Digital evolution

The Hidden Patterns Underlying Thinking Different

May 30, 2025

AI, AInklings, Article, Chatbots, Collaboration, Dialogue, Digital evolution, Prompt Engineering

The Hidden Patterns Underlying Thinking Different

What if the most powerful cognitive frameworks for getting the most out of AI collaborations already exist, but remain invisible to most practitioners? This post reveals how revolutionary thinking patterns developed during the Cold War era—patterns that transformed e.g. computing, mountaineering, and engineering—now hold the key to unlocking unprecedented value from artificial intelligence tools.

Whilst everyone else focuses on perfecting prompts, this post uncovers something far more valuable: how to engage in dynamic collaborative dialogues that surface insights neither human nor AI could reach alone. Through historical examples spanning three decades—from a 1939 K2 expedition to the development of FORTRAN and ELIZA—we’ll discover how these durable cognitive patterns transcend technological generations and offer a blueprint for revolutionary AI collaboration. Companies and products like AInklings are already pioneering this approach, transforming static books into dynamic AI-enhanced interactive experiences that exemplify these collaborative intelligence principles in action.

Unlike conventional prompt engineering that treats AI as a static tool, these approaches teach you to Think Different with AI assistants, creating powerful thinking partnerships that amplify cognitive capabilities. Whether you’re a developer, researcher, knowledge worker, or simply curious about maximising AI’s potential, these timeless patterns provide the missing link between technical capabilities and breakthrough outcomes.

The Invisible Architecture of Breakthrough Innovation

In 1943, at Wright Field (later part of Wright-Patterson Air Force Base), military aviation faced unprecedented challenges. Wright Field had become the centre of Army Air Corps technical development, analysing captured German aircraft including the revolutionary Messerschmitt Me 262 jet fighter and conducting dangerous flight testing of new weapons systems. The testing had always been perilous work at Wright Field—back in 1918, First Lieutenant Frank Stuart Patterson had died when his aircraft’s wings collapsed during a steep diving test of a synchronised machine gun system.

Yet from this crucible of technical challenge and personal risk emerged innovations that would reshape aviation—not through incremental improvements to existing designs, but through fundamental shifts in how engineers approached complex systems. The most significant transformation was the move from “complete manufacture” to “design, major assembly, and integration of systems.” Before WWII, aircraft companies like Wright, Curtiss, or Boeing would design and manufacture entire aircraft within their own facilities—a “job shop” approach with skilled craftsmen building aircraft one at a time. During WWII, this evolved into a revolutionary new model where main aircraft companies became “integrators” coordinating specialised suppliers in massive production networks.

This transformation was enabled by an equally revolutionary approach to human systems: Training Within Industry (TWI). Created by the U.S. Department of War from 1940-1945, TWI solved the crisis of needing to rapidly train vast numbers of inexperienced workers to replace skilled craftsmen who had gone to war. Through its three “J Programmes”—Job Instruction, Job Methods, and Job Relations—TWI enabled companies to systematically break down complex manufacturing processes, train workers rapidly, and continuously improve methods. The results were extraordinary: amongst 600 companies monitored, 86% increased production by at least 25%, whilst 100% reduced training time by at least 25%. This enabled unprecedented manufacturing scales: by 1944, Boeing was completing 16 B-17G Flying Fortresses during each 20-hour work shift, whilst Ford’s Willow Run facility mass-produced complete B-24 Liberators using automotive assembly line techniques adapted for aircraft construction.

This moment exemplifies something remarkable: the most transformative breakthroughs rarely emerge from incremental improvements to existing methods. Instead, they arise from recognising hidden patterns of Thinking Different that lie dormant beneath the surface of conventional wisdom.

Today, as we stand at the threshold of the AI revolution, a parallel opportunity awaits. Whilst most practitioners focus obsessively on perfecting their prompts—the equivalent of polishing individual components—the real breakthrough lies in discovering the deeper cognitive frameworks that enable Thinking Different with artificial intelligence as a collaborative partner.

The Cold War Cognitive Revolution You Never Heard About

During the height of the Cold War, a quiet revolution was taking place in government research labs and university think tanks. Faced with unprecedented complexity in military strategy, space exploration, and emerging computer systems, researchers developed sophisticated patterns of Thinking Different that allowed them to navigate uncertainty and generate breakthrough insights.

These weren’t just problem-solving techniques—they were entirely new ways of perceiving and engaging with complex systems. The researchers who mastered these patterns of Thinking Different consistently produced innovations that seemed to come from nowhere, whilst their peers struggled with conventional approaches.

What made these patterns so powerful was their universality. The same cognitive framework that enabled the development of early computer architecture also revolutionised approaches to strategic planning, scientific research, and even mountain climbing. These patterns operated at a level deeper than domain-specific knowledge, functioning as meta-skills that enhanced thinking across any field.

Yet for decades, these frameworks remained largely hidden—scattered across classified documents, buried in academic papers, or passed down through informal mentorship chains. They were powerful, but invisible.

Why Your Prompts Aren’t the Real Limitation

Walk into any AI workshop today, and you’ll find practitioners debating the perfect prompt structure, analysing temperature settings, and optimising token counts. This focus on technical parameters mirrors a common pattern throughout technological history: when faced with a new tool, we initially try to master it through incremental refinement of our existing approaches.

But here’s what the aviation engineers in 1943 discovered, and what AI practitioners are beginning to realise: the real limitation isn’t in the tool itself—it’s in how we think about using it. The difference between conventional problem-solving and Thinking Different often determines whether we achieve incremental improvement or breakthrough innovation.

Consider the difference between asking an AI assistant to “write a marketing email” versus engaging it in a collaborative exploration of customer psychology, market dynamics, and communication theory. The first approach treats AI as an advanced word processor. The second recognises it as a thinking partner capable of surfacing insights that emerge from the intersection of human intuition and machine analysis.

This distinction points to something profound: the most valuable AI-related skills aren’t technical—they’re cognitive. They involve learning to Think Different about thinking itself, moving beyond conventional approaches to embrace patterns that unlock genuine collaboration between human intuition and machine capability.

The Patterns of Thinking Different: A Framework for Breakthrough Innovation

The cognitive patterns that emerged during the Cold War era can be distilled into core frameworks—what we might call the patterns of “Thinking Different.” These patterns share several remarkable characteristics:

They transform constraints into advantages. Rather than seeing limitations as obstacles to overcome, these patterns reveal how apparent restrictions often contain the seeds of breakthrough solutions. The aviation engineers discovered that severe weight limitations forced them to reconceptualise structural design in ways that actually improved performance.

They enable systems-level perception. Whilst conventional thinking focuses on individual components, these patterns cultivate the ability to perceive wholes—to see the forest, the ecosystem, and the climate patterns that shape both forest and trees. This shift in perspective often reveals leverage points invisible at the component level.

They generate unexpected connections. Revolutionary thinking thrives on recognising deep structural similarities across seemingly unrelated domains. The pattern that governs efficient resource allocation in biological systems might illuminate breakthroughs in computing architecture or organisational design.

They develop metacognitive awareness. Perhaps most importantly, these patterns cultivate awareness of thinking itself—the ability to observe your own cognitive processes, recognise limiting assumptions, and consciously shift between different modes of analysis. This is the essence of Thinking Different: not just what you think, but how you think about how you think.

They build comprehensive mental models. Rather than accumulating isolated facts, these patterns enable the construction of integrated knowledge structures that can adapt and evolve as new information emerges.

Three Stories of Revolutionary Application

To understand how these patterns operate in practice, consider three dramatically different scenarios where they produced breakthrough results:

The Mountain: In 1939, Fritz Wiessner led the second American expedition to K2. The German-born climber and his Sherpa partner Pasang Dawa Lama came within 800 feet of the summit—closer than anyone would get for another 15 years. Wiessner ultimately turned back “in deference to the wishes of his sherpa” despite being positioned to complete the climb. What made this expedition revolutionary wasn’t its near-success, but how Wiessner, “the only fully qualified and experienced climber to arrive at K2,” had to develop entirely new approaches to high-altitude climbing logistics and team dynamics when his expedition faced unexpected challenges including stripped camps and stranded team members. His systematic approach to extreme mountaineering established principles that influenced decades of subsequent expeditions.

The Machine: In the early 1950s at IBM, John Backus faced the challenge of making programming accessible beyond a small group of experts. Programming required laboriously hand-coding thousands of instructions in precise sequences of zeros and ones—what Backus described as “hand-to-hand combat with the machine.” Rather than incremental improvements to existing programming methods, Backus convinced IBM managers to let him assemble a team to design a language that would “capture the human intent of a programme and recast it in a way that a computer could process, expressed in something resembling mathematical notation.” The result was FORTRAN (Formula Translation), which debuted in 1957 and “fundamentally changed the terms of communication between humans and computers.” What once required a thousand machine instructions could now be reduced to fewer than fifty in FORTRAN.

The Mind: Between 1964 and 1967 at MIT, Joseph Weizenbaum developed ELIZA, an early natural language processing programme designed to explore human-computer communication. The programme’s most famous script, DOCTOR, was “capable of engaging humans in a conversation which bore a striking resemblance to one with an empathic psychologist.” Weizenbaum “was shocked that his programme was taken seriously by many users, who would open their hearts to it,” including his own secretary, who asked him to leave the room during her conversation with the programme. The surprising emotional responses from users revealed insights about human-computer interaction that neither pure human intelligence nor computational analysis could have uncovered alone.

Beyond Static Tools: The Art of Thinking Different Together

What unites these examples is a fundamental shift from treating external resources—whether mountains, machines, or minds—as static tools to be mastered, toward engaging them as dynamic partners in collaborative exploration. This shift represents the core insight that distinguishes Thinking Different from conventional problem-solving.

When Wiessner’s K2 expedition confronted stripped camps and stranded team members, they couldn’t simply power through with conventional climbing techniques. They had to understand the mountain as part of a complex system that included weather patterns, human limitations, and team psychology. When Backus developed FORTRAN, he stopped trying to force human thinking into machine logic and instead found ways to bridge human mathematical reasoning with computational processing. When Weizenbaum created ELIZA, he discovered that the most valuable insights emerged from the unexpected emotional responses of users—revelations that came from the interaction itself, not from either human or computer intelligence alone.

