Chapter 1
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THE CHALLENGES WE FACE

Let's start with a thought experiment. Assume you and your partner are parents of two teenage children, one boy and one girl. You have two weeks in the summer to take a vacation. How do you plan it? There are two ways you could make the decision. Under Option A, you and your partner simply decide that you're going to the Grand Canyon for two weeks and that your children have no say in the matter. You've made your decision by carefully analyzing the facts about travel times and budgets. All that's left is to declare your intention and go.

Option B might be to convene a discussion with your family to explore options. Your son might want to go to Charlottesville, Virginia and Washington, DC because he's interested in learning more about Thomas Jefferson. Your daughter, on the other hand, has an interest in genealogy, and she wants to go to Cincinnati to visit her grandmother and learn more about the origins of your family. Your partner suggests a trip to Seattle, because none of you have ever gone to the Pacific Northwest. You would prefer a trip to Boston and Maine, where you could, among other things, introduce the family to the joys of eating a lobster. With all these options, how do you decide? Chances are, you'd convene a family conversation, or maybe several, to see if you could come up with a plan that is at least acceptable to everyone.

Nobel Prize winner Herbert Simon called this second approach satisficing, a combination of the verbs “to satisfy” and “to suffice.” It means searching through available options and figuring out a solution that meets a minimum threshold of acceptability, a vacation that is “good enough” to satisfy everyone. Contrast this approach to Option A, which is more of a command‐and‐control decision with one decision maker, presumably in possession of all the relevant facts, making a rational decision.

Option B requires deeper conversations, and an embrace of ambiguity – and that's the point. Planning a family vacation is a complex project with no single, simple, rational answer. Each of us has a different idea of the ideal vacation. We have many options of what we could do. There is no way to put all of these factors into some equation and come up with an optimal answer. Instead, we learn to muddle through to a satisfactory solution.

As our example of a family vacation shows, most of us have some experience working with complex problems. We have some direct experience with both satisficing and muddling through. They are useful concepts when relatively few people are involved. But what happens when dozens or hundreds of people are involved? That's real complexity, and most of us don't have an approach to cope with it.

In essence, that's the problem we faced in Oklahoma City in the early 1990s: How do we make decisions about priorities with a lot of people involved if nobody can tell anyone else what to do? How do we make sensible choices? If no one person (such as the mayor) or no one organization (such as the Chamber of Commerce) can pull Oklahoma City out of its economic tailspin, what should we do?

Even today, companies, organizations, and communities facing complex challenges still try to opt for Option A. They try to find a rational answer by analyzing data – lots of data. Once an ostensibly rational answer is determined by a small group (to be fair, they've usually also included some way for a larger number of people to communicate their own preferences), they announce it and expect everyone else to follow. This is part of the traditional approach to strategic planning. But as many of those who have sat on a strategic planning committee will attest, this approach is increasingly unworkable (we'll explain why later in this chapter).

Companies face complexity every day. How do they make their organizations more agile? Rapid changes in consumer demand, technologies, regulations, and competition put a premium on the ability to respond and adapt quickly. Yet, most companies are caught in rigidity. Most are structured around functions, like marketing and finance; yet, innovation – the life force of any business – is not housed within any of these functions. Job descriptions may provide clarity to employees, but they also draw a fence around employee contributions to new ideas. Quality systems provide stability to existing products, but they do not encourage the experimental mindsets needed to discover “what's next.” Fear and risk aversion too often stifle new thinking. Instead of embracing new ideas, many companies have an immune system that is triggered to kill them. As one top manager in a Fortune 100 company asked us, “How do I make 10,000 employees more innovative?” A complex challenge, indeed.

The challenges faced by nonprofit organizations are no less daunting. As income disparities increase, the demands for social services accelerate, but resources are not keeping up. What's the result? Nonprofit managers are faced with increased competition for funding, while funders (trying to find a coherent way to allocate resources) demand ever more in the way of metrics and accountability. Without some way to manage this complexity, these factors set the stage for personal and professional burnout. University administrators are in a similar bind. The role of the university in the knowledge economy is rapidly shifting as declining public funding, new learning technologies, and continuously shifting market demands place different pressures on higher education institutions.

