%”. The unit of measure is almost always “percent”. What behaviour does this unit of measure trigger? Does it trigger behaviour that is good for the company? No. It encourages us to sacrifice on-time shipment of difficult, larger shipments in favour of smaller, easier shipments. So the dollar value of the sale must be part of any reliability measurement. We cannot ignore the dollar value. And neither is time is a factor in percent units. How late is each late shipment? We must include time, too. So, let’s change our “Reliability” units from “percent” to “Throughput dollar days” – the sales dollar value of each orders that is late, multiplied by the number of days it is late, summed across all late orders. The sum total is the measurement of our (un)reliability.

This is of course  a new unit of measure: Throughput-dollar-days. To infer trends, or to compare the performance of e.g. groups or companies, we will need time to train our intuition in the significance of this new unit of measure. As we begin to get to grips with this new unit of measure, it can help to present it as an indicator (a number in some fixed range, say 1-10, or as we use in Rightshifting, and the Marshall Model, 0-5) until we have adjusted to the Throughput-dollar-days measure.

Effectiveness

Things that should not have been done but nevertheless were done.

If we do things that we should NOT have been doing, what is the end result? Inventory. Do we already measure inventory? Of course we do. But how do we presently measure inventory? Either in terms of a dollar value, for example “$6 million of finished good inventory”, or in terms of a number of days, for example “60 days of finished goods inventory”. But both dollars AND time are important. Existing units of measurement for inventory drive unhelpful local behaviours like over-production and poor flow. So, how to measure to induce helpful behaviours? For each item of inventory, let’s use the dollar value of the inventory multiplied by the number of days that we’re holding that inventory under our local authority. We’ll call this unit of measure “Inventory-dollar-days”.

And one more measure of effectiveness: local operating expense. (For example, scrap, or salaries – with a given subunit of the company).

Note: We can fold quality into these measures simply by not recognising a sale, or a reduction in inventory, until the customer accepts the items (i.e. until the items meet the customer’s quality standards).

Summary

Now we have means for defining effectiveness, (and reliability) in a way in which we can also measure it. I feel very comfortable with that.

– Bob

Further Reading

Beyond the Goal ~ Eliyahu M. Goldratt (Audiobook only)

Relevance Lost: Rise and Fall of Management Accounting ~ Kaplan & Johnson

The Goal ~ Eliyahu M. Goldratt

Throughput Accounting ~ Thomas Corbett

The Balanced Scorecard: Translating Strategy into Action ~ Kaplan & Norton

%d bloggers like this: