Team Coaching: allenarsi a lavorare in squadra

Novembre 20, 2009

Check this post Team Coaching: allenarsi a lavorare in squadra from 7thFLOOR» Business Online e Comunicazione Digitale, Web Marketing e New Media, Formazione Coaching per le Imprese e la Cultura:

Lavorare in team non è affatto facile: la diversità è un elemento di ricchezza che però, se non è gestita correttamente, può creare diffidenza ed ostilità. Le persone sono più impegnate a mantenere i loro schemi di riferimento abituali, a difendersi piuttosto che a sviluppare la creatività per la risoluzione dei problemi comuni. Un ottimo strumento è il Team Coaching …


Risk Management: A Holistic Organizational Approach

Novembre 18, 2009


It’s Working! | advanced competitive strategies

Novembre 17, 2009

It’s Working! | advanced competitive strategies.

 

It’s Working! How evidence proves all’s well before a fall, by Mark Chussil

What does your strategy-development process have in common with the financial crisis gripping us all?

That depends on how you think about what’s working and what isn’t.

Much has been said and written about what’s gone wrong with the economy: indecipherable financial instruments, assumptions that home prices would continue to rise, lack of regulation, and on and on. But those aren’t just causes; they’re effects, too. Complex securities, bad assumptions, and deregulation didn’t materialize out of nowhere, they’re the effects of decisions people made. So why did smart, self-interested, experienced people decide to buy and sell such complicated instruments, risk so much on such unsupportable assumptions, and let the inmates run the asylum?

It’s tempting to say that they’re greedy, short-sighted, narrow-minded, and selfish. Thinking that makes it easy to blame them, to emphasize how different they are from us, and to justify why we should punish them.

Well, maybe they are greedy, short-sighted, narrow-minded, and selfish. Some of them, anyway. But it’s hard to believe that all of them are. It’s even harder to believe that greed, short-sightedness, narrow-mindedness, and selfishness alone could cause the problems we’re experiencing.

We could blame denial and wishful thinking (theirs, of course). But that too isn’t particularly satisfying: it merely labels the problem, it doesn’t explain or solve the problem. After all, no one gets up in the morning and decides to make multi-billion-dollar decisions on the basis of denial, so advising “don’t go into denial” is about as helpful as “have a nice day.”

Let’s rephrase our question. What would lead so many smart, self-interested, experienced people to go down the same path? Greedy denial doesn’t make people behave the same way. What makes people behave the same way is shared beliefs.

In the case of the financial crisis (and perhaps your company’s strategy-development process; we haven’t forgotten that part), the shared belief was that the party wasn’t over. When you believe the party is over, you go home; the people who stay are those who think there’s still fun to be had.

Why did they think there was still fun to be had? After all, smart, self-interested, experienced people, whether or not they’re greedy deniers, know that house prices won’t rise ad infinitum, especially knowing that the engine of that growth is people who buy more house(s) than they can afford. However, they could easily fall into the keep-partying trap for a simple reason: the “evidence” showed that their strategies were working. For years their numbers got better and better. Success! And their intelligence, cleverness, and resourcefulness (plus an “insane drive” for ever-better results) kept the party going. Continued success! You can say that it’s a lousy strategy, party-pooper, but look at my numbers. It’s rational to keep going. It’s working!

And that’s where we can see the parallel with strategy development. We judge the success of a strategy by its outcomes — it’s working! — and we decide to stay at the party because the party has been pretty good to us so far. We extrapolate the past into the future, and we don’t see where our own efforts may be prolonging the buzz.

Consider Blockbuster. It grew rapidly: its first store opened in 1985, and it was sold to Viacom in 1994 for $8.4 billion ($11.6 billion in 2007 dollars). It was “split off” in 2004 after multi-billion-dollar losses, when it had a market value of $2.7 billion ($3.0 billion in 2007 dollars). Its current market value is slightly over $300 million. We note with respect that Blockbuster’s owners, Wayne Huizenga and John Melk, left the party when all was still merry.

(Tangent: Business schools teach that you should sell something when you cannot make it more valuable than it currently is and when it’s worth at least that much to someone else. Often, though, we fall into various emotional and analytical traps, such as “it’s working!,” and finally sell at fire-sale prices at the sorry end of the party. Sound sadly familiar?)