Closer to home, think of some of the complexities that our communities face. Our friends in Flint confront the collapse of both public safety (in the form of a severely weakened police department) and public health (the collapse of the city's water system). Across the United States, drug addiction, principally opioids, is killing about 65,000 Americans a year (about 180 people a day), with no community untouched. The epidemic of gun violence kills about half the number of people as drug overdoses, but the numbers are still staggering: about 38,000 Americans die from gun‐related injury each year (one third from homicides, two thirds from suicides).

Now step back and think as a global citizen. Climate change is accelerating. Global population is due to increase to 9.8 billion people by 2040. Energy demand will increase more than 50% by 2040. We need a 60% increase in food production by 2050, if global population grows as is currently forecast. We must rapidly answer some compelling questions:

  • How can we assure people access to clean water without conflicts?
  • How can our energy and food demands be met?
  • How do we reduce the threats of terrorism and the use of weapons of mass destruction?
  • How can we address climate change?

All of these challenges are daunting in large part because they are embedded in complex adaptive systems. A complex system is a system in which many independent components (or “agents”) interact with one another. As they do, they learn or adapt in response to their interactions. Examples of complex systems range from individual cells to cities, ecosystems, our climate and, indeed, our universe. These systems are difficult to model, because they have so many different agents creating a mind‐boggling array of interactions. Although scientists have been studying complex systems for a long time, it was not until the establishment of the Santa Fe Institute in 1984 that the study of complex systems became firmly established as an independent field of research. The Institute's scholars provided the intellectual frameworks for practitioners to explore complex collaboration in a practical way.

The fact is that we are becoming overwhelmed by challenges that reside in these kinds of complex systems, but many of us are approaching the challenges with disciplines and mind‐sets developed decades ago. Is it any wonder that our trust and confidence in institutions generally – business, government agencies, nonprofit organizations, higher education, and faith‐based organizations – has eroded?

Some years ago, Horst Rittel and Melvin Webber wrote a paper describing the concept of “wicked problems.” These are problems that are difficult or impossible to solve because our information is incomplete or contradictory. What's more, conditions are continuously changing. Because of the interdependencies within the complex systems that give rise to wicked problems, an effort to solve one problem can give rise to others. We can quickly create “unintended consequences.” There is no simple solution to a wicked problem. Proposed solutions are neither wholly right nor completely wrong, and every wicked problem is unique.

The point is simply this: in our families, organizations, and communities we are increasingly confronted with these complex, “wicked” problems. Yet we have not advanced our thinking or, until now, developed new protocols or approaches to addressing these complex problems. We know that no single organization or individual can solve a complex problem. Indeed, every solution we develop is temporary – when conditions inevitably change, we will have to adjust.

WHAT, EXACTLY, HAS CHANGED?

The challenges we describe earlier are critical, but if we don't understand the fundamental shifting dynamic in our world, we will miss the key to addressing them. There is something else at work that is easily overlooked, or at least is so much a part of our current reality that we have ceased to notice it.

It wasn't that long ago that nearly everyone in the world lived their lives in small groups of extended families – many on farms, others in what today we would call “small businesses.” There was a predictable rhythm to life, often structured around the seasons, and each family would – for the most part – make their own decisions about which activities needed to be done and when, to ensure the well‐being of the whole.

In the middle of the 1800s, that began to change, particularly in the West. New machines made it possible to produce things people needed or wanted – cloth, farm equipment, processed food – much faster than had ever been done before. Companies formed around these new technologies and began to draw people into cities for work to create these new goods. This “industrial revolution” opened new possibilities – young people could learn a set of skills, work their way up, and live a life very different from what would have been possible on the farm.

But as with most big transitions, there was a trade‐off. These new jobs didn't come with the same freedom to organize one's own days, weeks, and months. There was a supervisor to answer to. And soon, those supervisors were listening to a new kind of expert, a “management consultant” who talked about “efficiencies” and timed each part of a job, finding ways to shave off even hundredths of a second from each component of a task, in order to maximize profits.

