Fired – Villas-Boas. Picture: uefa.com

The leadership brouhaha of the week was the sacking of Chelsea Football manager André Villas-Boas after only 8 months in charge. This means the London soccer club is looking for its eighth manager since Russian billionaire Roman Abramovich bought it in 2003.

When not firing managers, Abramovich is famous for, among other things, spending $52,215.34 on a lunch for 6 in at Nello’s in Manhattan.

Villas-Boas’ error, like those fired before him (bar one who quit) is he didn’t win enough fast enough. In his charge the team won three of their last 12 Premier League games, and face exit to SSC Napoli after loosing the first leg of their UEFA Champions League round-of-16 tie.

Villas-Boas’ remuneration for the year, including severance, is around the $20m mark.

In industry foresight, noticing extremes helps us see and interpret less visible changes in the world. Stellar pay and commensurately rapid churn at the top of Chelsea FC clues us in to what is going on in the daily mainstream that we may be too immersed in to register.

High pay is nothing new. Also, evidence of high CEO churn is on the radar. A 2006 University of  Chicago study showed CEO turnover was 17.4% per year 1998-2005, implying average tenure of less than six years. It related CEO longevity to three components of stock performance – performance relative to industry, industry performance relative to the overall market, and the performance of the overall stock market.

More recently, executive search firm Crist|Kolder studied Fortune 500 and S&P 500 companies and found that while average CEO churn dipped during the recession it was back on the way up, hitting 13% in 2011.

“Win Now”

What is less clear at this point is the correlation between higher pay levels and higher churn, that may play out more fully in the future. But if the trend is that CEOs are increasingly paid like sports (or sports management) stars — and they are — it’s reasonable to anticipate that this will be on an ever-increasingly short-fuse “win-now” basis.

If the analogy holds, we can expect chief executives to face shorter and shorter periods to justify their pay; probably the higher the remuneration the shorter the justification period. Where eye-watering sums are changing hands, fingers will be itchy on the trigger.

The poverty of management decision-making here is not just in embracing and fostering short-termism, the cancer of management. It is in prejudging and potentially wasting leadership talent, because short-term data is effectively no data. Put it another way, short-term wins or losses are at the mercy of randomness, such that what looks like good or bad results are almost always part of normal near-term fluctuation spread, as argued by Nassim Taleb in his book “Fooled By Randomness.”

Over the long term, twists of fate, or twists of ankles are ironed out, and quality prevails. Nobody would argue that Steve Jobs was not successful or not worthy of star pay. But Villas-Boas … won championships for Porto FC in 2010 and lost championships for Chelsea FC in 2011, and neither results tell us or Abramovich whether he’s any good or not.

The only thing we can expect with confidence is that where the sports-star model of remuneration migrates, Boards (or shareholders) will be eager to read too much into early data, and prone to make Abramovich-like decisions.

I was lucky enough to be asked to do the opening address at the conference, and even luckier in that this Web site: South Africa – The Good News summarized some of what I and others said:

“Adam Gordon, Foresight Project Director and author of “Future Savvy” gave us some pointers:

1. Beware of sector experts, they are deeply entrenched in the present.
2. The consumer and choice is the determinant, not technology.
3. Change is about overestimating followed by underestimating.
4. Trends are patterns in the data, behind the trend are enablers and drivers, but frictional forces exist and in front of the trend are turners and blockers.
5. Trend extrapolation is limited, don’t fall foul of the turkey syndrome.
6. There is well behaved and badly behaved change. Both can be predictable and unpredictable. The potential of sudden shifts always lurks.
7. Scenario planning wraps up the key uncertainties over which we have no control.

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“The ‘BIG’ question he asks is ‘when do we influence the future and when do we adapt?’ There are big predictable forces out there (like population growth / the diminishing availability of oil etc), and there are big unpredictable forces out there (ja, well no fine!). Importantly, we can design our ability to influence and we can design the way we adapt. It is critical that we are able to do both.

“But managing the future is more than just about scenario planning, it is also about the implementation of the plan. It is about developing a methodology that prioritises, engages with stakeholders, and enables proactive actions on the ground.

So how?