This same principle applies to AI collaboration today. The practitioners achieving the most remarkable results aren’t those who have perfected their prompt engineering techniques—they’re those who have learned to Think Different with AI systems as cognitive partners in dynamic, evolving dialogues.

The Socratic Renaissance: Ancient Wisdom Meets Modern Intelligence

The collaborative approach to AI interaction draws inspiration from one of history’s most powerful thinking partnerships: the Socratic dialogue. Twenty-five centuries ago, Socrates demonstrated that the most profound insights often emerge not from individual brilliance, but from carefully structured conversations that surface hidden assumptions and promote reflection on new possibilities.

Modern AI systems, with their vast knowledge bases and sophisticated reasoning capabilities, offer unprecedented opportunities to recreate this kind of collaborative inquiry. But realising this potential requires more than technical skill—it demands the cultivation of cognitive patterns that enable Thinking Different across different forms of intelligence.

The patterns of Thinking Different provide exactly this capability. They offer frameworks for engaging AI systems in ways that amplify human cognitive capabilities whilst leveraging the unique strengths of artificial intelligence. The result is a form of collaborative thinking that neither human nor AI could achieve independently.

The Durability Advantage: Skills That Transcend Technological Generations

One of the most compelling aspects of the patterns underlying Thinking Different is their durability. Unlike technical skills that become obsolete as technology evolves, these cognitive frameworks maintain their value across technological generations.

The same patterns that enabled breakthrough innovations in 1950s computing continue to drive advances in modern AI development. The frameworks that revolutionised mid-century manufacturing inform contemporary approaches to organisational design. The thinking skills that guided early space exploration at Wright-Patterson Air Force Base (which became a major centre for aerospace research and development) remain relevant for navigating today’s complex global challenges.

This durability stems from the fact that these patterns operate at the level of cognition itself, rather than at the level of specific tools or techniques. They enhance thinking capacity in ways that remain valuable regardless of technological change.

For AI practitioners, this means that investing in patterns of Thinking Different provides compound returns over time. As AI systems continue to evolve, those who have mastered these cognitive frameworks will be able to adapt and leverage new capabilities more effectively than those focused solely on current technical specifications.

The Hidden-in-Plain-Sight Principle

Perhaps the most intriguing aspect of patterns underlying Thinking Different is how they often hide in plain sight. The insights that seem most obvious in retrospect are frequently the most difficult to recognise in advance. This paradox explains why breakthrough innovations often appear to come from nowhere, even though the underlying patterns were available to anyone who knew how to perceive them.

The Cold War researchers didn’t invent new forms of logic or discover previously unknown cognitive capabilities. Instead, they learned to recognise and systematically apply patterns of Thinking Different that were already present but largely invisible. They developed the ability to see what was already there but overlooked.

This same dynamic operates in AI collaboration today. The most powerful patterns for human-AI interaction aren’t hiding in advanced technical documentation or proprietary research. They’re embedded in the structure of effective collaboration itself, waiting to be recognised and systematically applied by those willing to Think Different.

The Integration Challenge: From Pattern Recognition to Thinking Different

Understanding patterns of Thinking Different is one thing; integrating them into practical work is another. The gap between intellectual recognition and embodied skill represents one of the greatest challenges in developing these capabilities.

The most effective approach to this integration challenge involves what might be called “situated practice”—applying the patterns in real-world contexts where their value becomes immediately apparent. This is why the historical examples of pattern application across different domains prove so valuable. They provide concrete models for how abstract cognitive frameworks translate into practical results. Wiessner’s expedition demonstrated systematic approaches to managing uncertainty in extreme environments. Backus’s FORTRAN team showed how to bridge different forms of reasoning. Weizenbaum’s ELIZA revealed unexpected dimensions of human-computer interaction.

For AI practitioners, this means moving beyond theoretical understanding to engage in deliberate practice with AI systems using these patterns of Thinking Different. It means experimenting with different forms of collaborative dialogue, testing various approaches to problem framing, and developing sensitivity to the subtle dynamics that distinguish productive AI interaction from mere tool usage.

The Multiplier Effect: How Revolutionary Thinking Compounds

One of the most remarkable characteristics of patterns underlying Thinking Different is their tendency to amplify each other. Mastering one pattern often accelerates the development of others, creating a multiplier effect that dramatically enhances overall cognitive capability.

This compounding occurs because the patterns share underlying structural similarities. The systems thinking that enables effective mountain climbing also supports the pattern recognition needed for breakthrough engineering. The metacognitive awareness that drives effective AI collaboration also enhances the ability to identify and challenge limiting assumptions.

As these patterns integrate and reinforce each other, practitioners often report experiencing qualitative shifts in their thinking capacity. Problems that once seemed intractable become approachable. Connections that were previously invisible become obvious. The overall experience resembles gaining a new form of cognitive vision—suddenly perceiving patterns and possibilities that were always present but previously undetectable. This is the essence of Thinking Different: not just reaching different conclusions, but seeing with different eyes.

The Future of Human-AI Collaboration

As AI systems continue to advance in sophistication and capability, the importance of patterns underlying Thinking Different will only increase. The practitioners who learn to engage AI as cognitive partners rather than advanced tools will be positioned to achieve results that seem impossible to those stuck in conventional approaches.

This advantage will compound over time. As AI capabilities expand, those who have mastered patterns of Thinking Different will be able to leverage new developments more effectively, whilst those focused solely on technical mastery will find themselves repeatedly starting over with each technological advance.

The patterns underlying Thinking Different represent a form of cognitive infrastructure—foundational capabilities that support innovation and breakthrough thinking regardless of specific technological configurations. Investing in this infrastructure now provides leverage that will continue to pay dividends throughout the AI revolution and beyond.

The Choice Point: Technical Mastery or Thinking Different

We stand at a choice point in the development of AI collaboration skills. One path leads toward ever-greater technical sophistication in prompt engineering, parameter optimisation, and system configuration. This path offers incremental improvements and predictable results.

The other path leads toward mastering the patterns underlying Thinking Different that enable breakthrough collaboration between human and artificial intelligence. This path offers unpredictable but potentially transformative results.

Both paths have value, but they lead to very different destinations. Technical mastery creates competent practitioners. Learning to Think Different creates innovators who reshape entire fields.

The choice isn’t necessarily either-or—the most effective AI practitioners will likely develop both technical and cognitive capabilities. But the allocation of attention and effort matters enormously. Those who recognise the deeper leverage available through Thinking Different will be positioned to achieve results that seem impossible to their more technically focused peers.

The Invitation: Joining the Revolution in Thinking Different

The patterns underlying Thinking Different aren’t proprietary secrets or advanced academic theories. They’re practical cognitive tools that can be learned and applied by anyone willing to invest the effort. The barriers to entry aren’t technical—they’re perceptual.

The most significant obstacle is often the assumption that current approaches are already optimal, or that breakthrough results require breakthrough technology. The historical examples demonstrate otherwise. Extraordinary outcomes often emerge from applying known principles in previously unrecognised ways—from learning to Think Different with existing tools.

For those ready to move beyond conventional prompt engineering toward Thinking Different with AI, the opportunity is unprecedented. Never before have we had access to cognitive partners with the knowledge breadth and reasoning capabilities of modern AI systems. Never before have the patterns underlying Thinking Different been so clearly documented and accessible.

The emergence of AI-enhanced interactive learning platforms—such as those being developed by companies like AInklings, which offers AI-enabling of books as a service—represents exactly this kind of Thinking Different in action. Rather than treating books as static repositories of information, these platforms reimagine reading as dynamic collaboration between human curiosity and AI capability. They demonstrate how the patterns we’ve discussed can be applied to create entirely new forms of knowledge interaction that neither traditional publishing nor pure AI systems could achieve alone.

The revolution in Thinking Different about AI collaboration is beginning. The question isn’t whether it will happen—it’s whether you’ll be part of it.

From AI-enhanced interactive books that transform reading into collaborative discovery, to breakthrough applications across every domain of human knowledge, the hidden patterns underlying Thinking Different have been waiting in plain sight. They’re ready to transform not just how we use AI, but how we think about thinking itself. The only question is whether we’re ready to see them.

This post was written in collaboration with Claude—demonstrating precisely the kind of human-AI cognitive partnership that the patterns of Thinking Different enable. Rather than using AI as a mere writing tool, this collaborative process involved iterative research, fact-checking, conceptual refinement, and the integration of diverse knowledge sources to create insights that neither human nor AI could have achieved alone.

The creation process itself exemplified the very patterns described: transforming constraints (limited initial information) into advantages (thorough fact-checking that strengthened the argument), perceiving the work as a whole system rather than isolated components, making unexpected connections across domains (linking TWI to modern AI collaboration), developing metacognitive awareness (recognising and correcting the blog’s own assumptions), and building comprehensive mental models that integrated historical examples with contemporary applications.

Just as Fritz Wiessner’s expedition required collaboration between human determination and mountain systems, as FORTRAN emerged from the dialogue between human mathematical thinking and machine logic, and as ELIZA revealed insights through the interaction between human psychology and computational processing, this post emerged from the dynamic interplay between human strategic thinking and AI research capabilities—proving that the patterns underlying Thinking Different remain as relevant today as they were in 1943.

The Cultural Transformation Paradox: Why Digital Transformation Will Fail Wherever Agile Already Has

May 24, 2025

Agile, Agility at Scale, Alien tech, Article, Change management, Culture change, Digital evolution, Honesty, Marshall Model, Memeology, Organisational Therapy, Quintessence, Rightshifting

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The Cultural Transformation Paradox: Why Digital Transformation Will Fail Wherever Agile Already Has

We’ve all seen the statistics. According to various industry reports, somewhere between 60-70% of agile transformations fail to deliver their promised benefits. Meanwhile, digital transformation initiatives boast similarly dismal success rates, with studies suggesting that 70% or more fail to meet their objectives. Yet organisations continue to invest billions in these initiatives, convinced that this time will be different.

The uncomfortable truth is that both agile adoption and digital transformation require the same fundamental shift that organisations consistently refuse to make: a complete overhaul of their cultural DNA—their collective assumptions and beliefs about work itself.