Each worker had a supervisor, who was also overseen by a supervisor, and there was another supervisor after that. This structure – the hierarchy – came to characterize the world of work (and many other spheres as well). There were charts that explained exactly who could tell which people what to do, and you could get a pretty good idea of how things worked in the company by looking at one of these new “organization charts.”

Hierarchies weren't just for factories. The movie industry in the first half of the twentieth century is a good example of how a hierarchy functioned. When a studio decided to make a movie, it called on a full complement of people to make the film a reality. Directors, producers, set builders, food services – even the actors themselves and the managers of many of the theaters – all were employed by the studio and were told exactly what they could and could not do.

The hierarchy allowed the studios to control every aspect of the film‐making process.1 For example, the 1935 movie David Copperfield was made with about 70 people – nearly all of them employed by MGM, in a structure much like the one shown in Figure 1.1. The system was so productive, in fact, that the studios released about 700 films every year in the 1920s.

Organization chart of the hierarchy of film-making process of Twentieth Century Fox Film Corporation, 1940s.

Figure 1.1 Twentieth Century Fox Film Corporation, 1940s organization chart.

Source: Twentieth Century Fox, unpublished document, n.d.

You can see that the hierarchy had definite advantages. The key to productivity was controlling the lines of communication, and the “org chart” described those lines in great detail.

David Copperfield probably wouldn't draw many people to the theater these days. What happened?

In a word – television. Suddenly people didn't need to go to the theater to be entertained; the box in their living room could deliver stories to them every night. If movies were going to survive, they would need to be different to draw audiences in: new technologies, special effects, filming in exotic locations. And television wasn't the end of the change for the movie industry, although it's taken several decades to see the transition clearly. Now, it's not just the box in your house, it's the tablet you take on the plane and the tiny screen in your pocket (and undoubtedly there will be more vehicles for delivering good stories to us in the future). Network TV, cable, streaming services, and even individuals with just a video camera and a YouTube account – all can deliver a captivating tale to a community of interested viewers.

Movies are still with us, but the studios have had to change the way they do business in a very significant way to compete for our attention. Take a fairly recent example, The Hobbit. Like David Copperfield, the Hobbit franchise is also an MGM product, but as with most films today, when you watch one of the films that make up the franchise, you see the names of several companies in the opening credits: in this case, three other production companies. Each is playing a different role in getting J.R.R. Tolkien's story to the big screen. Ian McKellen and Martin Freeman, two of the stars, can work for whatever studio they would like and can dictate the terms of their work. Some companies working on the films don't show up in the opening montage, but you can spot more than 60 of them in the tiny credits at the end. The budget for The Hobbit was about $745 million, and that paid for thousands of people (more than 2,700 just on the first film) to work on the films over seven years – but very few of them were actually employed by MGM itself.

It would take a very large piece of paper indeed to draw the org chart for The Hobbit – and it wouldn't much resemble the older example's. Rather than hierarchies, the movie industry is now organized around networks. For each film, the studio assembles the partners, actors, and contractors it needs for that particular project. Some may have worked together before, others may be new. And when the film “wraps,” that particular constellation of people and organizations will never again work together. Does it work? Decide for yourself: in the case of the Hobbit films, the investment of $745 million brought in more than $3 billion in revenue – a pretty good return.

Just as hierarchies weren't limited to factories, networks aren't limited to the movie industry. They are all around us and have become the primary organizing structure behind most of the goods we buy, the services we use, and the places we work, live, and play. Very few things in our complex world can be accomplished by a single individual or company working in isolation.

What Is a Network?

Although the Hobbit example sketches out the general contours of a network in action, we want to be a bit more precise about what a network is. A network (see Figure 1.2 for a visual depiction) has several important characteristics:

Illustration of network structure comprising boundary spanner, hub, tight core and porous boundaries.

Figure 1.2 Network structure.

Source: Strategic Doing Institute.

