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The use and abuse of scenarios

DBR | 1호 (2008년 1월)
Although it is surprisingly hard to create good ones, they help you ask the right questions and prepare for the unexpected. That is hugely valuable.
NOVEMBER 2009 • Charles Roxburgh 
 
Scenarios are a powerful tool
in the strategist’s armory. They are particularly useful in developing strategies to navigate the kinds of extreme events we have recently seen in the world economy. Scenarios enable the strategist to steer a course between the false certainty of a single forecast and the confused paralysis that often strike in troubled times. When well executed, scenarios boast a range of advantages—but they can also set traps for the unwary.
 
There is a significant amount of literature on scenarios: their origins in war games, their pioneering use by Shell, how to construct them, how to move from scenarios to decisions, and so on. Rather than attempt anything encyclopedic, which would require a book rather than a short article, I have put forward my personal convictions, based on experience in building scenarios over the past 25 years, about both the power and the dangers of scenarios, and how to sidestep those dangers. I close with some rules of thumb that help me—and will, I hope, help you—get the best out of scenarios.
 
The power of scenarios
Scenarios have three features that make them a particularly powerful tool for understanding uncertainty and developing strategy accordingly.
 
Scenarios expand your thinking
You will think more broadly if you develop a range of possible outcomes, each backed by the sequence of events that would lead to them. The exercise is particularly valuable because of a human quirk that leads us to expect that the future will resemble the past and that change will occur only gradually. By demonstrating how—and why—things could quite quickly become much better or worse, we increase our readiness for the range of possibilities the future may hold. You are obliged to ask yourself why the past might not be a helpful guide, and you may find some surprisingly compelling answers.
 
This quirk, along with other factors, was most powerfully illustrated in the recent meltdown. Many financial modelers had used data going back only a few years and were therefore entirely unprepared for what we have since seen. If they had asked themselves why the recent past might not serve as a good guide to the future, they would have remembered the Asian collapse of the late 1990s, the real-estate slump of the early 1990s, the crash of October 1987, and so on. The very process of developing scenarios generates deeper insight into the underlying drivers of change. Scenarios force companies to ask, “What would have to be true for the following outcome to emerge?” As a result, they find themselves testing a wide range of hypotheses involving changes in all sorts of underlying drivers. They learn which drivers matter and which do not—and what will actually affect those that matter enough to change the scenario.
 
Scenarios uncover inevitable or near-inevitable futures
A sufficiently broad scenario-building effort yields another valuable result. As the analysis underlying each scenario proceeds, you often identify some particularly powerful drivers of change. These drivers result in outcomes that are the inevitable consequence of events that have already happened, or of trends that are already well developed. Shell, the pioneer in scenario planning, described these as “predetermined outcomes” and captured the essence of this idea with the saying, “It has rained in the mountains, so it will flood in the plains.” In developing scenarios, companies should search for predetermined outcomes—particularly unexpected ones, which are often the most powerful source of new insight uncovered in the scenario-development process.
 
Broadly speaking, there are four kinds of predetermined outcomes: demographic trends, economic action and reaction, the reversal of unsustainable trends, and scheduled events (which may be beyond the typical planning horizon).
 
·         Demography is destiny. Changes in population size and structure are among the few highly predictable aspects of the future. Some uncertainties exist (potential increases in longevity, for example), but only at the margin. Sometimes, the effects of these trends are far off—as with Social Security in the United States today—so they are generally ignored. When these trends grow near, however, their effects can be powerful indeed, as when the baby boom generation is on the brink of leaving the workforce.
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·         “You canna change the laws of economics!” Just as Scotty the engineer could not change the laws of physics when Captain Kirk1 demanded more warp speed, so business leaders cannot assume away the laws of economics. If demand shoots up, prices will too—which will limit demand and drive increasing supply—with the result that demand, prices, or both will drop. Nothing increases in price forever, in real terms. We recently saw oil prices more than double and then sink back again by an equal amount. Price changes of this scale inevitably drive supply and demand reactions in every relevant value chain. As in physics, every economic action has a predetermined reaction. These reactions are often ignored in business strategy. If uncovered through scenario planning, however, they can generate powerful insights.
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·         “Trees don’t grow to the sky.” Business plans often extrapolate into the future trends that are clearly unsustainable. Economies are fundamentally cyclical, so beware of politicians bearing tales about the end of boom and bust. Equally, do not build a strategy based on the claim that the business cycle has been tamed. Often, optimistic projections are accompanied by bold claims of a new paradigm. Strategists need to be very cautious about alleged new paradigms. The appearance of even a genuine new paradigm almost always results in a speculative bubble. The “new economy” was a good example. More recently, securitization proved to be another sound idea that resulted in a speculative bubble. And in the past, many new, innovative technologies—railroads and radio, for example—were hailed as “new paradigms” and then promptly led to investment bubbles. A useful test is to project a trend at least 25 years out. Then ask how long can this trend really be sustained. Challenge yourself to try and prove why the shape of the future should be so fundamentally different from the more cyclical past. Chances are you won’t be able to, and this will open your eyes to the possibility of a break in the trend.
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·         Scheduled events may fall beyond typical planning horizons. There is also a simpler kind of predetermined outcome that does not involve any unalterable laws: scenarios must take into account scheduled events just beyond corporate planning horizons. A recent example, the results of which we have already seen, is reset dates on adjustable-rate mortgages. Well before the event, one could have predicted a spike in resets as mortgages sold in 2005 and 2006—the peak years—completed their low, three-year introductory rates. Something bad was going to happen to the economy in 2008. Right now, there is another important “timetable” to watch: the wave of large bond issues that has resulted from banks having to refinance hundreds of billions of dollars of maturing debt. Although these types of scheduled events ought to be common knowledge, they tend to be overlooked in planning exercises because they fall beyond the next 12 to 18 months. Scenarios should account for scheduled events that could have a big impact in the 24–60 month time frame.
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