Some important considerations (from various speakers):

1. Often we know what causes the problem (poverty, crime, HIV) but we don’t know what to do about it.
2. Often the logic that gives rise to the problem is not the logic that will solve the problem.
3. Mostly the problem does not contain the makings of the solution.
4. Solutions in one area can exacerbate problems in another.
5. The current situation has momentum, change to the system should happen concurrently not suddenly.

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“What is critical is the foresight process, it must be well-informed so that the implementation strategies that follow have buy-in, are doable, are relevant and far-reaching. There is a very real danger of visions being disconnected, unachievable and, at the end of the day, a pipe-dream.”

Dr Elizabeth Dostal talked of a stakeholder democracy in which she promoted the design of a matrix that recognised different stakeholder levels on the vertical axis and different environmental dimensions on the horizontal axis. A multi-level, multi-dimensional model.

“Imagine” she said, “putting four Nobel Peace laureates together and asking them what the causes of global conflict are. One may argue poverty, another ideology, another resources, and another greed. In no time, they would all be in different silo’s defending their view, in one sense they are all right, but in another sense they have not looked at the whole picture. A multi-level, multi-dimensional model would reveal this, the gaps in their logic, and the opportunities for agreement.”

Yes, Ben. I’m sure you know this has all been said before ad nauseam. But more importantly, 40 years on many lessons have been learned, and it wouldn’t run foul of quality journalism standards to reflect this.

First, let’s be clear: nobody can predict the future. Anyone who says they can is a charlatan. Also, yes, unconscionably dreadful and irresponsible predictions have been made and are continually being made. But there are three problems with the ‘no-flying-car-so-there-we-can’t-predict-the-future’ argument:

(1) The kinds of predictions Millar cites are a product of a particular moment in Western thought and therefore foresight. The 1960s and early 70s were a time of Post-War American emergence, unleashing for a while a techno-futurist predictive rapture, most of which has indeed proved to be rubbish. There are still people, very famous talking-head futurists, promoting techno-rapture for the 21st century (caveat emptor) but as a whole the foresight field has moved on to become much more circumspect about what can be predicted.

Balancing techno-fantasy

Foresight practitioners are these days more likely to balance technology wowee with economic, social, and environmental friction; see systemic (often indirect or counter-intuitive) effects where once only simple cause-and-effect was seen; and create scenarios of key alternative outcomes rather than predict one.

(2) The second thing that is missed in gleefully deriding foresight work, is how many people and institutions get it right, or right enough.  It’s axiomatic that in order to be successful a person or organization must have correctly assessed both key changes and rate of change in their operating environment. To take a famous case, as quoted in Future Savvy, while Nixon’s Vice President Spiro Agnew in 1972 erroneously forecast super-sonic passenger air travel, Herb Kelleher, founder of SouthWest Airlines, foresaw the low-cost air travel industry. Bingo. Billionaire. Similarly, behind every success one can find future thinking that, while sometimes latent, was present and correct.

(3) The purpose of foresight work is misunderstood. We cannot predict the future and it’s pointless to try. We can only assess signals of change, trends, and potential for surprises and reversals, including challenging our all-too-easily calcified mental models, and take this into a process of understanding alternative outcomes and pre-considering best strategic actions. In other words, actively stimulating the investigation and analysis of future conditions in order to create the basis of better decision-making today.

In fact sometimes the ‘strategic conversation’ that results from poor predictions is instructive to managers. As I say to clients: the goal of foresight work is better decisions not better predictions.

Back-street abortionists

The reality is that there is good and bad foresight work. Yes, some futurists are the technical and moral equivalent of back street abortionists. But the good work remains, and quality foresight is a critical advantage to decision-makers. The key thing is to be able to tell good foresight work from bad.

Simplistic trashing of foresight work en bloc ignores the weight of case evidence that people and organizations can improve their management of future uncertainty and/or create a situation where they manage the future better than competitors. Further, it encourages managers to fly blind into changing environments, often resulting in spectacularly poor decisions that deeply and widely punish their dependent stakeholders.

