Posted by Adam Gordon on Apr 14, 2009 in all, forecast filtering, Future Savvy, lifestyles & values, scenario planning, strategic foresight
There’s been a storm in the past few days over Amazon.com excluding “adult” books from its sales rankings. Among the almost 60,000 books affected was not just Erotica. Feminist books, Gay & Lesbian titles, and books in Health, Mind & Body, and Reproductive & Sexual Medicine also disappeared from the rankings
According to yesterday’s LA Times Amazon says the whole thing was a cataloging error. But when author Mark Probst had previously contacted Amazon for an explanation, he got this: “In consideration of our entire customer base, we exclude “adult” material from appearing in some searches and best seller lists.”
Aside: Everyone is trying to figure out what Twitter is good for, or how it will be used, and it has become clear that one application is to quickly aggregate mass protest, evidenced in the anti-Amazon outrage, see Twitter “Amazonfail.”
Author Maya Reynolds has been connecting the dots in the future of publishing, watching Amazon move via acquisitions such as Abe Books, Audible, BookFinder, BookSurge, Brilliance Audio, FillZ, GoJaba, Library Thing, Mobipocket and Shelfari.
She is among various industry watchers who claim, with fair evidence, that Amazon is following a “Wal-Mart” strategy – the well-documented essence of which is to gain enough retailer power to be able to pressure suppliers (telling them what to make or what to charge, or exacting special discounts) to achieve better retail prices and get more retailer power, in a reinforcing spiral which, inter alia, squeezes all the healthy mom-’n-pop-shop diversity and other balances of power out of the industry.
In a post of July 08 she paints the full dystopia scenario:
“1. First, the smaller presses, POD presses and e-publishers will disappear as Amazon’s margins squeeze them out of business. Amazon will help the process along by offering better terms to authors if they will use BookSurge’s POD press and Kindle’s e-book to publish. Even if authors don’t embrace Amazon initially, as their publishers go out of business, they will be forced to do so.
“2. Brick-and-mortar stores have two constraints which Amazon does not: (1) limited shelf space and (2) a limited geographic range. Bookstores carry books “on spec,” filling their shelves with stock they hope readers will seek. Amazon, on the other hand, has unlimited virtual shelf space and unlimited geographic reach. Amazon does not have to warehouse stock. They can wait until a book is actually ordered and the money is in hand before using a digital file and BookSurge to print the book. Because they cannot match the deep discounts Amazon offers, bricks-and-mortar bookstores–already under siege–will be squeezed out of existence.
“3. Like Wal-Mart, Amazon will continue to apply pressure on publishers to give more favorable terms. Wal-Mart’s suppliers used cheaper materials and out-sourced to cheaper overseas labor. As the publishing houses’ profit margins are squeezed, their cost-cutting efforts will take three directions: (1) Focus even more attention on signing best-selling authors whose work is guaranteed to sell; (2) Begin to pressure their mid-list authors to accept lower advances and lower royalty percentages; and (3) Sign fewer and fewer new authors because of the uncertainty and the expense of growing a new writer.
Where will they go?
“4. Mid-list authors and new authors, unable to either find a publisher or unwilling to accept the low royalties, will seek to self-publish. Where will they go? Since, by that time, most of the self-publishing houses will have gone out of business, they will go to Amazon’s BookSurge or to Amazon’s e-book division, Kindle. Amazon will welcome them.
“5. The next death on the food chain will be the publishers and agents themselves. First the mid-level publishers will die. Well-known agents and the larger houses will be protected for a period of time by their best-selling authors who are loyal to them. However, as those cash cows die off, so will the agents and larger houses. A new paradigm will emerge: Amazon as both publisher and retailer.
“6. Eventually Amazon will have so much power, they will be able to decide WHAT is worthy of being published. Welcome to the future of publishing.”
Is this the future of publishing? The logic of unregulated industry power suggests it is. But Future Savvy says response – regulation – is also likely. As with Microsoft and many before them, when Amazon gets too powerful, anti-trust regulators should be in business. But only if their hand is pushed. Articulate and persuasive dystopias such as Reynolds’ are the single most powerful mechanism by which the word is spread (spread it! forward it, tweet it!) so that enough consumers get to see and believe threatening future outcomes early enough, and pressure regulators to act.
read morePosted by Adam Gordon on Apr 8, 2009 in all, Future Savvy, leadership, management
Strategy and Management guru Gary Hamel recently had things to say on the WSJ blog about how management needs to evolve, as follows:
Says Hamel, “The experience of growing up online will profoundly shape the workplace expectations of “Generation F” – the Facebook Generation. At a minimum, they’ll expect the social environment of work to reflect the social context of the Web, rather than as is currently the case, a mid-20th-century Weberian bureaucracy.
“If your company hopes to attract the most creative and energetic members of Gen F, it will need to understand these Internet-derived expectations, and then reinvent its management practices accordingly.”