The Agile Mirage: Surface Changes, Deep Resistance

Most agile “transformations” are really just process makeovers. Organisations eagerly adopt the ceremonies, tools, and vocabulary of agile whilst leaving their underlying cultural operating system completely intact. They implement daily standups whilst maintaining rigid approval hierarchies. They create cross-functional teams whilst preserving territorial budget processes. They preach customer collaboration whilst rewarding individual performance metrics that encourage hoarding information and credit.

The result? A thin veneer of agile practices layered over an unchanged command-and-control foundation. When pressure mounts, the old cultural reflexes kick in immediately. Managers bypass their newly empowered teams to make decisions directly. Budget cycles force teams back into detailed upfront planning. Risk-averse executives demand comprehensive documentation.

This happens because Agile isn’t really about processes—it’s about fundamentally different beliefs about human nature, decision-making, and value creation. True Agile requires a collective belief that:

People closest to the work make better decisions than distant executives
Learning through experimentation beats planning through prediction
Responding to change creates more value than following predetermined plans
Collaboration trumps individual heroics

Note that these (collective) beliefs align with the Synergistic mindset of the Marshall Model. These beliefs directly challenge the foundational assumptions upon which most large organisations are built—namely, the Analytic mindset as described in Rightshifting and the Marshall Model. It’s worth noting that the Agile Manifesto itself, whilst historically significant in crystallising these ideas, has at this point become little more than an historical curiosity—a fusty old relic that organisations reference whilst systematically ignoring its fundamental principles.

The Executive Comfort Zone Problem

Here’s where executives consistently fail: they want the benefits of cultural transformation without the discomfort of actually changing culture. They’re willing to fund new roles, reorganise teams, and implement new tools. But ask them to genuinely redistribute decision-making authority, eliminate layers of approval processes, or accept that their detailed strategic plans might be wrong, and you’ll encounter fierce resistance.

This resistance isn’t malicious—it’s deeply human. The existing culture got these executives to where they are. It validated their skills, justified their positions, and created their success. Asking them to embrace a fundamentally different approach feels like asking them to invalidate their entire professional identity.

So they compromise. They keep one foot in the old world whilst dipping a toe in the new. They want autonomous teams that still seek approval for every significant decision. They want rapid experimentation within predetermined boundaries. They want cultural transformation without cultural disruption.

This resistance isn’t just rational but deeply psychological – requiring the kind of intervention that organisational psychotherapy provides, rather than traditional change management.

Digital Transformation: Same Problem, Bigger Scale

Now we’re being told that digital transformation is the answer to organisational competitiveness. But digital transformation isn’t really about technology any more than agile transformation is about processes. It’s about completely reimagining how organisations create, deliver, and capture value in a digitally-native world.

True digital transformation requires even more radical cultural shifts than agile adoption:

From ownership to access: Success comes from orchestrating ecosystems, not controlling assets
From planning to sensing: Markets move too fast for traditional strategic planning cycles
From efficiency to adaptability: The ability to change quickly matters more than operational optimisation
From competition to collaboration: Value creation happens through partnerships and platforms
From products to experiences: Customer relationships matter more than transaction efficiency

These shifts are even more threatening to traditional organisational culture than agile principles. They challenge not just how work gets done, but the fundamental business models and value propositions that justify the organisation’s existence.

The Predictable Pattern

Watch what happens in most digital transformation initiatives:

Phase 1: Excitement and investment. New roles are created (Chief Digital Officer, anyone?), consulting firms are hired, and pilot projects launch with great fanfare.

Phase 2: Technology implementation. Organisations focus on the tangible, measurable aspects—new platforms, data analytics capabilities, customer-facing applications. Progress feels real and quantifiable.

Phase 3: Cultural collision. The new digital capabilities bump up against unchanged organisational behaviours. Decision-making bottlenecks prevent rapid iteration. Risk management processes slow down experimentation. Performance metrics reward short-term efficiency over long-term learning.

Phase 4: Accommodation and retreat. Rather than confronting the cultural barriers, organisations find ways to make the new capabilities fit within existing structures. Digital transformation becomes a series of technology upgrades rather than a fundamental reimagining of how the organisation operates.

Phase 5: Disappointment and blame. When the transformation fails to deliver transformational results, organisations blame the technology, the consultants, or the execution—anything except the cultural foundations they refused to examine.

Why We Keep Believing the Lie

If the pattern is so predictable, why do organisations keep falling into the same trap? Several cognitive biases work together to maintain the illusion:

The technology fallacy: It’s easier to believe that new tools will solve organisational problems than to confront the reality that the problems are human and cultural.

The incremental improvement myth: Organisations convince themselves that they can achieve transformational results through incremental changes, avoiding the disruption of true cultural shift.

The expert outsourcing delusion: Hiring consultants and creating new roles provides the psychological comfort that someone else is responsible for managing the transformation complexity.

The measurement misdirection: Focusing on easily quantifiable metrics (tools deployed, teams trained, processes documented) provides false evidence of progress whilst the deeper cultural work goes unmeasured and undone.

The Uncomfortable Alternative

What would genuine cultural transformation actually require? It would mean executives giving up significant control and accepting genuine uncertainty about outcomes. It would mean dismantling organisational structures that have provided stability and predictability for decades. It would mean acknowledging that many of the skills and approaches that created past success might be liabilities in a rapidly changing environment.

Most fundamentally, it would require leaders to model the vulnerability and learning mindset they’re asking their organisations to adopt. They would need to admit what they don’t know, experiment with approaches that might fail, and change course based on feedback from people lower in the organisational hierarchy.

This level of authentic change is rare because it’s genuinely difficult and risky. It requires leaders who are more committed to organisational success than to their own comfort and certainty.

A Different Question

Instead of asking “How can we make digital transformation successful?”, perhaps we should ask “Are we prepared to become the kind of organisation that digital transformation requires?”

This question cuts through the comfortable mythology and forces honest self-assessment. Most organisations, when confronted with this question directly, would have to answer “no”—and that honesty might be the first step toward genuine transformation.

And honestly answering this question might require the kind of deep self-examination that organisational psychotherapy is designed to facilitate.

The alternative is to continue the expensive charade of surface-level change initiatives that provide the appearance of progress whilst leaving the fundamental constraints unchanged. We can keep funding the consultants, implementing the tools, and reorganising the teams whilst wondering why transformation remains elusive.

But we shouldn’t be surprised when digital transformation fails at the same rate and for the same reasons as agile transformation. The problem was never the methodology or the technology—it was always the culture we’re too attached to change.

The Great Executive Deflection: Agile, Digital Transformation, and the Avoidance of Real Change

May 23, 2025

Agile, Article, Digital evolution

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The Great Executive Deflection: Agile, Digital Transformation, and the Avoidance of Real Change

In boardrooms across Britain and beyond, executives nod sagely as they approve yet another transformation initiative. Agile methodologies, digital transformation programmes, cloud migrations—these become the new corporate gospel, promising to revolutionise everything from productivity to customer experience. Yet beneath this veneer of progressive management lies a more uncomfortable truth: these initiatives have become the ultimate deflection tactics, sophisticated smokescreens that allow leadership to avoid the genuinely challenging work of cultural transformation.

The Comfortable Chaos of Transformation Theatre

These transformation initiatives offer executives something irresistible—the appearance of decisive action without the messy and discomforting reality of fundamental change. It’s far easier to mandate cloud migrations than to examine why employees feel disconnected from their work. Implementing new digital platforms requires less courage than confronting the toxic assumptions that permeate organisational hierarchies. Agile ceremonies and digital dashboards can fill calendars and screens whilst deeper questions about purpose, values, and genuine collaboration remain carefully undiscussable.

The beauty of these initiatives, from an executive perspective, is their inherent busyness. Teams are constantly migrating, optimising, iterating—creating a perpetual whirlwind of activity that can be mistaken for progress. Metrics abound: velocity charts, digital adoption rates, cloud cost savings, automation percentages. These quantifiable outputs provide the perfect distraction from the qualitative questions that truly matter. Are people engaged with their work? Do they trust their colleagues? Does the organisation’s culture reflect its stated values?

Digital transformation programmes are particularly seductive because they promise measurable outcomes through technological solutions. New CRM systems will improve customer relationships, AI will enhance decision-making, cloud infrastructure will increase agility. Yet these technological interventions consistently fail to address the human and cultural factors that determine whether any transformation will succeed or fail.

The Harder Truth About Cultural Change

Real cultural transformation demands something most executives find deeply uncomfortable: genuine vulnerability and sustained commitment to change that may not yield immediate, measurable results. It requires leaders to examine their own shared assumptions, acknowledge past failures, and commit to behaviours that initially feel alien or inefficient.

Cultural change means having difficult conversations about power, privilege, and the often unspoken hierarchies that determine how decisions are actually made. It involves questioning fundamental beliefs about competition, collaboration, and what constitutes valuable work. This type of transformation cannot be project-managed into existence.

Consider the difference in effort required. Implementing Agile ceremonies might take months and can be tracked with clear milestones. Shifting an organisation from a culture of blame to one of joy could take years and requires leaders to model vulnerability consistently, even when—especially when—things go wrong. The former can be delegated to consultants and Agile coaches; the latter demands daily, personal commitment from everyone in the organisation.

The Transformation Industrial Complex

The rise of transformation initiatives has created entire industries of consultants, coaches, and technology vendors that promise to deliver change through process optimisation and digital solutions. These well-meaning professionals often become accomplices in the deflection game, focusing on the technical implementation of new systems and methodologies whilst the deeper cultural issues remain blissfully untouched.

Executives can point to their investment in Agile coaching, their adoption of cutting-edge digital platforms, their attendance at transformation conferences, and their cloud migration roadmaps as evidence of their commitment to change. Yet these same leaders continue to make unilateral decisions, reward individual performance over team success, and maintain the very command-and-control structures that their transformation initiatives were ostensibly designed to challenge.

Beyond the Theatre

True organisational transformation requires executives to move beyond the theatrical aspects of change initiatives towards the much more challenging work of surfacing and reflecting upon the collective assumptions that guide their organisation’s behaviour. This means asking uncomfortable questions: Why do we really make decisions? What do we actually reward? How do our actions align with our stated values?

It means creating space for genuine experimentation, including the kind that might challenge existing power structures or question long-held beliefs about efficiency and control. It requires leaders to model the behaviours they wish to see, even when—especially when—those behaviours feel risky or uncomfortable.