  • It forms around a set of assets, or resources. These assets might take many forms: a physical location, a particular technology, even an intangible set of ideas that people hold in common. We often call this set of assets the hub of the network.
  • There is usually a set of people who are particularly closely related to the hub. They may be the people who formed the initial network. Communication is easiest within this core, particularly if they are geographically in the same location.
  • There are other people who are more loosely connected. They may not even be connected to the hub directly, but rather connected through someone else. It's challenging to get a message to all of these people, particularly those on the periphery.
  • The network is never static. There may be people who start off in the core but then become less connected, while there may be other people who become more deeply involved over time. The boundary dividing who is “in” and who is “out” of the network is a porous one.
  • There is no “top” or “bottom” to a network. There is no one individual or entity that can give directions for the members to carry out.

Often, a network exists in relation to other networks, because there are people who are part of both networks. We call these people “boundary spanners.” These other networks may have some interests in common in some circumstances, but there are probably other circumstances in which their interests aren't so well‐aligned. If the networks are to work together in some way, they will have to find a way to align their resources so that their efforts are not at cross‐purposes.

Kinds of Networks

There are several different kinds of networks, each with a particular function. Some are advocacy networks, made up of people who work to advance a particular cause or idea. Members don't necessarily know each other, but all are part of the network because of its mission. Learning networks, such as professional associations, form because a group of people wants to increase their knowledge or skills in a particular area. At least some of the members usually know one another reasonably well. These kinds of networks have value in accelerating an individual's learning, but what we are really after is an innovating network. These networks are composed of people who have joined forces to create new value together. They are a bit like the children's story Stone Soup, in which a clever cook starts by putting a stone in a large pot of water and invites her neighbors to add whatever they have. One brings a carrot, another tosses in a potato, a third has a leftover bone with a bit of meat still on it. By the story's end, of course, the pot is full of delicious soup for all to share. In an innovating network, each person brings their own resources to the network, and together they create something that is more than the sum of its parts.

An interesting example of an innovating network is the group of companies that came together to create what we think of as the product of a single company – the iPod. While Apple was certainly at the center of the network, dozens of other companies had a hand in its birth, including hardware parts manufacturers, music distributors, accessory designers, and more (a graphic of this network, from one of the earlier iPods, is shown in Figure 1.3). Apple founder Steve Jobs may have been a genius, but part of his particular legerdemain was in assembling the right collection of partners to bring the iPod to market.

Map of Apple iPod network where many companies are interconnected to Apple.

Figure 1.3 Apple iPod network map.

Source: Valdis Krebs, unpublished document, n.d.

The Habitat of Networks

Networks are found in nearly every conceivable setting. Some networks, as in the iPod or Hobbit examples, bring together separate companies for a particular joint venture. On a much larger scale, the European Union is a network of countries, or more accurately, their governments. Nonprofit organizations often join forces to work on a shared issue of concern or to apply for a grant together.

These examples illustrate networks that cross organizational boundaries. Not all networks do so – there are also networks within single organizations. Different units of a company may form an internal network because of a particular new product that requires each of the units' capabilities.

Sometimes what looks like a hierarchy is actually a network in disguise. There may be an organizational chart, but the reality on the ground is that people have a great deal of discretion in whether to go along with what the people at the top want to happen. Universities are one example of this phenomenon – the tradition of tenure means that many individual faculty members can (for the most part) decide if and how they will support the president's latest set of “strategic priorities.”

Hierarchies, Networks, and Strategy

These two distinct organizational structures – the hierarchy and the network – have very different implications for thinking about strategy. In a hierarchy, the challenge is to communicate information about what to do down, and to get information about the results up.

In a network, on the other hand, the challenge is to get the members' resources and efforts aligned toward a chosen objective. The capacity to execute a particular strategy across the network may be very large, but only if the network's assets can be efficiently marshaled.

This is a key difference – and necessitates thinking about “doing” strategy very differently. A network is itself a complex system, which is often operating within a larger complex system – be it an industry environment, a regional ecosystem, higher education, or the web of influences that are part of a specific social challenge.