He cites 12 work-relevant “the post-bureaucratic realities” that tomorrow’s employees will use as yardsticks in determining whether your company is “with it” or “past it.” These are:
1. All ideas compete on an equal footing.
2. Contribution counts for more than credentials.
3. Hierarchies are natural, not prescribed.
4. Leaders serve rather than preside.
5. Tasks are chosen, not assigned.
6. Groups are self-defining and -organizing.
7. Resources get attracted, not allocated.
8. Power comes from sharing information, not hoarding it.
9. Opinions compound and decisions are peer-reviewed.
10. Users can veto most policy decisions.
11. Intrinsic rewards matter most.
12. Hackers are heroes.
One hesitates to question Hamel, whose edifice of work, bookended by Competing for the Future (1994) and The Future of Management (2007) is as eloquent and substantiated a guide for innovation and future-thinking in management as you will find.
But, what is startling, for those of us around long enough to remember the Web-excited 1990s, which includes Hamel of course, is that these 12 principles are really old stuff, the mantras of the Internet 1.0 … the needs of Gen F are apparently not different to the needs of Gen Y.
But, now it’s a dozen years later, and this future is still the future. Hmm.
New management, but not in old bottles
Actually, surely Hamel’s beef is with the Fortune 500 set particularly, because what has happened is that most small and niche companies have already embraced a big chunk of these new-management attributes. It’s specifically the Fortune 500 that lags: but then, running organizations with stakeholders and budgets resembling mid-sized countries seems to fly in the face of Gen F value set.
Looking abroad, it appears that a Chinese factory or an Indian call center are not about to convert to Gen-F values either. Command and control, and uncreative hyper-attention attention to margins — effected by the Weberian bureaucracy — is the route to profit for them. The old paradigm will rule, and rule well.
From the Future Savvy vantage point, the real future will have, broadly speaking, two types of firm, the Weberian and the Gen-F. Firms running 19th century-type businesses will run them in 19C ways. Funky firms exploiting new ideas have already changed management style significantly and will continue to do so.
read morePosted by Adam Gordon on Mar 30, 2009 in 2015, all, economy & finance, leadership, lifestyles & values, management, managing uncertainty, social change, strategic foresight, trend tracking
The International Herald Tribune (New York Times Global Edition / Reuters Business) last week ran an interesting foresight story headlined ‘Crisis complicates forecasting by luxury brands,’ reporting from the International Herald Tribune’s eighth conference on luxury in New Delhi. The gist was that although most of the famous brands continue to do well despite the recession, luxury sector executives are very uncertain about the future.
Christian Blanckaert, Executive Vice President at Hermès International was quoted as saying: “We have absolutely no visibility into 2009!”
On the one hand, fair enough. This economic downturn is steeper than previous down cycles, and the basic viability of the financial sector has been tested. Access to credit is normally easier in a recession, but in this one it is not. All of which makes luxury spending harder to predict.
No doubt the most unlikely prediction of all would have been that Hermès, Burberry, LVMH, Moët Hennessy, Louis Vuitton, and PPR (Gucci , Yves Saint Laurent) have all recently reported better-than-expected results.
Nevertheless luxury industry leaders have declined to provide investors and analysts with any official outlook. What’s curious, from an industry foresight point of view, is how executives such as Blanckaert thought they really had more “visibility” into any previous year, or that they will somehow gain it again when the financial crisis is over. They will not. The world will continue to surprise them and us. What they will gain, certainly, is a greater likelihood that the standard business-as-usual future assumptions they make will not be upset by reality.
Meanwhile, judging by the conference, the luxury goods industry has a very decent grip on current social and moral trends, and clear insight into the bigger picture of change in its industry over the next five to ten years. As they know from before, what happens in a recession is that luxury goes out of fashion. Conspicuous consumption wanes, or retreats further behind secluded walls. This is a basic pendulum swing that tracks the economy (witness how the early 1990s recession stimulated a return to “values” era after the “me, me, me” 1980s.)
Sustainable luxury
So we are again in a swing to modesty. But we also know that each swing of the pendulum also carries with it the specific issues of its time. Current key issues for consumers in this segment are sustainability, global warming, business ethics, and globalization (or fear thereof).
Therefore the luxury brands will be looking for ways of making, transporting, and displaying goods in an energy-efficient and socially conscious way, including a renewed emphasis on local artisans and traditional craftsmanship that speaks sustainability in both natural and human resources. This will be the basis of the “sustainable luxury,” positioning that the famous houses will define and compete in. Fabulous and renewable – now there’s something you can charge top dollar for.
read morePosted by Adam Gordon on Aug 13, 2008 in all, foresight tools & methods, horizon scanning, leadership, scenario planning, strategic foresight, trend tracking
Last week I ran a one-day workshop (view program blurb – item C9 – here) “How to Build and Use Scenarios” in the pre-conference courses at the WFS annual meeting in DC. We had 38 attendees and by all accounts much was learned (including by me of course).