Most importantly, it demands a shift from viewing transformation as something that can be implemented to recognising it as an ongoing process of collective learning and adaptation. This perspective requires patience, humility, and a willingness to measure progress in terms of trust, engagement, and genuine collaboration rather than simply velocity and throughput.

The Path Forward

The uncomfortable truth is that these transformation initiatives—whether Agile, digital, or any other variety—are fundamentally irrelevant to genuine organisational change. Whether teams hold stand-ups or skip them, whether they use cloud platforms or legacy systems, whether they follow Scrum or adopt the latest digital tools—none of this matters if the underlying culture remains unchanged. These initiatives are simply rearranging deck chairs whilst the deeper issues of trust, purpose, and genuine collaboration remain undiscussable.

What matters is not the methodology or technology but the willingness of leadership to confront the collective assumptions and beliefs that actually drive organisational behaviour. The real work begins not with implementing new processes or systems, but with the courage to examine whether the organisation’s culture truly supports its aspirations—and then doing the hard, unglamorous work of changing it.

The choice, ultimately, is between comfortable deflection and uncomfortable growth. Between the reassuring theatre of process optimisation and the challenging work of genuine transformation. Between managing the appearance of change and actually leading it.

From Operational Value Streams to Prod•gnosis

May 12, 2025

Actionable Insights, Alien tech, Antimatter principle, Article, Business, Capability development, Digital evolution, Flow, Flow•gnosis, Organisational Therapy, Paradigm shifts, Prod•gnosis, Product development, SAR Organisations, Software development, Systems thinking, Value streams

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From Operational Value Streams to Prod•gnosis

Connecting Allen Ward and Bob Marshall’s Product Development Philosophies

A thoughtful exploration of two complementary approaches to transforming product development

Introduction

In the world of product development theory, two complementary approaches stand out for their innovative thinking about how organisations might tackle the creation of new products: Dr Allen Ward’s approach, born of many years researching the Toyota approach, and my own approach, which I’ve named Prod•gnosis

While Dr. Ward’s work on operational value streams emerged from his extensive study of Toyota’s product development system, Prod•gnosis builds upon and extends his ideas into a comprehensive framework focused on organisational transformation for better product development, reduced costs, and more appealing products.

This post explores the connections between these two approaches and how, together, they offer a powerful lens for fundamentally rethinking product development.

The Foundation: Allen Ward’s Operational Value Streams

Allen Ward’s core insight, which has become a cornerstone of lean product development e.g. TPDS, is elegantly simple yet profound:

“The aim of development is, in fact, the creation of profitable operational value streams.”

An operational value stream (OVS) represents the set of steps that deliver a product or service directly to the customer (and others). This includes activities like manufacturing a product, fulfilling an order, providing a loan, or delivering a professional service.

Ward’s work, drawing from his decade of direct research at Toyota, showed that effective product development isn’t just about designing isolated products. Rather, it’s about designing the entire system through which those products will be manufactured, shipped, sold, and serviced. This holistic approach explains much of Toyota’s success in bringing new products to market quickly and profitably.

Ward emphasised that creating profitable operational value streams requires:

A “whole product” approach that involves every area of the business
Knowledge creation as the central activity of product development
The use of tools like trade-off curves for decision-making and teaching
Systematic waste elimination throughout the development process

Prod•gnosis: Building on Ward’s Foundation

I’m delighted to acknowledge my intellectual debt to Dr. Ward. In my writings on Prod•gnosis, I directly reference Dr. Ward’s influence, adopting his view of “business as a collection of operational value streams.”

I define Prod•gnosis (a portmanteau of “Product”, and “Gnosis” meaning knowledge) as a specific approach to product development that places the creation of operational value streams at its centre. However, Prod•gnosis extends Dr. Ward’s thinking in several notable ways:

The Product Development Value Stream (PDVS)

Prod•gnosis introduces the concept of a dedicated “Product Development Value Stream” (PDVS) as a distinct organisational capability responsible for creating and instantiating operational value streams. I previously wrote:

“I suggest the most effective place for software development is in the ‘Product Development Value Stream’ (PDVS for short) – that part of the organisation which is responsible for creating each and every operational value stream.”

This represents a significant organisational shift from traditional department-based structures.

Challenging IT’s Role in Product Development

Prod•gnosis particularly questions the conventional role of IT departments in product development. Prod•gnosis argues that software development does not belong in IT departments but instead is much more effective when situated within the Product Development Value Stream:

“If we accept that the IT department is poorly suited to play the central role in a Prod•gnosis-oriented organisation, and that it is ill-suited to house or oversee software development (for a number of reasons), then where should software development ‘sit’ in an organisation?”

The answer is clear: within the PDVS, where it can directly contribute to creating operational value streams.

Incremental Implementation

Prod•gnosis proposes a “Lean Startup-like approach” to implementing operational value streams:

“I’m thinking more in terms of a Lean Startup-like approach – instantiating version 0.1 of the operational value stream as early as possible, conducting experiments with its operation in delivering an MVP (even before making its 1.0 product line available to buying customers), and through e.g. kaizen by either the product development or – the few, early – operational value stream folks (or both in collaboration), incrementally modifying, augmenting and elaborating it until the point of the 1.0 launch, and beyond.”

This represents a pragmatic approach to putting Dr. Ward’s principles into practice.

Key Points of Alignment

Despite their different emphases, Ward and Prod•gnosis’ approaches share significant philosophical alignment:

1. Value Stream-Centric View

Both view business fundamentally as a series of operational value streams, with product development focused on creating and improving these streams rather than just designing isolated products.

2. Whole Product Approach

Both emphasise the importance of involving all aspects of a business in product development. Prod•gnosis references Toyota’s “Big Rooms” (Obeya), which Ward studied extensively, as an example of effective cross-functional collaboration.

3. Systems Thinking

Both reject piecemeal improvements and advocate for fundamental shifts in organisational perspective. As Ward wrote and Prod•gnosis quotes: “Change will occur when the majority of people in the organisation have learned to see things in a new way.”

And see also: Organisational Psychotherapy as a means to help organisations see things in a new way.

4. Flow Focus

Both emphasise the importance of flow in product development, with Prod•gnosis particularly focused on aspects like flow rate, lead time, cycle time, and process cycle efficiency – both of the PVDS and the OVSs.

Practical Applications of the Combined Approach

Organisations seeking to apply these ideas might consider:

Creating a dedicated Product Development Value Stream responsible for designing and implementing operational value streams (a.k.a. new products)
Removing software development from IT departments and placing it within the PDVS
Adopting a “whole product” approach that brings together all business functions in the service of product development
Implementing early versions of operational value streams viw the PVDS, and then iteratively improving them
Measuring and optimising flow through the product development process

Getting There: Transitioning to Prod•gnosis

Moving from conventional product development approaches to a Prod•gnosis model represents a significant organisational transformation. As Prod•gnosis acknowledges,

“getting there from here is the real challenge”

The transition requires more than just structural or process changes—it demands a fundamental shift in collective mindset.

The Challenge of Organisational Transformation

The Lean literature is replete with stories of organisations failing to move from vertical silos to horizontal value streams. Prod•gnosis presents additional challenges by proposing to remove software development from IT departments and create an entirely new organisational capability (the PDVS).

As Ward wisely noted and Prod•gnosis quotes:

“Change will occur when the majority of people in the organisation have learned to see things in a new way.”

This insight highlights that sustainable transformation depends on shifting collective beliefs rather than merely implementing new processes.

Organisational Psychotherapy as a Path Forward

In Organisational Psychotherapy I propose as a methodical approach to shifting collective assumptions and beliefs. As an Organisational Psychotherapist, I apply psychotherapy techniques not just to individuals but to entire organisations.

OP recognises that organisations, like individuals, operate based on deep-seated assumptions and beliefs—i.e. “memeplexes” These collective mental models determine how an organisation functions and often unconsciously resist change. And see my book “Hearts over Diamonds” (Marshall, 2018) for more in-depth discusion of memeplexes.

Organisational Psychotherapy works by:

Helping organisations become aware of their current collective beliefs (surfacing)
Examining how these beliefs serve or hinder effectiveness (reflecting)
Supporting the organisation in exploring new, more productive mental models
Facilitating the adoption of these new models

For organisations seeking to move toward Prod•gnosis, this might involve addressing fundamental beliefs about:

The nature and purpose of product development
The relationship between software development and IT
The definition of “whole product”
The organisation’s relationship with customers and all the Folks That Matter™
How value flows through the organisation

As Prod•gnosis emphasises, this isn’t a quick fix. The transformation to Prod•gnosis represents a significant evolution in how organisations think about and structure product development. The journey requires patience, persistence, and a willingness to examine and change foundational assumptions about how product development might work significantly better.

Conclusion

The synthesis of Allen Ward’s operational value stream concept and Prod•gnosis offers a powerful framework for rethinking product development. By viewing product development as the creation of complete operational value streams and establishing organisational structures that support this perspective, organisations can potentially achieve the kind of rapid, profitable product development that Toyota has demonstrated.

As more organisations struggle with digital transformation and the ever-increasing importance of software in product development, these two complementary approaches may provide a valuable roadmap for fundamentally rethinking how products are developed and brought to market.

What are your thoughts on the operational value stream approach to product development? Have you seen examples of it in practice? I’d love for you to share your experiences in the comments below.

Why Change Management Fails

April 16, 2025

Article, Business, Change management, Collective psyche, Digital evolution, Improvement, Marshall Model, Memeology, Organisational effectiveness, Organisational Therapy, Quintessence, Rightshifting

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Why Change Management Fails

The Hidden Culprit Behind Failed Transformations

When organisations embark on change initiatives, the statistics are sobering: approximately 70% fail to achieve their objectives. The knee-jerk reaction is to blame change management itself—the practices, frameworks, and approaches designed to shepherd organisations through transformations. But this critique misses the mark entirely.

Change management isn’t failing us. Rather, it’s the underlying mindset through which we apply these methods that dooms so many initiatives even before they begin.