However, our primary approach to strategy – strategic planning – hasn't yet adapted to this enormous transition. In fact, we believe it cannot (at least as we have traditionally thought of the approach2). Strategic planning has its roots in World War II, as military leaders learned how to apply systems thinking to complex problems, like the invasion of Normandy on D‐Day. The approach then found its way into corporations in the postwar period. In the 1960s, the rational, linear school of strategic planning took root in business schools. In other words, it was designed in and for an age in which the hierarchy was the dominant organizational paradigm.

As was the case with the movie industry, strategic planning works well when two conditions are met. First, the environment must be visible and stable. It doesn't change much. Second, there needs to be a command‐and‐control structure in place to facilitate communication. A small group of leaders can be sure that everyone else will follow their direction. In other words, a small group of people at the top of the organization is thinking, and the rest of the organization does the doing.

Most of the world does not work like that anymore, which is one of the main reasons why strategic planning is so often ineffective. Instead the world is increasingly dominated – both inside and outside our organizations – by open, loosely connected networks. That is, the networks are more or less voluntary, as people (or organizations) join together not because they are all part of a single hierarchy, but because they have a particular task to complete which can best be done by all of them working together. Both the Apple and Hobbit examples describe just such networks.

THE S‐CURVE

A powerful way to conceptualize an alternative to traditional strategy thinking is to consider the idea of a life cycle. We use a visual representation of a life cycle: the S‐Curve. S‐Curves help us understand what is happening at various points in the cycle – or, to put it more broadly, in any change process. You can see two of these curves in Figure 1.4.

“Graphical illustration of S-curves that help us understand what is happening at various points in the life cycle.”

Figure 1.4 S‐Curves.

Source: Strategic Doing Institute.

S‐Curves explain many different kinds of change – how new technologies enter the market and grow, how companies or organizations behave over the course of years or decades, and even many biological processes, such as human development. In all of these scenarios, events follow a similar progression (look at a single S‐Curve to follow the sequence). At the beginning, things happen slowly. Only a few people buy the new gadget, the business starts with one person in their home office, a baby enters the world as a helpless and dependent soul. Next, there is a period of rapid growth: the new device “goes viral,” the new business has to move into a dedicated facility and hire employees, the baby grows into a child and learns to walk, talk, and make its own decisions. Eventually, the growth slows and there is a period in which things seem to have reached a plateau: most people have a GPS in their car, the business has a solid core of customers coming back on a regular basis, the young adult has a career and has settled into a community with his or her own family and friends.

If we keep looking forward, we'll see the final part of the S‐Curve, in which there is a decline: the smartphone makes the separate GPS device obsolete, the small business can't keep up with online shopping, and the older adult needs to move into an assisted living facility.

There are three important insights S‐Curves provide:

  1. Change is constant and dynamic.
  2. Nothing lasts forever under its initial momentum.
  3. Success contains the seeds of its own destruction.

If you're introducing a technology or other innovation it's particularly important to understand the S‐Curve. Why? If your organization is approaching the plateau phase, you want to know that, so you can take action to avoid the decline phase, as the curve starts to go down. The best possible scenario would be that you would enjoy the growth in the middle part of the S‐Curve and then, before the market declines, you would begin selling whatever new technology is coming along. As Figure 1.4 shows, that new technology has its own S‐Curve. You want to hop from the current S‐Curve to an earl(ier) point on a new one. The same principle holds true in most fields and industries, although despite many efforts (consider cryogenics) we haven't yet figured out a way for aging adults to hop into new bodies … yet!

Our way of approaching strategy, then, needs to focus on this challenge: How do we take resources from our past and current successes (be they technologies, skills, people, and so on) and repurpose them so that we can successfully compete in new circumstances?

This is not an inconsequential challenge – moving from one S‐Curve to another inevitably means that at some point you are between curves – and that can feel quite risky and exposed, like the trapeze performer who has to let go of one bar before grasping the next one. This is true no matter what the setting. For businesses, it means investing precious capital in R&D toward the “next thing.” For many regions, it means letting go of the idea that recruiting a new large company, just like the one that closed, is the key to returning to the “good old days.” Educational institutions at every level have to confront the fact that our children and grandchildren will need a new set of skills to succeed and courses, credentials, and classrooms may need to change significantly.