Of course a misguided “it’s working!” isn’t the only cause of bad strategies or the financial crisis. What’s especially interesting about it, though, is that it is closer to the root of the problem than singling out the individuals who fall for its seductive lure. What’s interesting too is that we can do something about it.

My colleagues and I have learned over many years that strategists make better decisions when they look as assiduously for reasons why a strategy isn’t going to work as they look for reasons why it will. I find that business war games are tremendously effective at that process (as I describe in “Learning Faster Than the Competition“), but they’re not the only way. Whether you use business war games or something else, the trick is to stress-test your strategy options, especially because so many conventional tools and discussions focus on why your strategy is going to succeed. For instance, spreadsheets of your business’ future rarely take into account the moves your competitors are about to make.

Who is more likely to fall into the stay-at-the-party trap? Greedy or non-greedy people? Numerate people or innumerate people? Experienced people or novices? I suggest that those at the greatest risk are those who, due to how they interpret experience and numbers, are more likely to be fooled by “it’s working!”

  • If you believe that action A leads to result B, then you are more likely to be fooled than a person who believes that result B comes from a whole cloud of activity, some done by you, some done by others.
  • If you look at past performance (profits, market share, economic growth, foreclosure rates, product recalls, whatever) and conclude that a desirable trend means that your actions are working, then you are more likely to be fooled than someone who asks questions such as what would have happened if we did something else and do we have fewer product recalls because products are better or because we have cut funding on safety checks.
  • If you work in an organization that aggressively values success (however defined), for instance by “weeding out underperformers,” then you are more likely to be fooled than someone who works in an organization that values what-if scenario thinking. I don’t mean we should keep underperformers. I mean we should define and measure underperformance carefully.
  • If you look at lagging indicators and effects (sales, profits, etc.), then you are more likely to be fooled than a person who looks at leading indicators and causes (drivers of demand, where you are investing, where your competitors are investing, etc.).

In short, if you focus on nominal outcomes, then you are more likely to be fooled than someone who focuses on quality decisions. And when you are fooled, you are likely to stay too long at the party that is “working” so well.

Update: Newsweek columnist Robert J. Samuelson makes a similar argument in his Good Times Breed Bad Times column from the October 27, 2008, issue of the magazine.

Update: See an interesting article about confirmation bias, How to Ignore the Yes-Man in Your Head, by Jason Zweig in The Wall Street Journal, November 14, 2009.


Peter L. Bernstein on risk

Novembre 17, 2009

The celebrated author of Against the Gods: The Remarkable Story of Risk explores the history of risk and how it works in real-world markets and in our lives.
JANUARY 2008

Risk doesn’t mean danger—it just means not knowing what the future holds. That insight resides at the core of risk management for companies, whether in managing the potential downside of an investment or putting a value on the option of waiting when making irreversible decisions. In this video Peter L. Bernstein also explains why in the real world the most sophisticated mathematical models can sometimes fail.


The use and abuse of scenarios – courtesy Charles Roxburgh McKinsey’s London office

Novembre 17, 2009

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

Source: Strategy Practice

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.
“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.
“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.
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.
While some errors can be avoided by recalling certain fundamental economic and demographic facts or scheduled events, problems of timing will continue to exist. Your company’s strategic planners may know that a massive dollar value of mortgages is about to reset. But when will the market actually wake up to this reality? Financial services cannot grow as a percentage of GDP forever. But at what percentage will this stop? We didn’t know before, and we still don’t know today. Still, the realization that something must happen, even if it is not clear when, leads to the inclusion of at least one scenario in which, say, financial services stop growing sooner rather than later.

Scenarios protect against ‘groupthink’
Often, the power structure within companies inhibits the free flow of debate. People in meetings typically agree with whatever the most senior person in the room says. In particularly hierarchical companies, employees will wait for the most senior executive to state an opinion before venturing their own—which then magically mirrors that of the senior person. Scenarios allow companies to break out of this trap by providing a political “safe haven” for contrarian thinking.

Scenarios allow people to challenge conventional wisdom
In large corporations, there is typically a very strong status quo bias. After all, large sums of money, and many senior executives’ careers, have been invested in the core assumptions underpinning the current strategy—which means that challenging these assumptions can be difficult. Scenarios provide a less threatening way to lay out alternative futures in which the these assumptions underpinning today’s strategy may no longer be true.

Avoiding the common traps in using scenarios
For all these benefits, there is a downside to scenarios. Inexperienced people and companies are prone to fall into a number of traps.