Book reviews by SAMI fellows and associates
“Future Savvy” by Adam Gordon (American Management Association, 2009)

“Forecasts and predictions are ubiquitous. We are bombarded with views of the future on a plethora of subjects from myriad sources, with a diverse set of motivations and self-interests. Adam Gordon seeks to provide a practical users guide to the assessment and interpretation of all things about the future, with special emphasis on the cautions and ‘health warnings’ that need to be applied, so as not to be misled by forecasts. However, the author is careful not to veer towards over-cynical dismissal of all future projections; rather, he seeks to provide guidance to the reader on how to apply the necessary caveats, and in the author’s words “profit from change”.

The book covers a very broad field, from the basic issues of the misuse of data and statistics, covering the quality and validity of data as well as their misinterpretation, through technology forecasting, trend and horizon scanning to quantitative modelling and scenarios. The one theme common to all these activities is the need to be alert to bias, whether it be a deliberate motive to influence behaviour through a dire prediction; or a bias inherent in futurologists needing to see rapid and pervasive change in all areas of society – if it exists or not – and evangelising it.

The track record of much futurology is mixed. Well-known examples are quoted: television did not lead to the end of the cinema industry. Nor has space exploration led to people taking foreign holidays on other planets – yet! Bias may also lie in the beholder. The ‘Zeitgeist’ tendency, whereby we are all influenced by contemporary perceptions, affects not only how “experts” and professionals see the world, but also how the audience receives the views of the future – often with unprepared minds. The internal “official future” of an organisation can pose a real blind spot to its progress.

The weaknesses of much quantitative modelling are highlighted, with such forecasts only being as good as the assumptions on which they are based, but which are often not overtly stated. In contrast to the conceptual and practical errors inherent in much futures output, the role and advantages of scenario planning are emphasised as a tool for challenging assumptions and developing alternative futures: “It’s better to be vaguely right than precisely wrong”.

The penultimate chapter takes examples of relatively recent forecasts from a range of organisations, whose subjects range from US agricultural production to UK dementia sufferers. These are subjected to a form of ‘retro wind-tunnelling’ to illustrate the deficiencies in their construction and how they would have benefited from the application of methodologies described earlier in the book. The final chapter provides a summary checklist, or framework, to apply in evaluating forecasts and future predictions.

Adam Gordon has written a shrewd and perceptive book that deserves a wide readership, especially among managers in both the private and public sectors, as well as the familiar ‘general reader’. Those wishing a more detailed technical guide to the various forecasting and futurist methodologies will need to consult other standard works. Professionals in the fields of management and strategy consulting and scenario practitioners might well be familiar with many of the points made in the book. However, those with some savvy might do well to recommend the book to their clients.

Michael Owen, 20 April 2009

The IFTF’s full map is available for download here.  Quick aside: these maps, putting complex forces into visuals, have defined IFTF’s public (and client, one presumes) communications for over five years, and have raised the bar of excellence in the foresight communications. The company has produced many such outstanding maps, some publicly available.

The new map and Sir Fred-gate are unrelated of course. But here was the connection for me: The IFTF map lists six “Key Driving Forces” (2007-2017) in the area of sustainability, and the first is:
“An Imperative for Looking Long: The 21st century will test our ability to grasp the future impacts of present choices, but even as we struggle to incorporate future knowledge into our day-to-day decisions, we’re tuning up our bodies and minds and even our cultural frameworks for a much longer view.”

My question is, “really?” Is the long view really a driver – something that will drive change and shape the future? Or do we hope it is. Are we trying to talk it into being?

No question that the long-term view is crucial. Solving just about any social, technological, or environmental problem requires sustained long-term action. And everyone who works in foresight keeps evangelizing long-termism. But, in fact, what we have in industry and government is rampant short-termism and there is no indication this will change, despite the crisis and many heartfelt calls.

Linking big to long

The problem with Sir Goodwin’s package (in career and in retirement) is that the reward numbers were based on short-term company returns. “Hey, we made lots of money this year, so you get a big bonus, and you get a big bonus,” etc. But a few years down the line  – in the long term – it turns out that no bonuses were valid (if a bonus is, truly, a reward for success).

Put it another way: in finance, as in other aspects of society, technology, and the environment, we don’t know if we’ve succeeded or failed until the long-term numbers are in. Few would have a problem with handsome rewards for a valuable job well done, but those rewards must surely be delayed, and delayed, until we are in command of the long view of the performance.