The Marshall Model: A Framework for Understanding Organisational Evolution

The Marshal Model – “A Model of Organisational Evolution” provides a powerful context for understanding why so many change initiatives fail. Described as a “Dreyfus Model for organisations,” it maps the journey of organisational effectiveness through seven stages across four fundamental collective mindsets (a.k.a. organisational psyches):

Ad-hoc: Characterised by chaos, making up how to do things on the spur of the moment, in tha face of e.g. crises
Analytic: Focused on rules, processes, hierarchies and structured approaches
Synergistic: Systems-thinking oriented, recognising interdependencies and the key role of “socio-” in “socio-technical systems”
Chaordic: Intuitive, adaptive, and thriving at the overlapping edge of chaos and order

According to the Marshall Model, most organisations cluster in the left-most portion of this spectrum—primarily in the Ad-hoc and Analytic mindsets (Marshall, 2010). These mindsets are precisely where our change management problems begin.

Diagram illustrating the four mindsets of organisational transformation, with the Rightshifting curve behind 3d diagram of the Marshall Model

The Analytic Mindset Trap

The Analytic mindset, as the Marshall Model defines it, “exemplifies, to a large extent, the principles of Scientific Management a.k.a. Taylorism.” Typical characteristics include:

A Theory-X posture toward staff
A mechanistic view of organisational structure (hierarchies and functional silos)
Local optimisation over system-wide effectiveness
Middle-managers as owners of “the way the work works”
Command-and-control style management

This mindset dominates modern corporates and thus modern corporate change management, manifesting in detailed change plans, comprehensive stakeholder analyses, meticulously documented communication strategies, and carefully plotted implementation roadmaps.

On paper, this approach appears obvious, thorough and professional. In practice, it most often fails spectacularly.

Why the Analytic Mindset Fails Change Initiatives

The Analytic mindset appears to offer what traditional change management values—structured processes, documentation, clear rules, and methodical planning. However, these very characteristics that seem beneficial actually create fundamental problems when applied to complex human systems. The Analytic approach fails change initiatives in several critical ways:

1. It treats organisations as machines rather than living systems

The Marshall Model notes that Analytic organisations view themselves mechanistically, with functional silos and local optimisation. This approach fundamentally misunderstands the organic, emergent nature of human systems.

As the Marshall Model suggests, more effective organisations (those in the much rarer Synergistic and Chaordic mindsets) recognise that “individual tasks within an organisation are co-dependent on each other, and only have relevance in getting some larger end purpose accomplished.”

2. It overvalues rigid adherence to rules

The Marshall Model characterises Novice Analytical organisations as showing “rigid adherence to rules” with “little or no discretionary judgement.” When this mindset is applied to change management, it creates brittleness precisely when adaptability is most needed.

The model suggests that more effective, e.g. Quintessential, organisations evolve beyond this rule-fixation towards seeing situations holistically, using maxims for guidance where “meaning may vary according to context.”

3. It fragments the organisation into disconnected parts

In the Competent Analytical stage, “all areas of the business are treated separately and given equal encouragement to improve,” with a “situational perception still unwittingly focussed on local optima.”

This fragmentation creates change initiatives that optimise departmental functions at the expense of the whole system, missing what the Marshall Model describes as the Synergistic awareness of “constraints, whole-system throughput and capabilities.”

4. It remains unconsciously incompetent

Perhaps most critically, the Marshall Model notes that organisations in the Ad-hoc and Analytic mindsets share a common characteristic: they are “unconsciously incompetent.” They don’t know what they don’t know.

This explains why so many change initiatives powered by the Analytic mindset proceed with supreme confidence despite fundamental flaws in their approach. The organisation lacks the metacognitive capacity to recognise its own limitations.

(Note: We speak here mainly of the shortcomings of Analytic-minded organisations, as Ad-hoc minded organisations are unlikelt to even consider change management as an option).

Moving Toward More Effective Change: The Synergistic Mindset

The Marshall Model suggests that to improve effectiveness, organisations might choose to evolve toward the Synergistic mindset, characterised by:

A Theory-Y orientation (respect for people)
An organic, emergent, complex-adaptive socio-technical system view
Organisation-wide focus on learning, flow of value, and effectiveness
Middle-managers respected for experience and domain knowledge and redeployed as servant leaders
Self-organising teams and systemic improvement efforts

This evolution doesn’t happen easily. The Marshall Model notes that between eachof the four mindset lies a “transition zone” where “major upheaval—in the form of a shift of mindset—is required to proceed further.” See: Organisational Psychotherapy as explained in detail and at length in my book “Hearts Over Diamonds”.

Practical Implications for Change Management

Understanding the Marshall Model fundamentally shifts how we might choose to approach change management and organisational change:

Recognise our current mindset: Most organisations attempting change initiatives operate from the Analytic mindset, with all its accompanying limitations
Build awareness of the transition challenge: Moving from Analytic to Synergistic thinking requires what the Marshall Model calls “major upheaval” that preserves “the momentum of change at major decision points”
Adopt systems thinking: Seeing the organisation as an interconnected whole rather than separate parts to be optimised independently
Embrace conscious incompetence: The Early Synergistic stage involves “conscious, deliberate consideration of the organisation as a system” and acknowledging what we don’t yet know
Expect resistance: The Marshall Model warns of the “potential for reversion to Analytical thinking” during the transition, indicating the need for vigilance and persistence

Conclusion: Change Management Through a New Lens

Change management approaches aren’t inherently flawed—they’re being applied through an constraining mindset that guarantees suboptimal results. The Marshall Model helps us understand that lasting organisational change requires more than process improvements; it demands fundamental shifts in how we perceive organisations themselves – in our collective assumptions and beliefs about work and how work works. See alseo: Quintessence.

As the author himself notes, “The prevailing mindset of an organisation comprehensively determines how effective it is, and moreover, how effective it can hope to become.”

Perhaps the most important step in improving change outcomes isn’t adopting new change mangement practices but evolving the mindset through which we apply them—moving from the mechanistic Analytic view that dominates most change initiatives toward the more holistic, systemic perspective that characterises truly effective organisations.

The Ripple Effect: How Small Actions Create Lasting Impact

December 27, 2024

Antimatter principle, Article, Community, Culture change, Digital evolution, Fellowship, Relationships

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The Ripple Effect: How Small Actions Create Lasting Impact

Understanding the Power of Positive Ripples

The concept of ripple effects in business settings mirrors that of a small stone dropped into still water. Each action, no matter how seemingly insignificant, has the potential to create waves of influence that extend far beyond its initial impact. In the workplace. These ripples can transform company culture, boost productivity, and forge stronger relationships amongst colleagues, ultimately flowing into personal lives and broader society.

Digital Evolution: A Natural Progression

Unlike the often disruptive nature of digital transformation, digital evolution represents a more organic approach to business improvement. This gradual, iterative process creates beneficial ripple effects throughout an organisation. When one team successfully adopts new shared assumptions and beliefs, their positive experiences naturally influence other folks to embrace similar changes. This evolutionary approach reduces resistance and creates sustainable progress.

Adaptive Integration

The ripple effects of digital evolution manifest through natural adoption patterns. As colleagues witness the benefits of new ways of thinking asnd acting, they become more receptive to change. This organic spread of digital literacy and acceptance creates a more resilient and adaptable workplace culture, with employees often bringing these more effective assumptions and beliefs into their personal lives and community activities.

Workplace Dynamics and Chain Reactions

When examining workplace dynamics, it becomes evident that beneficial ripple effects often start with small shifts. Someone who consistently offers genuine praise might inspire folks across the organisation to adopt similar practices. This cascading effect can gradually reshape the organisation’s approach to recognition and motivation, with employees often adopting these positive communication patterns in their personal relationships both inside and outside the workplace.

The Business Case for Positive Actions

Financial Benefits

Positive ripple effects frequently translate into tangible business outcomes. For instance, when a company prioritises employee wellbeing, the initial investment often yields substantial returns through reduced sick leave, increased productivity, and enhanced talent retention. These improvements cascade through the whole organisation, ultimately strengthening the organisation’s bottom line and contributing to employees’ financial security and life satisfaction.

Innovation and Creativity

When team members feel valued and supported, they’re more likely to share innovative ideas. This openness can spark a chain reaction of creative thinking across the organisation, leading to breakthrough solutions and competitive advantages in the marketplace. This enhanced creativity often spills over into personal pursuits and community initiatives, too.

Nurturing Professional Relationships

Building Trust Networks

Trust-building creates some of the most powerful ripple effects in busainess settings. When one person demonstrates reliability and transparency, it encourages reciprocal behaviour from colleagues. This mutual trust gradually extends throughout the organisation, fostering a more collaborative work (CKW) environment and often improving personal relationship dynamics.

Mentorship Multiplier Effect

Perhaps one of the most profound examples of beneficial ripple effects lies in mentorship. When experienced folks invest time in guiding others, they create a multiplier effect. Their mentees often go on to become mentors themselves, perpetuating a cycle of knowledge-sharing and development that extends even into community mentoring and family relationships.

The Social Ripple Effect

From Workplace to Home Life

Individual and team growth and positive workplace experiences significantly influence home life. Improved communication skills, enhanced emotional intelligence, and better stress management techniques learned at work naturally transfer to personal relationships. Parents might apply collaborative problem-solving (CKW) approaches with their children, while partners might adopt more effective listening strategies in their relationships.

Community Impact

As people develop stronger interpersonal skills and positive habits at work, they often become more engaged community members. The confidence and capabilities gained in workplace settings can lead to increased civic participation, volunteer work, and community fellowship roles.

Digital Enablement of Positive Ripples

The evolutionary approach to digital adoption amplifies positive ripple effects through enhanced connectivity and collaboration tools. Virtual mentoring platforms, digital collaboration tools, and collaborative workspaces extend the reach and impact of beneficial actions across geographical boundaries and organisational hierarchies.

Practical Implementation Strategies

To harness the power of positive ripple effects, organisations can implement several key strategies:

Start with authentic role-model behaviours that demonstrate desired values and practices. These actions naturally cascade through the organisation.
Embrace digital evolution by allowing teams to naturally discover and adopt beneficial changes at their own pace.
Create opportunities for cross-departmental collaboration, allowing positive practices to spread organically throughout the organisation.
Establish programmes that highlight and celebrate instances of positive impact, encouraging others to emulate beneficial behaviours.