However, to stay where you are means that inevitably – at some point – you will be on the downward slope of the curve. Far better, then, to figure out how to navigate this new world and learn the skills of strategy in networks.

THE CHANGES WE NEED TO MAKE

What does it mean to navigate shifting circumstances in this way? Before taking on challenges “out there” in the world, each of us needs to grapple with a more personal transformation. To effectively use the tools of strategy in a networked world, we need to change three things:

  1. We need to think differently.
  2. We need to behave differently.
  3. We need to “do” differently (this is different than behaving differently, as we'll see).

Thinking Differently

First, we need to change the way we think about strategy. Let's start with a not‐so‐simple question: What is strategy, anyhow?

The word strategy comes from the Greek word straegia, which literally means “generalship.” The first understanding of strategy, then, was military. What did a general do? In war, he was responsible for the decisions about the number and location of troops to be deployed in order to fight for maximum advantage. That decision then triggered a host of smaller decisions about transportation, timing, weapons or other supplies, and so forth.

Stepping back, we could frame the general's role as asking two questions: Where are we going? and How are we going to get there? With this definition, think about the strategic plans you've recently read or been a part of developing. Many don't answer one or both of these questions. Many reflect a great deal of thinking about competitive environment, vision, and so on without getting down to the activities that would be involved in reaching those goals. Others have a laundry list of things to do, timelines, and project charts without a coherent understanding of how these fit into a bigger picture based on the needs of the community, organization, or market. Without both of these pieces, we really can't say that a plan describes a strategy – although there may have been a lot of good thinking that went into developing the plan.

Since we just finished describing how the world has changed, you may be asking whether an ancient Greek definition even makes sense anymore. The answer is yes – Where are we going? and How will we get there? are just a broader restatement of the general's challenge. However, there is a caveat: while the Greek general no doubt made most strategic decisions on his own, in a complex environment characterized by networks, it's simply not possible for one individual to develop effective strategy. Strategy has to be a team effort, and the more complex the environment, the larger the group – the network – that will need to be engaged. But the essentials remain the same: the network will need to make key decisions about where they are going and how they intend to get there.

The size of a network does reflect its capacity to some extent. More critical, however, are the number of connections in the network. Consider the inventor of the first telephone, Alexander Graham Bell – if he had built only one phone, it would have been worthless. Two phones would have been an improvement, but obviously still far short of the invention's potential. With just five phones, 10 different connections were possible, and so on.3 However, your immediate network doesn't need to be huge – remember that every network is also linked to other networks through boundary spanners. Taking advantage of this capacity so that it's not just a hypothetical potential for impact requires some kind of protocol for working together.

The word we often use for working together is collaboration. In fact, if there were a contest for a term that suffers most from overuse, collaboration would be a leading candidate. This is true in corporate organizations as well as nonprofit and civic environments, in which funders often require some level of collaboration.

True collaboration is at one end of a continuum of joint efforts. When people come together, they usually start by just exchanging information about who they are and what they do – we often call this networking. A bit more involved is coordinating. We alter our activities to some extent; for example, civic groups may decide to schedule their fundraising events so that they don't fall on the same weekend. Still further along the continuum is cooperating. When we cooperate, we agree to share some resources with one another. Employees in a small business may decide to cooperate by arranging to cover for one another so that everyone can take an annual vacation, for example.

All of these activities are good – but they aren't collaboration (although we may claim otherwise in a presentation!). Collaboration involves linking, leveraging, and aligning resources in ways that enhance one another's capacity to create a shared outcome, a mutual benefit. It can sometimes be difficult to tell if two groups are truly collaborating. Beyond the kinds of work they are doing together, we can ask two additional questions. What is the level of trust that network members have of one another? and, conversely, are network members still holding onto their turf? In moving along the continuum toward collaboration, trust increases while turf decreases. We'll share many examples of true collaboration in the coming chapters.

For really complex challenges you'll need to pay attention to both of these drivers of performance: growing the network's size so that its capacity is larger and moving toward truly collaborative work. Neither of these happen overnight, but both will be crucial for addressing truly “wicked” problems.