Don’t become paralyzed
Creating a range of scenarios that is appropriately broad, especially in today’s uncertain climate, can paralyze a company’s leadership. The tendency to think we know what is going to happen is in some ways a survival strategy: at least it makes us confident in our choices (however misplaced that confidence may be). In the face of a wide range of possible outcomes, there is a risk of acting like the proverbial deer in the headlights: the organization becomes confused and lacking in direction, and it changes nothing in its behavior as an uncertain future bears down upon it.

The answer is to pick the scenario whose outcome seems most likely and to base a plan upon that scenario. It should be buttressed with clear contingencies if another scenario—or one that hasn’t been imagined—begins to emerge instead. Ascertain the “no regrets” moves that are sound under all scenarios or as many as possible. Ultimately, the existence of multiple possibilities should not distract a company from having a clear plan.

Don’t let scenarios muddy communications
The former CEO of a global industrial company once suggested that scenarios are an abdication of leadership. His point was that a leader has to set a vision for the future and persuade people to follow it. Great leaders do not paint four alternative views of the future and then say, “Follow me, although I admit I’m not sure where we are going.”

Leaders can use scenarios without abdicating their leadership responsibilities but should not communicate with the organization via scenarios. You cannot stand up in front of an organization and say, “Things will be good, bad, or terrible, but I am not sure which.” Winston Churchill’s remarks about British aims in World War II—“Victory at all costs, victory in spite of all terror, victory however long and hard the road may be”—are instructive. By insisting on only one final outcome, Churchill was not refusing to acknowledge that a wide range of conditions might exist. What he did was to set forth a goal that he regarded as what we would call “robust under different scenarios.” He was acknowledging the range of uncertainties (“however long and hard the road may be”), and he resisted overoptimism (which affected many bank CEOs early in the recent crisis).

A chief executive, a prime minister, or a president must provide clear and inspiring leadership. That doesn’t mean these leaders should not study and prepare for a number of possibilities. Understanding the range of likely events will embolden corporate leaders to feel prepared against most eventualities and allow those leaders to communicate a single, bold goal convincingly.

One additional point about communication and scenarios is worth noting. Scenarios can help leaders avoid looking stupid. A wide range of scenarios—even if not publicly discussed—can help prevent leaders from making statements that can be proven wrong if one of the more extreme scenarios unfolds. For instance, one financial regulator boldly announced, early in the financial crisis, that its banking system was, at the time, capitalized to a level that made it bulletproof under all reasonable scenarios—only to announce, a few months later, that a further recapitalization was required. Similarly, the head of a large bank confidently suggested that the downturn was in its final phases shortly before the major indexes plummeted by 25 percent and we entered a new and even more dangerous phase of the crisis. Many CEOs have given hostages to fortune; scenarios would have helped them avoid doing so.

Don’t rely on an excessively narrow set of outcomes
The astute reader will have noticed that the above-mentioned financial regulator managed to embarrass itself even though it was using scenarios. One of the more dangerous traps of using them is that they can induce a sense of complacency, of having all your bets covered. In this regard at least, they are not so different from the value-at-risk models that left bankers feeling that all was well with their businesses—and for the same reason. Those models typically gave bankers probabilistic projections of what would happen 99 percent of the time. This induced a false sense of security about the potentially catastrophic effects of an event with a 1 percent probability. Creating scenarios that do not cover the full range of possibilities can leave you exposed exactly when scenarios provide most comfort.

One investment bank in 2001, for instance, modeled a 5 percent revenue decline as its worst case, which proved far too optimistic given the downturn that followed. Even when constructing scenarios, it is easy to be trapped by the past. We are typically too optimistic going into a downturn and too pessimistic on the way out. No one is immune to this trap, including professional builders of scenarios and the companies that use them. When the economy is heading into a downturn, pessimistic scenarios should always be pushed beyond what feels comfortable. When the economy has entered the downturn, there is a need for scenarios that may seem unreasonably optimistic.

The breadth of a scenario set can be tested by identifying extreme events—low-probability, high-impact outcomes—from the past 30 or 40 years and seeing whether the scenario set contains anything comparable. Obviously, such an event would never be a core scenario. But businesses ought to know what they would do, say, if some more virulent strain of avian flu were to emerge or if an unexpected geopolitical conflict exploded. Remember too that it would not take a pandemic or a terrorist attack to threaten the survival of many businesses. Sudden spikes in raw-material costs, unexpected price drops, major technological breakthroughs—any of these might take down many large businesses. Companies can’t build all possible events into their scenarios and should not spend too much time on the low-probability ones. But they must be sure of surviving high-severity outcomes, so such possibilities must be identified and kept on a watch list.