Measuring Long-term Impact

While immediate effects might be readily apparent, the true value of positive ripple effects often emerges over time. Organisations might choose to implement long-term monitoring to track how initial actions influence various aspects of business performance, workplace culture, and broader social impact.

Looking Beyond the Workplace

The influence of positive ripple effects extends far beyond office walls, as exemplified by the remarkable legacy of DECUS (Digital Equipment Computer Users’ Society). This volunteer-driven organisation, which began as a simple user group for Digital Equipment Corporation’s customers, evolved into one of the most influential technical communities of its time. DECUS demonstrates how workplace initiatives can catalyse broader social impact.

The DECUS model showed how inter-personal relationships formed through work-related activities could blossom into lasting networks of innovation, knowledge sharing and friendship / fellowship. Members who initially joined to solve their own workplace challenges ended up creating educational programmes, developing open-source solutions, and fostering a culture of collaborative problem-solving that extended well beyond their company roles. Their technical symposia became legendary gathering places where ideas freely flowed between academia, industry, and hobbyist communities.

Much like DECUS’s ripple effects transformed the 1980s mini-computing landscape, today’s improved workplace relationships lead to enhanced customer service, stronger community engagement, and better work-life balance. When DECUS members brought their collaborative ethos back to their organisations, they created positive cycles that reinforced and amplified the initial beneficial actions. The society’s influence extended into members’ personal lives, with many participants forming lifelong friendships and mentoring relationships that transcended their business connections.

This historical example remains relevant today, as we sometimes see similar patterns in modern technical communities and professional networks. These benefits continue to contribute to societal wellbeing and social progress, just as DECUS’s volunteer-driven ethos helped democratise access to computing knowledge and expertise. The organisation’s legacy reminds us that when workplace initiatives are structured to encourage openness, collaboration, and community engagement, their positive impact can ripple throughout society for generations to come.

Conclusion

Understanding and intentionally creating positive ripple effects represents a powerful approach to organisational development and societal advancement. By recognising that every action has the potential for widespread impact, folks can make more informed choices about their behaviour and initiatives. When combined with a measured approach to digital evolution, these positive actions can transform workplace cultures, strengthen business outcomes, and create lasting beneficial change throughout inter-business networks, personal lives, and society at large.

A Guide to Meaningful Living

December 27, 2024

Actionable Insights, Antimatter principle, Article, Digital evolution, Familiar, Meaning, Motivation, Organisational Therapy, Psychology, Psychotherapy

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A Guide to Meaningful Living

The Man Behind the Method

Viktor Frankl’s journey through the darkest depths of human experience in Nazi concentration camps led to profound insights about life’s meaning. As a psychiatrist and Holocaust survivor, he developed Logotherapy—a therapeutic approach centred on the pursuit of meaning as the primary driver of human behaviour and wellbeing.

The Search for Meaning: Core Principles

Frankl’s approach suggests that life’s meaning isn’t something we create, but rather something we discover. Like a detective following clues, we must remain alert to the possibilities for meaning that exist in every moment, even in suffering.

Three Pathways to Purpose

1. Creative Endeavours

By creating something valuable or performing meaningful work, we contribute to the world. Whether you’re writing poetry, building furniture, or teaching children, the act of creation connects us to something larger than ourselves.

2. Experiential Encounters

We find meaning through experiences and relationships—particularly through love. Frankl believed that by loving another person, we enable them to actualise their potential whilst simultaneously discovering purpose in our own lives.

3. Attitudinal Choices

Perhaps most profoundly, Frankl argued that we can find meaning in how we choose to face unavoidable suffering. When we cannot change our circumstances, we can still choose our attitude towards them.

The Power of Meaning

Rather than asking “What do I want from life?”, Frankl encourages us to consider “What does life want from me?” This subtle shift transforms us from passive consumers of experience into active respondents to life’s challenges.

Practical Applications for Modern Life

Daily Meaning Reflection

Take time each evening to consider three questions:

What did I create today that mattered?
Whom did I connect with meaningfully?
How did I respond to challenges with dignity?

The Meaning Diary

Keep a journal documenting moments of meaning, however small. A child’s smile, a colleague’s gratitude, or the satisfaction of a task well done—these are the building blocks of a purposeful life.

Beyond Happiness

Frankl’s radical proposition is that we might choose to not aim directly for happiness. Instead, we can choose to see happiness as a by-product of living meaningfully. When we commit ourselves to worthy causes and invest in meaningful relationships, contentment tends to follow naturally.

Modern Echoes in Positive Psychology

Frankl’s insights find powerful resonance in contemporary positive psychology, particularly in the work of Martin Seligman. In his seminal book “Flourish”, Seligman expands upon Frankl’s foundation, proposing that true wellbeing encompasses meaning alongside other vital elements like positive emotions, engagement, relationships, and accomplishment (PERMA). This modern framework validates Frankl’s emphasis on meaning whilst placing it within a broader context of human flourishing.

Motivation and Meaning: Pink’s Contribution

Dan Pink’s influential work “Drive” provides a crucial bridge between individual meaning-seeking and organisational effectiveness. Like Frankl, Pink challenges traditional assumptions about human motivation, arguing that once basic needs are met, people are driven not by external rewards but by intrinsic factors that align closely with Frankl’s vision of meaningful living.

Pink’s three elements of true motivation—autonomy, mastery, and purpose—echo and extend Frankl’s insights:

Autonomy and Attitudinal Freedom

Pink’s emphasis on autonomy—the desire to direct our own lives—parallels Frankl’s insistence on our freedom to choose our attitude in any circumstance. In both frameworks, human dignity and meaning emerge from this fundamental freedom of choice.

Mastery and Creative Value

The drive toward mastery that Pink identifies corresponds with Frankl’s pathway of creating value through work. Both thinkers recognise that humans find deep satisfaction in developing skills and contributing meaningfully to the world.

Purpose as the Ultimate Driver

Most significantly, Pink’s emphasis on purpose as the highest form of motivation directly reinforces Frankl’s central thesis about meaning. Both argue that connecting to something larger than ourselves—what Pink calls “purpose” and Frankl calls “meaning”—represents the apex of human motivation and fulfillment.

Logotherapy in Organisational Contexts

The Collective Search for Meaning

Whilst Frankl primarily developed logotherapy for individual therapy, its principles have profound implications for organisational life too. Just as individuals seek meaning, organisations and their members collectively pursue purpose beyond profit—what management consultants now term ‘organisational purpose’.

Meaningful Work Design

Logotherapy’s principles can inform how organisations structure work and roles. When leaders understand that employees seek meaning through their work, they can design positions that:

Connect individual contributions to larger organisational purpose
Create opportunities for creative expression and problem-solving
Enable meaningful relationships and mentorships
Allow for personal growth through challenging situations

Organisational Culture and Values

Logotherapeutic approaches to organisational development emphasise:

Cultivating a shared sense of purpose that transcends individual roles
Creating spaces for collective meaning-making through dialogue and reflection
Developing leadership practices that acknowledge and support meaning-seeking behaviours
Building resilience through shared understanding of challenges as opportunities for growth

Crisis Management and Organisational Change

Frankl’s insights about finding meaning in suffering are particularly relevant to organisational change and crisis management. His principles suggest that organisations can maintain cohesion and motivation during difficult transitions by:

Framing challenges within a larger meaningful context
Encouraging collective ownership of responses to adversity
Recognising and celebrating examples of values-driven behaviour during hardship
Supporting teams in finding meaning through their collective response to challenges

Conclusion: The Ongoing Journey

Finding purpose “the Frankl way” isn’t a destination but a continuous journey of discovery. It requires openness to life’s possibilities and courage to engage with its challenges. As Frankl himself demonstrated, meaning can be found in any circumstance—we need only the wisdom to recognise it and the courage to embrace it.

By adopting Frankl’s approach, we might find that the question isn’t whether life has meaning, but rather how we might better attune ourselves to the meaning that already exists in our daily experiences.

Cruft

December 24, 2024

Antimatter principle, Article, Business, Cruft, Digital evolution

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Cruft

How Modern Businesses Are Suffocating Under Outdated Practices

Understanding Cruft: More Than Just Digital Detritus

The term ‘cruft’ emerged from tech and computing culture, where it was adopted to describe redundant, outdated, or poorly built computer code that remains in products simply because ‘it’s always been there’, because ‘it seems to work’ or because “we don’t know what it does, how it works, or whether to remove it”. From these technical origins, the concept has evolved to encompass any unnecessary complexity that accumulates over time.

In modern usage, cruft refers to any accumulated practises, policies, processes, or beliefs that persist despite having long outlived their usefulness. This includes not just tangible processes and structures, but also the invisible web of shared assumptions, cultural beliefs, and collective mental models that shape how organisations think and behave. Like digital barnacles, these elements continue to exist not because they serve a valuable purpose, but because they’ve become so deeply embedded in organisational structures and psyche that questioning them feels almost heretical.

The psychological dimension of cruft is particularly pernicious. Just as individuals can benefit from therapy to examine and update their outdated and relatively ineffective belief systems, organisations often require a form of ‘organisational psychotherapy’ to prompt them to surface and challenge their deep-seated assumptions about how business might better be conducted. These mental models – often formed in vastly different business contexts decades or even centuries ago – can severely undermine organisational effectiveness, especially as things change.

What makes cruft particularly insidious is its tendency to grow like a cancer over time. Each layer of cruft often requires additional processes or systems to manage it, creating, in business contexts, what we might call ‘organisational debt’. This debt compounds as new practices are layered atop old ones, rather than replacing them entirely, while outdated assumptions continue to shape decision-making in ever-increasingly counterproductive ways.

The Hidden Weight of Historical Baggage

In boardrooms and offices across Britain and beyond, organisations large and small are quietly drowning in ‘cruft’ – the accumulated detritus of past decisions, obsolete processes, and antiquated assumptions that continue to shape how we work. Like barnacles on a ship’s hull, these historical accretions slow progress and drain resources, yet often remain invisible to those at the helm. For examples, see my post from way back titled “Baggage“

The Many Faces of Corporate Cruft

Hierarchical Holdovers

Perhaps the most pervasive form of cruft in modern business is the persistence of rigid hierarchical structures that mirror 19th-century military organisations, religious organisations since medieval times, and, more troublingly, draw upon management principles developed for Caribbean slave plantations in the 18th century. These plantation management techniques – including strict hierarchies, close surveillance, productivity metrics, and standardised reporting – were later adopted by early industrial enterprises and remain embedded in many modern management practices. Despite overwhelming evidence that flatter, more dynamic structures foster innovation and adaptability, and thus profitability, countless firms remain unwittingly wedded to these dark industrial-age and even medieval paradigms.