Behaving Differently

The men that gathered in 1787 in Philadelphia had a big, complex problem on their hands. The American colonists had won the war for freedom from England, but in the years since, the new nation had sputtered, unable to find a way to effectively transition from 13 rebelling colonies to a functioning democracy. Fifty‐five delegates made their way to a “constitutional convention” to see if they could find a way to organize that would provide stability and prosperity.

Their work together took four months, and resulted in the US Constitution. The document wasn't perfect (as 27 amendments since then and a Civil War amply demonstrate), but it became the template for a completely new form of government.

And yet, their work began with a curious step: establishing rules of civility. The rules were much the same as you might wish to establish in meetings today: don't interrupt, pay attention to the speaker, and so on. The key point is that the delegates realized that the work they were embarking upon was exceedingly complex and fraught with tension. In order to navigate the discussions ahead, they recognized before they started that they needed to decide what the ground rules should be.

We noted earlier that in genuine collaboration, trust has to be high (and turf low). Since “trust” is another of those words that can mean different things to different people, here's what we mean by trust – not so much a definition as a test for its existence: trust is established when words and actions align. Rules of civility are one important component of establishing an environment where trust can flourish. They allow people to make commitments to one another and then to follow through. At the Constitutional Convention, for example, a person could speak and know that others would listen to their ideas, rather than carrying on a side conversation or otherwise being disruptive. We'll come back to this idea later with Skill 1.

In addition to having rules for everyone to follow, we also need to behave differently when it comes to specific kinds of people. In any change effort, there are three kinds of people, as shown in Figure 1.5 (you may recognize the shape as a “bell curve”). At one end, there are pioneers, the people leading the charge and eager to change. This is usually a small group, as depicted in the graphic. Then there is a much larger group, which we can call the pragmatists. Pragmatists will go along with change as soon as they see that it's prudent to do so – they want to see that their time and/or reputation won't be wasted. So far, so good. But, there's a third group – those that aren't interested in joining in. They say (and keep saying) things like, “That will never work,” “We've tried that before,” or “What we have is good enough.” We call this group the soreheads. Fortunately, their numbers are also few.

Graphical illustration of people in a network depicted as a bell curve comprising groups such as pioneers, pragmatists, and soreheads.

Figure 1.5 The people in a network.

Source: Strategic Doing Institute.

We are no experts in human history, but there probably has been no transformation in human civilization with no soreheads. However, too often we act as though if we just said the right thing, we could get the soreheads on our side. We let the tyranny of the few suck the energy out of our efforts. Instead, we should concentrate our efforts on getting the pragmatists to engage. As one university provost we know says about working with faculty: “I know there's one‐third that is ready to move, and if they come along, there's another third that will join in to join the first third. And I don't worry about the last third.” We don't mean that you should steamroll over the naysayers from the get‐go. There are often people who look like soreheads but turn out to be pragmatists – they're just a bit slower to join up. But after a reasonable amount of effort to make sure that you understand one another, just move on. We can't let the soreheads drag us all down.

As we move forward, we need to behave differently not just when we're discussing what we might do, but when we actually begin to make decisions. We need to balance two dimensions: guidance and participation. We see these two dimensions at work all around us. When there's no guidance but lots of people involved, you get chaos. Even a group of ten trying to decide where to go out to dinner together is usually a frustrating experience for everyone. When there's no guidance and low participation, that's apathy – the meet‐up that no one bothers to come to. There are also scenarios in which there's plenty of guidance but low participation – the classic backroom deal. In organizations, this is often cloaked in a veneer of participation (advisory committees, listening sessions, employee surveys, and the like), while at the same time everyone knows that there are a few people who will make decisions and frequently have already made up their mind.

There is another option – high participation with high guidance. Everyone's voice is heard, but the discussion is guided and has direction. This kind of decision‐making generally leads to success, because there has been plenty of input, but it's also efficient – people don't feel that their time has been wasted with meetings that don't go anywhere. The skills we introduce in this book allow you to create this kind of environment.