Easy in theory, hard in practice. Perhaps impossible in practice when most politicians and legislators are themselves on a short 3-7 year cycle, like CEOs. I have some inkling from the IFTF map that the thinking is that life-extending technologies will improve to the point where people will really see themselves in for the long haul, and so adopt a longer perspective on benefits and rewards.

Time on the clock

Perhaps. But, life-technologies aside, plenty of decision-makers – Goodwin included – still have a lot of time left on the clock and that doesn’t appear to stop them chasing and cashing in short-term incentives at the expense of the future. Or legislators (and the public who votes them in) structuring performance rating on our immediate perception of their performance.

What we have, and what we have increasingly had (the trend) over the past few decades, is systemic short-termism. Winning in the next annual report or the next election is what what leaders’ rewards are based on. Incentives for politicians or business leaders or even scientists or engineers to make a better world for 2025 or 2050 are negligable.

Until there is reason to anticipate that this fundamental underlying short-term incentive structure and mentality changes (that is – convince me – who will change it and how?) the future savvy perspective must say that the “long-term imperative” remains a nice sound-bite, but not a material driver of anything.

Kelly needs no introduction. He’s the executive editor of Wired and a core who’s-who in the new media technology world. The first lesson he has to share is a key one: the Web is only about 5,000 days old – that’s about 13 years (the Internet, DARPA, etc., is older) – and all the stuff we have and now take for granted, from online investing to social networking to Wikipedia has happened in this short time.

The video is available here:

As Kelly says, and he’s undoubtedly right: “if I had predicted all this would be there (and free) nobody would have believed it. It’s impossible. The lesson is that very big changes do occur in fast-moving industries when considered over a decent-length (e.g. 10-15 year) timeframe. So let’s not kid ourselves: mere extrapolation of current trends doesn’t take us to the future. A leap – a paradigm shift – a willingness to anticipate fundamental shifts in technologies, institutions, and business models, is required.

So, against this, it is interesting that much of what Kelly predicts for the next 5,000 days of the Web is fairly conservative… but he does build in the idea of a new, fundamental shift.

The Web in 2020

What does he see coming in the next 5,000 days?

1. First thing is what Kelly calls “Embodiment” of the Web, by which he means that every device, every screen (laptop, phone, iPod, sat-nav, etc) becomes a “window into the machine” rather than a stand-alone device. There will be one Web, one machine, and everything will go through it. Part of this is that the Web will be embedded into the physical world – inanimate objects from cars to shoes to will have connectivity. Whether through RFID or other technologies, “there will be an Internet of things.”

Hello? We’ve heard this all before. Many times. In fact we were hearing it in the 90s. This doesn’t mean it’s wrong. In fact if we’ve been hearing it for so long, and the trend is still clearly in this direction, the forecast is probably right. What’s interesting is how non-radical it is.

2. Next he talks about “Restructuring” which is his term for the “Semantic Web” or what some call “Web 3.0” The idea is: first we linked computers (the Net), then we linked pages (the Web), and next we will link all the data or information or ideas anywhere on the Web to all relevant data /information/ ideas elsewhere on the Web. (This made possible by technologies such as XML, RSS, OWL, API, RDF)

One of the payoffs of this, says Kelly in an illuminating example, is that we won’t have to “re-friend” in each social networking platform. The technology will know we’re “friends” with Warren Buffet and Tom Peters and Malcolm Gladwell (…lol) as we move from Linked-In to Facebook to Technorati, and so on.

3. Kelly’s final point is that humans will be co-dependent with the Web. It will be always on, always there, ubiquitous, and the single fundamental tool we depend on to do everything.

Again, there’s nothing new in these points. It’s all been said before. In fact, as is often the case in good futures thinking, the value in Kelly’s forecast is that it is a carefully considered “cut” from what is usually forecast, leaving behind the wilder things that are said. Kelly on Web 2020 doesn’t say “expect digital human implants; ‘conscious’ devices; retina-as-screen,” and so on – the beam-me-up-Scotty kind of foresight that unfortunately often gets the headlines.