Don’t chop the tails off the distribution
In our experience, when people who are running businesses are presented with a range of scenarios, they tend to choose one or two immediately to the right and left of reality as they experience it at the time. They regard the extreme scenarios as a waste because “they won’t happen” or, if they do happen, “all bets are off.” By ignoring the outer scenarios and spending their energy on moderate improvements or deteriorations from the present, leaders leave themselves exposed to dramatic changes—particularly on the downside.

So strategists must include “stretch” scenarios while acknowledging their low probability. Remember, risk and probability are not the same thing. Because the risk of an event is equal to its probability times its magnitude, a low-probability event can still be disastrous if its effects are large enough.

Don’t discard scenarios too quickly
Sometimes the most interesting and insightful scenarios are the ones that initially seem the most unlikely. This raises the question of how long companies should hold on to a scenario. Scenarios ought to be treated dynamically. Depending on the level of detail they aspire to, some might have a shelf life numbered only in months. Others may be kept and reused over a period of years. To retain some relevance, a scenario must be a living thing. Companies don’t get a scenario “right”—they keep it useful. Scenarios get better if revised over time. It is useful to add one scenario for each that is discarded; a suite of roughly the same number of scenarios should be maintained at all times.

Remember when to avoid scenarios altogether
Finally, bear in mind the one instance in which strategists will not want to use scenarios: when uncertainty is so great that they cannot be built reliably at any level of detail.2 Just as scenarios help to avoid groupthink, they can also generate a groupthink of their own. If everyone in an organization thinks the world can be categorized into four boxes on a quadrant, it may convince itself that only four outcomes or kinds of outcomes can happen. That’s very dangerous. Strategists should not think that they have all reasonable scenarios when there are quite different possibilities out there.

Don’t use a single variable
The future is multivariate, and there are elements strategists will miss. They should therefore avoid scenarios that fall on a single spectrum (“very good,” “good,” “not so good,” “very bad”). At least two variables should be used to construct scenarios—and the variables must not be dependent, or in reality there will be just one spectrum.

Some rules of thumb
Obviously, some general principles can be assembled from the points above: look for events that are certain or nearly certain to happen; make sure scenarios cover a broad range of outcomes; don’t ignore extremes; don’t discard scenarios too quickly just because short-term reality appears to refute them and never be embarrassed by a seemingly too pessimistic or optimistic scenario; understand when not enough is known to sketch out a scenario; and so on. But there are some additional rules of thumb that I have found particularly useful.

Always develop at least four scenarios
A scenario set should always contain at least four alternatives. Show three and people always pick the middle one. Four forces them to discover which way they truly lean—an important input into the discussion. Two is always too few unless there is only one big swing factor affecting the situation.

Technically, of course, many scenarios can be sketched out in almost any situation. All possible combinations of just three uncertainties will create 27 scenarios. But many of them will be impossible because the variables are rarely completely independent. Usually, the possibilities can be boiled down to four or five major possible futures.

“Crunch” the quadrants
Often people use a two-by-two matrix when presenting scenarios. But it is not routinely the case that there are just two major variables. In developing scenarios, it would be typical to identify three to five critical uncertainties. How to resolve this tension? One approach is to create multiple two-by-twos using all possible combinations of the four or five critical uncertainties. It will quickly become clear that some uncertainties are highly correlated and so can be combined—and that others are not principal drivers of the various scenarios. At minimum, this will allow for simplification. Sometimes, however, it is possible to uncover a real insight when trying to describe a quadrant created by an unusual combination of uncertainties.3

There should always be a base or central case
This point goes back to the chief executive, mentioned above, who claimed that scenarios were an abdication of responsibility. It is fine to put forward scenarios—it is, in fact, the responsible thing to do. But those who must weigh scenarios and reach decisions based on them expect and deserve to get a specific point of view about the future. The scenario that is highest in probability should always be identified, and that ought to become the base case. If that proves impossible, it should at least be feasible to fashion a “central” case—but there must be crystal clarity about the degree of certainty attached to it, the alternatives, and the resilience of any strategy to those alternatives.