This was a fairly typical example of the Intro Workshop in Scenarios program that I run, so I’ve decided to post it on SlideShare, see link below. Let me know what you think.
What is different about this course at this venue, particularly, is that the attendees come from a wide spectrum of industries and sectors (from Nestle strategist to the Canadian military planners, to Mauri sustainability experts, and beyond), and have a very wide background/preparation in futures tools and methods. There were relative experts in the room, and some absolute novices. … nothing like a challenge for the facilitator!
Slides from the day are at http://www.slideshare.net/adgo/how-to-build-and-use-scenarios-day-workshop
some pix:
read morePosted by Adam Gordon on Aug 7, 2008 in all, foresight tools & methods, horizon scanning, scenario planning, trend tracking
I was interviewed at length about scenario building by a foresight firm in the UK a few weeks back. They took notes (more than I deserved, no doubt) and here they are, below.
In the notes, which are typed live and necessarily brief, I’m “AG”. The others are participants asking questions and making comments…
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.
read morePosted by Adam Gordon on Jul 15, 2008 in 2015, 2025, all, emerging technologies, failed predictions, forecast filtering, horizon scanning, lifestyles & values, managing uncertainty, Perils of Prediction, politics of the future, social change, strategic foresight, technology change, trend tracking
In planning seminars and discussions about the future, a key topic is inevitably “technology change.” Participants will turn to each other, or perhaps to industry research or techno-tracking Web sites or “technology roadmaps” to consider technology changes in their industry and in the world at large, and how this may change the future.
So far so good. Tracking technology change is an important stage in scanning the external environment and anticipating sources or change and/or disruption. But no technology ever changed itself. History is littered with fabulous mind-bending, world-changing technologies that didn’t make it out of the lab. In fact, technologies only change because humans or human institutions want them to change AND (two separate hurdles here) they allow them to change.
Most people, most of the time, want technologies to change because they change for the better, improving products and services and/or making them cheaper. Companies want new technologies because improvements offer new sales options and (sometimes) industry competitive advantage, among other things. Societies express the desire for technology to go forward by stimulating and facilitating change in many ways (for example through government or industry funding of R&D or protecting intellectual property or making capital markets more transparent.)
Technology filtered by human choice
Once a technology breakthrough emerges, that’s hardly the end of the story. In fact it is still very much the beginning. New technologies of any importance are subject to public scrutiny and choices. Individually, or as a society, we ask ourselves, is this technology good for us? Debates happen, and power and politics and regulation takes its course, but one way or another technologies that most people like – mobile phone’s for example – will go forward while technologies such as GMOs will stall. Also, in a market economy, technologies are inescapably subject to consumer economics: those that raise user benefit (pass a buyer;s cost-benefit analysis) will be adopted. Those that don’t sit in the lab.
In other words, technology possibility is a matter of science and engineering, and the possibility frontier is expanding all the time, but the road from possibility to actuality is the rocky road of human ideas, preferences, and choices. Technology change means technology adoption, that is, it is a form of social change.
Why is this distinction important? Because one of the main reasons forecast fail is they see the technology possibility frontier as the future, underestimating the forces of social triage. There are two sites that I love that illustrate this wonderfully. Check out Paleo-Future (A Look into the Future that Never Was) and Modern Mechanics (Yesterday’s Tomorrow Today). Both are crammed with failed forecasts of this type. This is not to say that we cannot forecast usefully – much more to come on this in this journal – but it does give us pause in viewing many of today’s techno-inspired forecasts which make the same type of error. (Pics credit to the sites mentioned.)
Posted by Adam Gordon on Jul 11, 2008 in 2015, 2025, all, failed predictions, forecast filtering, foresight tools & methods, Future Savvy, managing uncertainty, Perils of Prediction, strategic foresight, technology change, trend tracking
This is a how-to book: how to evaluate predictions about the future – how to assess which ones are credible and/or how credible they are (how likely the future will turn out similar to the prediction). It is not just a guide to bad forecasts, it is also about how to identify and extract what is valuable in any forecast. This benefits readers who are required to manage professional or personal situations that depend on correctly anticipating change. Whatever we want to achieve – help a company be more profitable – solve the world’s problems – develop their career – success depends on a good reading of the future. There are many guides to the future (predictions) but no guides to the guides. This book fills that gap. It helps readers assess predictions so they can make better judgments about the future for themselves and their organizations.
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.
read morePosted by Adam Gordon on Jul 9, 2008 in 2015, 2025, all, decision-making, failed predictions, forecast filtering, foresight tools & methods, Future Savvy, horizon scanning, leadership, managing uncertainty, Perils of Prediction, scenario planning, strategic foresight, strategic planning, systems dynamics, technology change, trend tracking
The book Future Savvy shows readers how to critically judge forecasts for themselves. These are the chapters that take the reader there:
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.
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