The next stage
Nevertheless, he is equally not saying the next 5,000 days will be “like the Web, only better.” The capabilities, the embodiment, the dependency, imply a new stage, he says. What that new stage will look like at the business and institutional level – what products/services/delivery will be possible via Web 3.0 – what the Yahoo or Google or Facebook or similar iconic institutions will there be, Kelly does not get into.

Fully thinking through the next 5,000 days of the Web involves going from the capabilities to what is built on them. But all in all this is a classy, integrated piece of future thinking (that easily fulfills the Questions to Ask of any Forecast checklist in Chapter 11 of “Future Savvy”) and is a solid foundation on which to consider future business and organizational implications.

I was reminded of this when, as my wife and I were talking happily about the Obama “Yes-We-Can” victory speech, our 3-year-old daughter piped up: “Bob-the-Builder”! [The economy's in crisis, can we fix it?] “Yes we can!” [The war in Iraq, can we fix it?] “Yes we can!”

If this means nothing to you, see http://www.bobthebuilder.com/ca/english/index.asp

This is not subtle stuff, this speechwriting. And politics is nothing if not the art of appealing to the 3-yr-old in all of us. But, as they say, “a win is a win.”

Anyway, it is for the foresight community to to get past the day’s euphoria and ask, what does this mean for the future? I think the win has trend tipping-point implications and allows some future-thinking insights to be accumulated.

The “Hawaiian” Future

One of the things Jim Dator and the Hawaii Research Center for Future Studies have long been saying is, “the future of the world is brown.” The running, long-term trend they are referring to is the movement of power and money from the white West to the brown East, and (eventually) South. And, on similar lines, we have seen rise in number of inter-racial couples (and more acceptance of), and the strong fashion and pop-star chic-ness of being “mixed” race. This aspect of the world’s future has been more obvious, earlier, in Hawaii than other places in the US (and the Obama-Hawaii connection is pertinent here), but now it’s mainstream. This in itself is a lesson that the future is to be seen earlier in some places than others. Anyway, November 4, 2008, is surely the moment where the trend tips and accelerates.

This is not to be naive. Nothing about the result is going to kill racism or ethnic affiliation. The world is a competitive place, and people organize and identify into groups to compete (and restrict access to benefits) more effectively. Whitey halls of privilege will continue to exist. Islamic identification and action will continue to be a huge force, and so on. But now that there is (and in future always will have been) a black person in the world’s top job, nobody can ever look at another person of color and see an intrinsic limitation on what that person can do, be, influence, or own.

Images of the future

For at least half a century the world has known this in theory of course. But theory doesn’t move the world. Pictures move the world. That is, pictures of the future bring the future closer. Obama making the president-elect victory speech, or seeing him and his family move into the White House, will undo more mental models – more educated incapacity – in the area of race than anything that has gone before. For driving the future, the Obama success image is more powerful than a thousand well-meaning affirmative-action programs.

The ratchet effect

The other, simultaneous, foresight principle at work is that change proceeds by ratchet effect. Sticking with politics, the Suffragette movement gathered momentum and finally swept aside millennia of tradition after women were seen to do traditionally “male” jobs during WW1. Here again we have the change-power of images of the future. After women were seen in these new roles there was no way to put the genie back. Yes, social changes can be reversed or stalled (Roe vs Wade is in the mire) but once the image of the future is out there, and minds have absorbed and habituated to it, it may be opposed but never removed. And this is what November 4 promises: visually ratcheting forward the world-wide acceptance of the potential of all people regardless of race as fact not theory – thereby tipping and accelerating the long-term trend to “The Hawaiian Future.”

1. First, what do you use scenario planning for?
Initially stated everyone did scenario planning, every time you find yourself doing something unusual it implies you’ve done something wrong with scenario planning. We think about the future all the time, constantly making scenarios in head, if move to London think about what need to earn, where live, family, critical uncertainties. We run forward, think about various challenges, we rehearse the future.

CL wondered about ill thought through scenarios?

AG felt it was inevitable that people will disagree. End of day scenarios boil down to politics. Visionary scenario planning gets everyone talking – firstly need to find common threads (if not grounds), that most buy into – even if it is a low common denominator, thus creating a shared vision, then dystopias, but remember the end point is never total agreement.