Scenarios must have catchy names
The notion of attaching clever names to scenarios may well sound trivial. It is not. Unless scenarios become a living part of an organization, they are useless. And if they do not have snappy, memorable names, they will not enter the organization’s lexicon. Use two to four words—no more. Plays on film titles and historical events are recommended. Some names that I have used, and that appear to have stuck, are “Groundhog Day,” “the long chill,” “perfect summer,” “end of an era,” “silver age,” and “Mexican spring.”

Avoid long, descriptive titles. No one will remember “Restrengthening world economy at a lower level of overall growth.” And avoid boring “bull, bear, and base” scenarios, even though these are used by many stock analysts. If no snappy title seems to present itself (assuming that someone creative is available), the scenario is probably too diffuse and may contain elements of two different scenarios jammed together.

Learn from being totally wrong
Developing scenarios is an art rather than a science. People learn by experience. It is useful to look back at old scenarios and ask what, in retrospect, they missed. What could have been known at the time that would have made for better scenarios? Events will prove that some scenarios were too narrow or that one was thrown out too soon. The more comfortable an organization and its people are with mistakes and learning from them, the less likely it is to be mistaken again.

Listen to contrary voices
This is a good corrective to groupthink. We tend to dismiss the mavericks. Scenarios are there to make room for them. Maverick scenarios have the virtue of being surprising, which makes people think. If a company’s scenarios are all completely predictable (conventionally good, conventionally bad, and somewhere in the middle), they are not going to be valuable. The best scenarios are built on a new insight—either something predetermined that others have missed or an unobvious but critical uncertainty.

On one occasion, when oil was at $120 a barrel, we presented a scenario with oil at $70. Someone asked what would happen if oil dropped to $10 a barrel. We said that was unnecessarily radical. But we probably should not have been so dismissive, as oil promptly fell below $50 a barrel. We should have been more open to the possibility of this radical price swing—after all, oil has been at $10 a barrel well within living memory. Scenarios should not assume a short-term time series; they should go back as far as possible. If a data series going back 300 years is available, you should consider using it (they do exist for UK interest rates and UK government debt as a percentage of GDP and these long-term data series have certainly informed current debates about the possible interest rates and sustainable debt to GDP ratios). Most variables can only be supported by data going back tens of years—but even this is much more instructive than the meager data often used and helps broaden the range of possible outcomes.

Even modest environmental changes can have enormous impact
The best example of this principle is that specialist business models fail when the business environment changes. I call this the “saber-toothed tiger” problem. The saber-toothed tiger was a specialist killing machine, its big teeth perfectly evolved to capture large mammals. When the environment changed and the large mammals became extinct, saber-toothed tigers became extinct too—those large teeth were not as good for catching small, furry mammals. By contrast, the shark is a generalist killing machine—and so has remained highly successful for hundreds of millions of years.

A specialist business model can suffer the fate of the saber-toothed tiger if the environment changes. Many winning business models are highly specialized and precisely adapted to the current business environment. Therefore no one should ever assume that today’s winners will be in an advantaged position in all possible futures (or even most of them). Therefore, scenarios should be based on creative thinking about how predicted changes in the business environment will alter the competitive landscape. If the environment changes in a scenario but the competitors remain the same, that scenario may not be imaginative enough.

None of the above is rocket science. Why, then, don’t people routinely create robust sets of scenarios, create contingency plans for each of them, watch to see which scenario is emerging, and live by it? Scenarios are in fact harder than they look—harder to conceptualize, harder to build, and uncomfortably rich in shortcomings. A good one takes time to build, and so a whole set takes a correspondingly larger investment of time and energy.

Scenarios will not provide all of the answers, but they help executives ask better questions and prepare for the unexpected. And that makes them a very valuable tool indeed.

About the Author
Charles Roxburgh is a director in McKinsey’s London office.

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Notes
1 For the uninitiated, Scotty and Captain Kirk are two characters from Star Trek, a famous US science fiction television series from the 1960s.

2 For more, see the McKinsey Quarterly’s interview with author Hugh Courtney, “A fresh look at strategy under uncertainty.”

3 I am grateful to Pherson Associates, specifically Randy Pherson and Grace Scarborough, for bringing this technique to my attention. I have found it extremely powerful in a number of client settings.