Doing Differently

Thinking differently and behaving differently “set the table” for the third thing that needs to happen in order for companies, organizations, or communities to successfully navigate challenges – doing differently. The ten skills in the remainder of this book break that “doing” down into specific components that are simple to understand and put into practice. They are not, however, a “one‐and‐done” formula. Change is constant – there is always another S‐Curve, sooner or later. The doing differently needs to become a permanent way of working – a set of habits, if you will. When Ed was first casting about for a new approach in the early 1990s, he found himself in Singapore at a lunch with the chief technology officer of one of his client companies. A fellow diner, a PhD physicist, suggested that there were two new developments that would completely change how we viewed the world, and that strategy would need to change as well. The two? The internet and software design.

Unlike other forms of mass communications—radio, television—the internet is interactive. That's a big deal. The internet is our first interactive mass medium. We are still trying to figure out what that means, but with the launch of the first commercial web browser, Netscape, in 1994, it was now possible for different types of interactive connections to happen: one‐to‐one (email); one‐to‐many (e.g., YouTube), many‐to‐one (Kickstarter), and many‐to‐many (eBay). While entrepreneurs are continuing to create new business models to take advantage of this power, one fact is clear: the internet has disrupted the classical top‐down hierarchy and the traditional strategic planning methodologies that supported it. The changes wrought by the internet and their application to strategy are fairly evident: every organization now operates in a global environment, and freely available information makes changes in the environment (whether competitive, social, political, etc.) visible in nearly real time.

As for software design, the model of agile software development provides a framework for thinking about strategy in this new world. New software is always produced in a team environment. The members of the team are each working on just a bit of the program at a time, and these fragments are tested immediately, and adjustments made if needed. The team meets together frequently so that they can stay on track and aligned with one another and ensure that there aren't any compatibility issues. The software is released in stages: first a 0.9 or “beta” to help shake out the bugs, and then a version 1.0, to be followed by 1.1, then 1.2, and so on. At some point, the company decides a whole new set of features is needed – version 2.0, perhaps. From the user perspective, our experience has also changed, very much for the better. At the beginning of the “personal computer” age, you bought a program in a box with a version number, and then you waited several years for the new release, which also came in a box. Once most people had internet access, companies began issuing “patches” that could be downloaded periodically to fix major issues. Today, these improvements are available much more frequently and are often automatically installed – if we're even using software that is “ours” rather than hosted in the cloud.

Additionally, much software is developed in an open source environment, an entirely new approach to conduct complex work. Linus Torvalds popularized this approach when he decided to design a new operating system for computers. The story is remarkable: Torvalds, a 21‐year‐old computer science student in Finland, released the “beginnings” of a new computer operating system in 1991. We say beginnings because it was and is an open source operating system, with code contributed by thousands of programmers around the world. Called Linux, it now has 23.3 million lines of source code.

Both of these aspects of software development – constant experimentation, with lessons shared among a collaborative network – characterize effective strategy today. Strategy is developed and refined by implementing modest ideas and evaluating the impact, adjusting and scaling up as you go. What is critical is that the team has a process to manage this kind of ongoing effort – ways of working together that have become firmly established with practice and discipline.

*   *   *

We've now set the stage for the ten skills by introducing some of the key concepts that explain why strategy needs to be approached differently and a few of the assumptions you'll glimpse in the pages ahead. As you encounter the skills, you may think to yourself that they seem quite simplistic – and possibly, not worth the price of this book. A few observations, then: first, we may be tempted to think that in a complex world we need a complicated strategy process. Nothing could be further from the truth – when faced with complexity, the right approach is one in which there are a limited number of principles, but ones that are robust enough to allow for many possibilities and strategic shifts where necessary. Second, while the skills are simple, that's not the same thing as simplistic. They are simple, but not easy; they require practice and attention to master. Third, the real power of the skills is in combining them – perhaps not all ten at any one time, but identifying the skills most called for in a particular situation. The whole is truly more than the sum of its parts.

But enough with the preliminaries – it's time to lift the curtain.

NOTES

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