RS Acknowledgment of importance of politics? Is that your experience of foresight?
AG believes he is a political animal, but no longer involved in protest. Belief is power is absolutely important when thinking about the future. He then amends it to power and money – as often groups without power have public opinions so they can shape the future. There is a danger that they only talk about market forces and technology and that’s it.
RS Is it a struggle working with other foresight groups – is that view not shared?
AG says they can give a shared opinion, but politics mostly overlooked by the groups

RS describes that we all have a political agenda (social inclusion, voices excluded) within this project – it makes it interesting to deal with those who have an economic/gov background, it’s difficult to pretend futures neutral.

2. Could you talk me through a brief overview of your scenario planning method? (How long does each stage take? What preparation is required for each stage? How many people are involved in each step?)

There is an underlying method – but each stage has some degree of flexibility and can use a variety of methods.

A. Handshaking stage
Firstly deciding what you’re doing, basic project stuff – who’s involved, what resources, what deliverables – key is choosing method and who’s involved, may have varying degree of democracy – heads or grass roots, be inter disciplinary or not, have a broad or narrow focus, and what type of input is required. Believes it needs to have mixed agenda. Note that relying totally on academics is bad.
Then you need to decide the dates your final scenarios will relate to – further in the future the more radical but less relevant to other people and harder to action. Most future scenarios are around 10 years ahead – as a rule not less than 5 or more than 20.

To decide the focus you must:
1) Drive management team towards understanding how much influence they have over the future, can they drive future or does external events influence them? Percentage, never exact but idea.
2) Based on the amount of control can decide if creating a visionary scenario or anticipatory (not good word) scenario building. Visionary trying to develop an idea, multiple stakeholders get shared ideal, easier if pressure group, one organisation, as they can develop enrich and jump on to focusing on how we would put this into practice. They create a vision and dystopia. Influence future (money, opinion etc).
In anticipatory, or “Businessy type scenario”, participants don’t mind how things turn out, what they want is to be successful in the world however it turns out. Within organisation goal is to anticipate broad set of possible worlds, particularly critical uncertainties. So they do have research scenarios and different takes on how things emerge, BUT no preferred future. Look at resource and competence so they may have preferences but can adapt. To same extent they look at legacy competencies but this is not a determining factor. Scope alternatives and plan.
The Handshaking stage takes a few meetings to do, small with key meeting, then larger with various stakeholders – perhaps half a day.
In terms of materials one could send out stimulating piece to encourage thought so not stone cold but which doesn’t colour the agenda. Could also have to read a synopsis of what the process is about and the sort of things to think about and expect.

B. Horizon scanning
There are 100s of ways of doing this. Basically need to go into world and do research on what’s going on in key dimensions, technology, markets – broad scan of world relevant to issue area, bring in people outside of own industry. Best tool in this area is “learning journey” – jazzy word for anthropology of own society, structured agenda for talking to people about concerns, what they know, what they’d like, focusing on future – so need to be carefully done to avoid reiteration of now or what they think you want to hear.
Note that you can commission this – but it is not market research.
No answer to how long, dependent on time and resources, but should budget third of total time.

C. Pulling it together
Mulch through the data gathered – preferably in funky creative meetings, collate, output into things like forces, drivers of change, trends, blockers of change, critical uncertainties. What comes out is a picture of world that’s relevant to us.
This activity could be whole group or just the scenario developing team – it’s to pull out what’s important.
The format could be something like workshop, sleep/gap, then another half day or so.

D. Separating critical from predetermined
This could require a Mini Delphi, talk to experts to find out what are the sorts of things in forces of change list that are predetermined – so things we know will happen in 2020, perhaps the number of students, or trends to sustainability.
The various issues will have lifecycles in being a key focus, they’ll always be there but the amount of interest will vary, eg sustainability. In the future sustainability will be less of a concern, but not less important, it will just be integrated into our expectations we won’t focus on it. An example relating to education is how we’ve shifted views on punishment; it was a stick, then detentions, then exclusion…
[Divergent conversation about the failure to correctly predict overpopulation – they just extrapolated – AG argues it was not a failed forecast, just bad forecasting - a failed forecast is interlocked bad assumptions. There was a discussion whether carbon credits will have the same results.]