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Key Intelligence Topics

Novembre 16, 2009

Check this post Key Intelligence Topics from Everyone’s Blog Posts – Competitive Intelligence:

Cited by: http://www.corporaterisks.info/

I. Assessment of Strategies

A. Focused Differentiation
B. Best Cost
C. Differentiation
D. Low Cost
E. Focused Low Cost
F. Market Skimming
G. Market Penetration
H. Related Diversification
I. Unrelated Diversification
J. Backward Integration
K. Forward Integration
L. Horizontal Integration

II. Consumer Perceptions

A. Negative Moment of Truth
B. Positive Moment of Truth
C. Usage
D. Attitude
E. Image
F. Market Segmentation
G. Customer Satisfaction
H. Brand Recall
I. Purchase Decision
J. Brand Association
K. Value Creation
L. Lifestyle
M. Personality
N. Product Attributes
O. Country of Origin

III. Current Operations

A. Value Chain Analysis
B. Benchmarking Analysis
C. Five Force Analysis
D. Brick & Click Strategy

IV. Competitor Capabilities

A. OODA Loop
B. Offensive Maneuvers
C. Defensive Maneuvers
D. Flanking Maneuvers
E. Guerilla Maneuvers

V. Evaluation of Market Life Cycle

A. Market Crystallisation
B. Market Expansion
C. Market Fragmentation
D. Market Consolidation
E. Market Dissolution

VI. Service Triangle Interplay

A. Service Strategy
B. Systems & Procedures
C. People of the Organisation
D. Service Strategy – Customer – People of the Organisation
E. Systems & Procedures – Customer – People of the Organisation
F. Systems & Procedures – Customer – Service Strategy
G. Service Strategy – Systems & Procedures – People of the Organisation

Vivek Raghuvanshi
Assistant Professor
http://amity.edu/aici/


Double Response Rates for Your Win Loss Analysis Program

Novembre 16, 2009

Check this post Double Response Rates for Your Win Loss Analysis Program from Primary Intelligence» Sales and Competitive Intelligence Blog:

Imagine that you’ve just learned that a prospect has elected to go with the competitions solution instead of yours. Your sales team did everything they could to understand the prospects needs and build the relationship. Your product managers and marketing executives provided excellent support as well as thorough well-thought out responses to all the prospects product-related questions. The demonstration of your solution went exceptionally well. Management was actively following the opportunity, and everyone thought you were going to win. The deal was an important one because of who the prospect was, or the absolute size of the deal, or the industry the prospect was in, or a combination of these things.

Now everyone wants to know why you lost.

Your prospect just selected the competition, and youve been tasked with calling the decision makers to find out exactly what happened and learn everything you can about why they chose the competition.

You spend the next three weeks leaving messages, but they dont call you back, or you catch them live on the phone, but they don’t have time to answer your questions. Now what?

One of the constant challenges that we face in the execution of win loss analysis is maximizing response rates or participation rates. That challenge is even greater in this type of market research because sample is limited and you only have a finite number of competitive wins and losses you can study. If we aren’t able to get them to participate, it is a missed learning opportunity that we cant necessarily duplicate.

The example above is probably one youre familiar with if you are involved with your companys win loss program. The question becomes, How can we increase our response rates?

Introduction NoteAt Primary Intelligence, we spend a lot of time and resources addressing this very question. There are quite a few things we do to increase participation rates for our customers, but one of the most important practices we have identified is to create and utilize what we call introduction notes. These are notes that introduce why you want to talk to the decision maker and what you are hoping to accomplish. While the content of this note is very important to improving response rates, who this note ultimately comes from can be even more important than the words you use . There are three potential options when it comes to deciding who the introduction note will come from:

  1. From a key executive (higher the better, with CEO being best)
  2. From the sales representative responsible for the deal
  3. From you

To successfully implement this practice, you will need to choose which of these three options will work best for your situation and then create two introduction note templatesone for your wins and one for your losses. If you analyze your no decision deals, you will want a different introduction note for that as well.

The introduction note really helps remove the surprise attack feeling that decision makers can get when you are cold calling them to do a debrief of their purchase decision. Cold calling a decision maker is a lot like the solicitor that knocks on your dooryou open the door expecting someone you know and instead get a complete stranger that wants to wash your windows or aerate your lawn. Surprising a decision maker is a sure way to kill response rates for your win loss analysis program.