The Meeting Malaise

The humble meeting, a relic of an era when gathering people in one room was the only way to share information effectively, continues to devour countless productive hours. While virtual collaboration tools offer more efficient alternatives, the cultural inertia around meetings proves remarkably resistant to change.

The Real Cost of Keeping Cruft

The financial impact of maintaining outdated systems and processes extends far beyond the obvious inefficiencies. Companies expend resources training new employees in byzantine procedures that serve no useful current purpose, while opportunities for innovation are stifled by the overheads and distractions of navigating unnecessary complexity.

Why Cruft Persists

The Comfort of Familiarity

Human beings are creatures of habit, and nowhere is this more evident than in organisational settings. Even when presented with clear evidence that certain practices are counterproductive, many organisations cling to them simply because they’re familiar.

The Risk-Averse Mindset

In many corporate environments, the perceived risk of changing established processes outweighs the known cost of maintaining them. This risk aversion creates a perfect environment for cruft to flourish unchallenged.

The Path Forward

As we move deeper into the 21st century, the ability to identify and eliminate cruft may become an increasingly crucial competitive advantage. Those organisations that succeed in shedding their historical baggage while preserving those (few) truly valuable traditions will be best positioned to thrive..

The challenge lies not in recognising the problem – most business leaders are aware of the dead weight their organisations carry – but in finding the courage to begin the messy work of indentification and elimination. The future belongs to those bold enough to question everything, even the seemingly unquestionable aspects of how we work. Here is where habitual surfacing and reflecting on cruft can help.

Conclusion: The Price of Inaction

The accumulation of cruft in modern businesses represents more than just inefficiency – it embodies a form of organisational arthritis that gradually but inexorably reduces agility, innovation, and competitiveness. In an era where adaptability is key, the cost of maintaining historical cruft grows exponentially.

Yet there’s reason for optimism. The very recognition of cruft as a concept provides us with a powerful lens through which to examine our organisations. The companies that will thrive in the coming decades won’t be those with the most impressive historical pedigrees or the most advanced technologies, but those most willing and able to regularly examine, question, and jettison the accumulated weight of their own crufty shared assumptions and beliefs.

The first step in this journey isn’t necessarily radical change – it’s simply the willingness to ask “why?” about every process, every policy, and every assumption. In doing so, organisations may discover that their greatest competitor isn’t their industry rival, but rather the ghost of their own past practices haunting their present and future potential, frustrating their collective needs.

Modernising Investors in People (IiP)

December 23, 2024

Antimatter principle, Article, Culture change, Digital evolution, HR, Investment, Organisational effectiveness, Organisational Therapy, Paradigm shifts, Quintessence, Reinvention, Revolution, SAR Organisations

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Modernising Investors in People (IiP)

Introduction

The Investors in People scheme, launched by the UK governement back in 1991, is now largely regarded throughout industry as a joke. And a tragic joke, at that.

The present Investors in People (IiP) framework, attending as it does solely to the needs of organisations for positive optics regarding their relationship with employees, no longer serves the needs of modern SAR (surfacing and reflecting) organisations. Through its rigid assessment frameworks and checkbox-style evaluations, the Growth Company’s IiP approach perpetuates a superficial view of organisational evolution and “people management”. Where organisations need deep understanding and genuine evolution, IiP offers only compliance and surface-level assessments.

Admiral Grace Hopper’s wisdom that “You manage things; you lead people” crystallises the fundamental shift this approach represents. Where traditional IiP frameworks attempt to manage people through metrics and standards, this approach recognises that genuine organisational development requires attention to folks’ needs, honoring human complexity and natural growth patterns.

This new approach strips away the artifice of standardised certifications to reveal what truly matters: the collective psyche of organisations, the authentic needs of people, and the natural evolution of human systems in a digital age. It recognises that organisational effectiveness emerges not from enforced standards but from understanding and working with the deeper currents of collective human experience.

Within this new approach, organisations discover pathways for genuine evolution beyond superficial change. They engage deeply with collective beliefs and assumptions, following natural, evidence-based paths to organisational well-being. Through authentic, relationship-centred growth and harmonious integration of human needs with digital capabilities, they recognise and work with true organisational complexity and emergence.

This syllabus charts a path beyond the constraints of traditional IiP certification, toward authentic organisational health and effectiveness.

Core Principles

This program is built on the nine principles of Organisational Psychotherapy:

Risk Awareness – Understanding and managing intervention risks through careful observation and measured response
Do No Harm – Ensuring interventions support rather than hinder organisational health
Collective Psyche Response – Working with the organisation’s collective mind to enable authentic growth
Mutual Benefits – Seeking outcomes that serve the needs of all the Folks That Matter™ through shared understanding
Trust – Building networks of mutual-trust relationships that enable authentic change
Well-being First – Prioritising organisational flourishing above metric-driven targets
Work in the White Space – Focusing on relationships between people and groups as the primary medium of change
Cognitive Harmony – Addressing organisational cognitive dissonance through gentle reflection
Evidence-Based – Grounding interventions in proven approaches while maintaining flexibility

Learning Objectives

The program develops deep capabilities in organisational transformation. Participants master evidence-based approaches to organisational development and learn to work effectively with collective psyche intervention techniques. They gain expertise in enabling evolution while maintaining organisational well-being, creating sustainable relationship-centered systems that endure. Through building networks of mutual trust, they enable genuine collective learning and growth that emerges from within the organisation itself.

Module 1: Foundations of Organisational Psychotherapy

Risk-Aware Intervention Framework

The framework begins with a deep understanding of organisational intervention risks and their implications. Through careful development of safety nets and support systems, practitioners learn to create ethical intervention guidelines that respect organisational boundaries. Risk management strategies evolve naturally from this understanding, leading to meaningful ways of measuring intervention impacts that honour the organisation’s journey.

Collective Psyche Development

Understanding the organisational mind forms the cornerstone of effective intervention. Practitioners develop expertise in working with collective assumptions and beliefs, conducting cognitive harmony assessments that reveal underlying patterns. The work focuses on building mutual-trust networks through evidence-based intervention strategies that respect organisational wisdom.

Module 2: Digital Evolution & Human Systems

Digital Transformation Foundations

Digital transformation emerges through a human-centred lens, acknowledging the psychological dimensions of technology adoption. The module explores digital workplace wellness as an integral aspect of organisational health, finding the delicate balance between automation and human touch. Adaptive systems thinking guides the integration of digital tools with human needs.

Integration of Human & Digital Systems

Socio-technical systems design provides the framework for meaningful integration. Human-AI collaboration develops through careful attention to relationship patterns and needs. Digital tools serve human connection rather than replace it, while remote work psychology informs the development of digital well-being approaches that serve the whole organisation.

Module 3: White Space Work & Relationships

Relationship-Centred Development

The focus shifts to the spaces between formal structures where real change often occurs. Relationship networks develop through careful attention to connection patterns and group dynamics. Development frameworks emerge from understanding these patterns, leading to organic ways of assessing relationship health within the organisation.

Cognitive Harmony Integration

Cognitive dissonance receives careful attention through gentle exploration of collective beliefs. Shared mental models emerge through dialogue and reflection, leading to coherent organisational narratives that serve authentic growth. Sustainable harmony practices develop from this deep understanding of collective thought patterns.

Module 4: Implementation & Practice

Creating Adaptive Organisations

Learning becomes an integral part of organisational life through natural feedback systems that serve growth. Change capability develops through attention to emerging patterns, while innovation cultures arise from genuine engagement with possibilities. Organisational adaptability emerges as a natural consequence of this approach.

Sustainable Human Systems

Long-term well-being emerges through careful attention to sustainable performance patterns. Work-life integration develops naturally when organisations attend to genuine human needs. Mental health support becomes woven into the organisational fabric, while community building practices strengthen relationships at all levels.

Implementation Philosophy

The implementation follows Rogerian therapeutic principles, recognising that organisations, like individuals, have an inherent tendency toward growth and self-actualisation when provided with the right conditions. The facilitator creates conditions for organic evolution rather than directing or imposing change.

Phase 1: Creating the Space

The initial period focuses on establishing genuine psychological contact with the organisation. Authentic relationships develop at all levels through careful attention and presence. The emergence of organisational voice occurs naturally within conditions of unconditional positive regard and growing self-awareness.

Phase 2: Accompanying Growth

As the organisation finds its natural rhythm of change, self-directed exploration becomes possible. Organisational discoveries receive careful reflection, while collective processing occurs within spaces held specifically for this purpose. Authentic dialogue emerges as trust deepens.

Phase 3: Supporting Integration

The maturing period witnesses natural organisational growth through reinforcement of authentic changes. Self-sustained development emerges as the organisation recognises and trusts its own wisdom. Ongoing surfacing and reflection becomes integrated into organisational life.

Facilitation Approach

The non-directive facilitator maintains unconditional positive regard while allowing the organisation to set its own pace and direction. Change emerges from within rather than being imposed, guided by trust in the organisation’s inherent wisdom. Genuine relationships develop through deep listening and empathetic understanding, while collective reflection enables natural growth.

Natural Evolution

Evolution occurs through regular gathering of insights and sharing of perspectives. Deep understanding develops through ongoing dialogue and careful attention to emerging patterns. Practice evolves naturally as the organisation integrates new learning, while community wisdom enriches the journey.

Supporting Resources

Knowledge Framework

Digital assessment platforms serve as tools rather than drivers of change. Needs mapping emerges from genuine inquiry, while cultural assessment honours organisational complexity. Performance measurement develops in service of growth rather than judgment.

Learning Integration

Case studies provide reflection points rather than prescriptive solutions. Implementation guidance emerges from shared experience, while reference materials support rather than direct the journey. Online learning serves authentic development needs.

Support Ecosystem

Mentoring relationships develop organically in service of growth. Peer learning networks emerge from shared experience, while expert interventrion supports rather than directs. Communities of practice evolve naturally around shared learning and development.