E. Question all assumptions/Test lists
Note: This stage might highlight the need for more research or stakeholder engagement.
The goal is to end up with two lists that rank for importance. One is about predetermined things – things that we are sure about for our purposes – note that we may, or may not, need to talk about them. Then there are uncertainties (anything we can’t clarify with further research). They are sometimes called “strategic uncertainties”.

F. Create scenarios
These lists form basis of scenarios, they allow us to try out alternate resolutions of the unknowns. AG hates the 2 by 2 matrix approach (from Boston management), but it is sometimes a useful tool. Shell use a fork in the road approach, or possibly a roundabout, where there are clear alternatives. For example, they know sustainability will happen but they have various scenarios predicting the demand for resources. [RS comments that Shell also have a trilemma approach, so deal with three worries.]
More generally scenarios are structured round uncertainties. The van der Heijden approach is to list things and tell stories – NEEDS creative facilitators. He has a pack of cards which people develop stories around. Each group is given part of the puzzle to resolve. Basically you need judgement to choose how.
The groups then write stories and the facilitator ensures the scenarios cover the cone of plausible uncertainties. Note there must be multiple scenarios, a single story is not helpful.
The creation of scenarios will take a minimum of 2 days to talk through, write, draw or tell.

Note: Jump scenarios are conversations over a day. There is no learning journey and it’s hard work for the facilitator. The result is paragraphs rather than stories. These are good for management to emphasis the alternatives and broaden thinking

G. Check and test scenarios
Vital outside people criticise. What could and would work? This stakeholder analysis is meant to be a practical exercise.

H. Put them out
Visioning scenarios (including preferred outcome) get published, they need to get folks on board. Business ones tend to be more internal.
Then test existing strategic agenda within scenarios. They’re a test bed for strategy and choices. How would things work?
Or backcast using the scenarios – so how to reach or avoid scenarios.
AG keen to promote that there needs to be standards, just like testing a pram, you need to exhaust all the things that could happen before it gets its kite mark.
[There was a conversational aside over the time spent on this. AG worried not enough time spent using them and that politics will block change – “if broke don’t fix it”. People need to be desperate to be receptive.]

3. Do you use any tools for scenario planning? If so, can you briefly describe them?

Classic management tools – so getting people to communicate, being experienced based.

4. Are any of those tools online?

Nothing practical is online but there are resources and case studies (see his website). Although then amended that can do Delphi online. Note that learning journey is not market research, not supposed to be investigating people’s mental models – “good foresight is not predictive”.

5. What scenario planning tools would you ideally like to have available?

Something that follows stages explaining steps, timelines, who’s involved, explaining predetermined and uncertainties when listing – basically scaffolding.

6. If time was restricted for a scenario planning exercise, which parts would you keep because they’re the most important?

Would go through all stages (tick all boxes) but go lightly on some. However the less knowledge bought in the more focus on facilitation. The key is to get people to develop interesting motivating diverse stories appropriate to their needs.

7. What tools or approach would you recommend if a non-expert wanted to do scenario planning?

When asked AG said that don’t need a facilitator but would do better if had one. They focus the time and can support the whole process – not just when in workshops. Those involved aren’t experts and have a stake in the present so they’re going to struggle to change their minds.

When asked if it could be done alone AG said yes, BUT that it would be better if one could do at least step G, testing scenarios, with others.

Decision success always implies congruence between decisions and the world in which those decisions play out. If we decide today to launch a product, buy a house, study for a degree, build a new light rail system, or take any similar decision of significance, the environment of tomorrow will be a key factor in the success or failure of that decision. What we do will be tested by the future conditions that emerge. Where there is a good “fit” between the initiative and the environment it plays out in — “the right product at the right time” — we can expect success. If not, we should expect to fail. Our decisions are only as good as the view of the future they rest on. All opportunities and successes and profits are realized in the future. All threats, failures, and losses are in the future.