There are five key elements to include in the introduction note that you will send on behalf of an executive, the sales representative, or yourself:

  1. Introduce the executive, the sales rep or yourself at the beginning of the note
  2. Introduce the purpose of the e-mailto understand how you can improve
  3. Ask them to be candid and forthcomingwe learn the most from our mistakes
  4. Identify the amount of time youll need for the interviewbe specific and honest here
  5. Let them know when you plan on calling to schedule the interview at their convenience

Even though there are a lot of elements you need to include, it is important that you keep your note brief and to the point. For these notes, straightforward information and a simple request will be your most persuasive argument.

Introduction Note from Key Executive

This is your best option for improving participation rates. You can send the e-mail on behalf of the executive, but you will want the executive to understand what youre doing and have him or her sign off on the processas they could get replies from decision makers and they will need to be in a position to respond to those replies. C-level executive sponsorship will do wonders for increasing response rates, with the CEO being the best possible option.

This approach is easiest if you have a direct executive sponsor. You will be sending the e-mail on behalf of the executive you ultimately get to sponsor your efforts. This way, you have complete control over the process and your efforts wont be held up by the executives busy schedule.

When you have an executive sponsor, you will want to emphasize to respondents that they can reach out to the executive if they have any questions or concerns. Make sure your executive is prepared for this situation, as it can really have a positive impact on decision makers when they see your companys commitment to them and improving your solution to meet their needs.

Introduction Note from Responsible Sales Representative

If you cant get an executive sponsor, the next best solution is to involve sales in the win loss analysis process. An important distinction here is that the sales rep responsible for the deal should not be doing the interview with decision makers. Decision makers will filter out information they perceive to be negative if the sales representative is the one doing the interview with them. See my post on sales-derived versus decision maker-derived win loss analysis for more on this topic.

In order to get sales support, you will likely have to overcome some natural anxiety that the sales representative will have with you contacting the people they were selling to. You will want to reinforce that this process is to identify areas for improvementto help them sell moreand not a witch hunt. Dont be too hard on your sales repsimagine how you would feel if someone said they were going to come in and analyze how you were doing your job. Its natural for them to feel some discomfort, but once they see the results of your efforts and how you intend to leverage those results, this discomfort and anxiety should fade away.

You will want to send the e-mail on behalf of the sales representative so that you can control the process, although we have quite a few customers that have their sales representatives send the introduction notes directly. A sales representative introduction note differs in a few ways from an executive introduction note. You will want to add the following elements to your sales introduction notes:

  1. Reinforce that you are not trying to re-engage the sales process (applies to losses and no decisions)
  2. Make the request for a debrief a personal request on behalf of the sales repleverage the relationship the sales person has with them

Introduction Note From You

If you are utilizing this method it means that you werent able to get executive sponsorship or sales support in your efforts to review why you are winning and losing. Dont worry, you can overcome this lack of sponsorship and sales support by pressing forward and gathering actionable data that you can share with both executives and sales. Utilize the data to accomplish your objectives, but dont be selfish with it. Share the data with everyone you think could benefit from it, including the CEO (trust me, these guys are ALWAYS interested in why you are winning and losing), product management, product marketing, sales support, sales management, marketing, and sales representatives. In our experience, it only takes sharing a couple of reviewed opportunities (especially losses) before both executives and sales will recognize the value of the intelligence and get on board with the program. However, this cant happen if you arent sharing the dataIve seen too many cases where this valuable intelligence isnt shared across the organization.

The most important thing to remember about introduction notes that are coming from you is that you are letting the decision maker know why you want to talk to them and removing that surprise element. Practicing this will improve your response rates, but your real goal is to upgrade your program to the executive-level introduction notes or the sales representative introduction notes.

Sample Introduction Note Templates

Over the years, Primary Intelligence has created many of the three types of introduction notes I described above. We have spent a lot of time and effort in creating notes that will elicit the kind of response we need to be successful. If you would like a template for one of these introduction note types, send me an e-mail with the template you are interested in and Ill send you a sample of what were currently using to help move you along with this best practice.

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About the Author: Ken Allred, Founder and CEO of Primary Intelligence, is a thought leader in SaaS-based sales intelligence, analytics and sales enablement solutions. He is committed to the optimization of sales, marketing and product management teams through the implementation of advanced Sales 2.0 intelligence solutions.

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Why are marketers so bad at measuring social media?

Novembre 10, 2009