Conclusion

This reimagining of Investors in People moves beyond superficial frameworks and certifications to engage with what truly matters in organisational life. Where traditional IiP sought to standardise and measure, this approach creates space for genuine emergence and growth. Through careful attention to the collective psyche, shared assumptions and beliefs, relationship patterns, and slef-paced evolution, organisations discover their authentic path to effectiveness

The journey from compliance-based assessment to genuine organisational development requires courage and patience. It asks organisations to trust their inherent wisdom, to work with rather than against their natural patterns, and to value authentic growth over quick fixes. In doing so, they move beyond the artificial constraints of traditional frameworks to discover what investing in people truly means.

This approach recognises that organisational health cannot be reduced to checkboxes or enforced through standardised measures. Instead, it emerges through careful attention to relationships, respect for collective wisdom, and trust in natural development patterns. The result is not just better metrics or improved performance, but fundamentally healthier organisations where both people and purpose can flourish.

Discussing Digital Evolution

December 23, 2024

Article, Digital evolution, Organisational Therapy, Podcast

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Discussing Digital Evolution

Following on from my previous post about Defining Digital Evolution: A Fresh Perspective on Organisational Change, our podcast team has been discussing the post, the topic of Digital Evolution, Michele Brissoni’s views thereon, and the intersection with Organisational Psychotherapy.

You can listen to it here.

I would be delighted to hear from you about your thoughts on the topic.

– Bob

Defining Digital Evolution: A Fresh Perspective on Organisational Change

December 22, 2024

Antimatter principle, Article, Collective psyche, Culture change, Digital evolution, Fellowship, Quintessence, SAR Organisations

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Defining Digital Evolution: A Fresh Perspective on Organisational Change

The Shift from Transformation to Evolution

In the realm of organisational change, we’ve long been captivated by the allure of digital transformation. Yet, as countless failed initiatives have shown, the very notion of ‘transformation’ might be fundamentally flawed. Enter digital evolution: a paradigm that recognises change as an organic, continuous process rather than a series of dramatic upheavals. This approach, when coupled with organisational psychotherapy, acknowledges that our collective assumptions and beliefs about change often need as much attention as the change itself.

Understanding the Core Principles

Natural Progression vs Forced Change

Much like biological evolution, digital evolution operates through gradual, purposeful adaptation. Rather than imposing sweeping changes from above, organisations evolve through a series of meaningful adjustments, each building upon previous successes and learning from setbacks. Organisational psychotherapy reveals how our shared mental models and unconscious assumptions govern this evolutionary journey.

Knowledge Work Recognition

At the heart of digital evolution lies a crucial understanding: digital initiatives are a form of collaborative knowledge work. This distinction demands management approaches that differ fundamentally from traditional industrial-era practices. Through organisational psychotherapy, we uncover how deeply ingrained beliefs about management and control can impede this recognition. Readers interested in diving more deeply into these beliefs might like to read my book “Quintessence“.

The Evolutionary Ecosystem

Cultural Foundations

A thriving digital evolution requires fertile ground. This means nurturing a culture where:

Learning is continuous and celebrated
Experimentation is encouraged
Collective assumptions and beliefs are regularly surfaces and reflected upon
Skilled positive conflict enables authentic collaboration Cf. Lencioni’s Five Dysfunctiona of a Team
Shared beliefs support rather than hinder progress

Skills Development

Rather than expecting instant expertise, digital evolution embraces the gradual development of truly effective shared assumptions and beliefs, and capabilities. We migh think of it as cultivating a garden: you can’t force plants to grow faster, but you can create optimal conditions for their development. This includes addressing both technical skills and a memeplex which provides readiness for change.

Measuring Progress

Behavioural Indicators and Psychological Shifts

Evolution examines both behavioural changes – stemming from changes to foundational shared assumptions and beliefs – and psychological shifts that indicate genuine progress:

How teams collaborate and process challenges together
How collective decision-making patterns evolve
How knowledge and emotions are shared
How shared mental models adapt and mature

Sustainable Outcomes

Success in digital evolution isn’t measured in dramatic transformations but in sustainable improvements that benefit all the Folks That Matter™. This includes enhanced psychological well-being, improved team dynamics, and more resilient organisational capabilities.

Practical Implementation

Starting the Journey

Begin with honest assessment of both technical capabilities and psychological readiness. Understanding your organisation’s current state—its strengths, weaknesses, cultural dynamics, and collective assumptions—provides the foundation for evolutionary progress.

Creating Supportive Structures

Establish frameworks that encourage natural evolution and psychological growth:

Cross-functional learning opportunities
Regular reflection on shared beliefs and assumptions
Safe spaces for emotional processing
Platforms for sharing both knowledge and experiences

The Role of Organisational Psychotherapy

Understanding Organisational Patterns

Organisational psychotherapy reveals the underlying patterns and behaviours that shape evolution. It helps surface collective assumptions that either enable or inhibit progress, making the invisible visible.

The Therapeutic Approach

Similar to how digital evolution views change as organic rather than forced, organisational psychotherapy recognises that true organisational healing comes from within. It helps organisations:

Identify unconscious patterns that hinder progress
Address collective trauma from past failed initiatives
Develop healthier relationships between teams and between departments

Building Collective Intelligence

The integration of digital evolution and organisational psychotherapy develops both technical and emotional intelligence. This manifests in:

Better understanding of resistance to change
More effective processing of collective emotions
Enhanced ability to navigate uncertainty together
Stronger relationships built on fellowship, shqared purpose, trust, and shared meaning

Conclusion

Digital evolution represents more than a mere rebrand of transformation efforts. It’s a fundamental rethinking of how organisations adapt to an increasingly digital world, acknowledging the crucial role of psychological readiness and collective mindsets (a.k.a. memeplexes) in this journey.

The path forward isn’t about dramatic overhauls but about nurturing an environment where positive change can flourish organically. By addressing both the technical and psychological dimensions of change, organisations can evolve more naturally and sustainably. And ironically, producing a dramatic overhaul wich a mucxh greater chance of success.

This holistic approach ensures that as digital capabilities evolve, the organisation’s emotional and psychological maturity evolves alongside them. The result is not just improved technical capabilities, but a more resilient, psychologically healthy and needs-oriented environment where sustainable growth becomes almost inevitable.

Academic and Professional Books

Marshall, R. W. (2018). Hearts over Diamonds: Serving Business and Society Through Organisational Psychotherapy. FlowchainSensei Press via LeanPub.

Marshall, R. W. (2021). Memeology: Surfacing and Reflecting on the Organisation’s Collective Assumptions and Beliefs. FlowchainSensei Press via LeanPub.

Marshall, R. W. (2022). Quintessence: An Acme For Highly Effective Software Development Organisations. FlowchainSensei Press via LeanPub.

Marshall, R. W. (2024). Understanding Organisational Behaviour Through Evolutionary Stages. Think Different blog post.

Podcasts and Digital Media

Brissoni, M. (Host). (2023-2024). The forge of unicorns [Audio podcast]. Recommended episodes:

Episode 15: Organizational Assessments – Evolution Over Transformation
Episode 12: The Psychology of Change in Tech Organizations
Episode 8: From Digital Transformation to Digital Evolution

The Hidden Patterns Underlying Thinking Different

The Invisible Architecture of Breakthrough Innovation

The Cold War Cognitive Revolution You Never Heard About

Why Your Prompts Aren’t the Real Limitation

The Patterns of Thinking Different: A Framework for Breakthrough Innovation

Three Stories of Revolutionary Application

Beyond Static Tools: The Art of Thinking Different Together

The Socratic Renaissance: Ancient Wisdom Meets Modern Intelligence

The Durability Advantage: Skills That Transcend Technological Generations

The Hidden-in-Plain-Sight Principle

The Integration Challenge: From Pattern Recognition to Thinking Different

The Multiplier Effect: How Revolutionary Thinking Compounds

The Future of Human-AI Collaboration

The Choice Point: Technical Mastery or Thinking Different

The Invitation: Joining the Revolution in Thinking Different

Further Reading

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The Cultural Transformation Paradox: Why Digital Transformation Will Fail Wherever Agile Already Has

The Agile Mirage: Surface Changes, Deep Resistance

The Executive Comfort Zone Problem

Digital Transformation: Same Problem, Bigger Scale

The Predictable Pattern

Why We Keep Believing the Lie

The Uncomfortable Alternative

A Different Question

Further Reading

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The Great Executive Deflection: Agile, Digital Transformation, and the Avoidance of Real Change

The Comfortable Chaos of Transformation Theatre

The Harder Truth About Cultural Change

The Transformation Industrial Complex

Beyond the Theatre

The Path Forward

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From Operational Value Streams to Prod•gnosis

Connecting Allen Ward and Bob Marshall’s Product Development Philosophies

Introduction

The Foundation: Allen Ward’s Operational Value Streams

Prod•gnosis: Building on Ward’s Foundation

The Product Development Value Stream (PDVS)

Challenging IT’s Role in Product Development

Incremental Implementation

Key Points of Alignment

1. Value Stream-Centric View

2. Whole Product Approach

3. Systems Thinking

4. Flow Focus

Practical Applications of the Combined Approach

Getting There: Transitioning to Prod•gnosis

The Challenge of Organisational Transformation

Organisational Psychotherapy as a Path Forward

Conclusion

Further Reading

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Why Change Management Fails

The Hidden Culprit Behind Failed Transformations

The Marshall Model: A Framework for Understanding Organisational Evolution

The Analytic Mindset Trap

Why the Analytic Mindset Fails Change Initiatives

1. It treats organisations as machines rather than living systems

2. It overvalues rigid adherence to rules

3. It fragments the organisation into disconnected parts

4. It remains unconsciously incompetent

Moving Toward More Effective Change: The Synergistic Mindset

Practical Implications for Change Management

Conclusion: Change Management Through a New Lens

Further Reading

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The Ripple Effect: How Small Actions Create Lasting Impact

Understanding the Power of Positive Ripples

Digital Evolution: A Natural Progression

Adaptive Integration

Workplace Dynamics and Chain Reactions

The Business Case for Positive Actions

Financial Benefits

Innovation and Creativity

Nurturing Professional Relationships

Building Trust Networks

Mentorship Multiplier Effect

The Social Ripple Effect