In a fast-moving world, we know that the future environment will be different to that of today in big or small ways. New technologies, market shifts, changes in legislation, or evolving social values damage or destroy the traditional good fit we have between ourselves and the world. To achieve “future fit” we therefore use forecasts to position ourselves and our organizations, creating (or renewing) the fit between our initiatives and environment. In some cases we may be strong enough also to influence future events and outcomes for our own future benefit, and forecasts help us do this too.

All enterprises benefit from narrowing down what they must adapt to and plan for – all effort spent preparing for a future that will not emerge is a waste of personal or organizational resources. Good forecasts are a key ingredient in limiting the vagaries of uncertainty, and therein working smarter not harder, avoiding surprises, exploiting new opportunities and plugging weaknesses in fitting in with the future, and where possible influencing the future to suit the organization. This is true not only of business. People and institutions of all types position themselves for success by anticipating and adapting to events, or shaping them. Whether it is an NGO raising money for developing-world children, an urban planner advocating a light rail system, a homeowner deciding to sell a house, or a student making a career choice, identical principles apply — a higher-quality reading of the future operating environment in which these decisions will play out is what separates winners from losers. We should all be vitally concerned with forecasts as we are all effectively betting significant resources on their validity.

Chapter 1: Recognizing Forecast Intentions, deals with considerations of how forecasts come about, who makes them, and with what intention. Those who research and produce forecasts, those who invest in understanding trends and drivers of change, and those (including the media) who bring the forecasts and their implications to our attention, inevitably have reasons for doing so – to benefit from the knowledge by seizing opportunities or avoiding threats or by affecting outcomes in the world. Understanding a forecast’s “return on investment” gives us an important vantage point in assessing the merits of a forecast.

Chapter 2: The Quality of Information, shows how a forecast communicates information between forecaster and reader subject to the same standards of accuracy, truth-telling, and bias-control by which one would judge any communication. Forecasts can be very different in methods and goals, but all forecasts lay claim to factual truth, particularly truth in the data, and the argument deals with the various ways in which data can be less solid than it looks, even with the best intentions.

Chapter 3: Interpretation and Bias, considers how data – whether good or bad in itself – can be interpreted or misinterpreted in forecasting, that is, the “political” aspects of forecasting. Just as there is no value-free look at history, so too there is no value-free look to the future and asking the right questions allows us be ready to mentally rebalance forecasts that are presented.

Chapter 4: Paradigms and Perception, investigates how predictive statements are exposed to a broader form of interpretive bias that has to do with the forecaster’s mental model or “paradigm,” and the “zeitgeist” (spirit of the times) when the forecast is made. This chapter investigates situations where forecast failure is caused by failure to escape society’s current mental models – which often do not hold through the forecast period.

Chapter 5: The Utility Principle, considers economic and market forces, and the role of consumers, in promoting or resisting the future. Without reigning in creative thinking, some simple economic filters inevitably apply direction or timing realism to futurist flights of fancy.

Chapter 6: Drivers, Blockers, and Trends, consider drivers and blockers of change, and how viewing these dynamics improves forecast assessment. It identifies the roles of Drivers, Enablers, Friction, and Blockers acting on events to cause change or resist it, and problems in dumbly projecting current trends.

Chapter 7: The Limits of Quantitative Analysis, discusses the role of statistical analysis and quantitative modeling in predicting the future – where this is possible and useful and where it is not, and why not.

Chapter 8: The Systems Perspective, investigates “system effects,” which occur whenever different elements or variables that may appear isolated are in fact linked together, such that changes in one element cause changes in others. Anticipating future behavior of any variable hinges on identifying the broader systemic elements influencing it and failing to do this is a big part of what causes forecasts to fail.

Chapter 9: Living with Alternative Futures, investigates non-predictive ways of approaching change – where the tone is more about managing uncertainty than predicting the future. It acknowledges unfathomable complexity of most future questions and provides perspectives that raise chances of success in an inherently unpredictable future.

Chapter 10: Forecast Filtering in Action, illustrates the processes of the book by applying them in case studies to real-world sample forecasts that decision makers in business and policy areas might find themselves interacting with. This demonstrates how real everyday predictive material may be probed and critically evaluated, following the principles developed in previous chapters.

Chapter 11: A Forecast Filtering Checklist, is a cross-cutting checklist which summarizes the principles of the book in one convenient, thematic list.