The C5 electric car and the art of getting the future less wrong than competitors do

Posted by Adam Gordon on Nov 19, 2009 in all, decision-making, emerging technologies, failed predictions, foresight tools & methods, Future Savvy, Perils of Prediction, scenario planning, strategic foresight, technology change

In a recent Times article ‘The future was never going to be the C5‘ actor-comedian Ben Millar offers a familiar criticism of foresight work. Inter alia he says: “For all our achievements in art, science, and technology, the human race has always been spectacularly bad at predicting the future. Literature is littered with shockingly wide-of-the-mark utopias, dystopias, shiny suits, flying saucers and whole meals contained in a single pill. As a child of the Seventies, I was taught that as an adult in a world run by machines my main challenge would be how to spend my endless hours of leisure time…”

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.

Poundstretcher’s lessons for the future, for 2025, for 2050, and beyond

Posted by Adam Gordon on Aug 4, 2009 in 2025, all, economy & finance, failed predictions, lifestyles & values, social change, technology change

In all the predictions of the future that I have ever read or heard, and all the scenarios I have been exposed to, it’s almost unheard of to see one that says “the squeezed middle class keeps their eye on a good deal, as they always have.”

I’m thinking about this as I see the Guardian today featuring a story about how “Poundland” has doubled it’s profits. Poundland is a copy-cat of the venerable US institution, the “dollar store,” where everything cost the same price, in this case £1.

Pic: Andrew Fox, The Guardian, August 4, 2009

The merchandising of these stores is not unsubtle. There are definite too-good-to-be-true loss leaders, but these more than offset by the many items that cost pennies wholesale. Fair enough. And recently reported doubling of profits is because more people are buying at these stores (downshifting) due to recessionarly squeeze and/or because of the current “sense of thrift” in the zeitgeist which makes pennywatching more “the done thing.”

But neither merchandising, nor consumer psychology is our primary concern here. From a foresight point of view, the point is that forecasts of 2010 that were around around a decade or two ago didn’t quite get around to saying anything about Poundstretcher leading a healthy economic life. It’s as unsexy as anything, compared to “peak oil” or advancing “singularity,” or nano-babble, and so on into the glorious future – or its polar alternative: crash & burn, soup kitchens, urban warlords rampaging, and so on.

But here we are coming to the end of the decade and a basic retailing gimmick for the squeezed middle-class consumer is well trafficked and very much part of the future. Yes, it’s success correlates with tougher times, but economic cycles will be with us repeatedly through the rest of the century and beyond.

This doesn’t mean there won’t be breakthroughs in technology or in consumer behavior. In fact, looking at the picture, one surely would not have got a pound for any amount of plain bottled water in a retail environment 20 years ago. Things do change. They just change slowly, or unevenly, against the gritty reality of savvy agregate choices made by a wary (global and growing) middle class.

Swine Flu and Google, and why the 1918 Flu Pandemic won’t happen this time

Posted by Adam Gordon on Apr 30, 2009 in all, forecast filtering, history

There’s an interesting Information Week article Google Tracking System Suggests Swine Flu Is Spreading posted yesterday (April 29) that investigates the possible predictive power of Googling (human search) activity, suggesting increased searching / monitoring of swine flu on Google could be predictive of rising levels of infection. Google says country-specific (Mexico) data for 19-25 April shows a spike in flu searches.

Pic: thisislondon.co.uk

Google introduced “Google Flu Trends” (US) in November as a way to visualize correlation between flu infections and flu-related searches. It maintains search levels provide early warning of flu spread because search data can be gathered and analyzed almost instantly, unlike traditional epidemiological reporting methods. (More on the goal of the project is in a post on swine flu on the official Google blog.)

The predictive power of Google spikes is hardly clear. Yes, a spike could suggest increased levels of infection. But it could be cause by media coverage and rising levels of pandemic concern.

Google predicts “no pandemic”

More broadly, however, the Google search phenomenon, and information saturation that goes with it is, I believe, highly predictive in epidemic situations. It predicts they are very unlikely. Generally, knowledge is power. Specifically deep and easily searchable public knowledge of where the epidemic is, and what to do to avoid it, and avoid spreading it, is a new condition in human history, one which in fact reliably predicts that no pandemic will happen. Yes, strains become more virulent and dangerous and even drug resistant, and yes, airlines transport it around the world in hours. But the power of knowledge in the labs and in the public at large is immense and ubiquitous in a way it never was before.

One of the debates in futures studies is how much and in what way to look at the past as a guide to the future. Paul Saffo says: look back at least as twice as far as you are trying forecast, and I agree with that. In thinking about a major modern global health epidemic our minds are in fact deeply conditioned by a 90-year-old event: the 1918 Influenza Pandemic that killed an estimated 50 million worldwide. In that epidemic there were particular conditions, not least four year of devastating war where more were lost to disease than fighting; associated drain on resistance and infrastructure; and forced mobiization of troops under poor conditions, that greatly facilitated the spread of the disease. Most importantly, ordinary people were operating in a knowledge vaccum that is unimaginable today.

This is not to say that we should not be vigilant and prepared. But the future that we most likely face is many-and-regular outbreaks like the swine flu, the avian flu, and so on, which we will move fairly quickly to contain. The dystopia of world pandemic is appealing to the health crisis community and its service providers, but the future will not be history (1918-1920) repeating itself.

Forecasting the future has its own archeology, and here is a good guide to it

Posted by Adam Gordon on Mar 10, 2009 in all, failed predictions, foresight tools & methods, history, Perils of Prediction, politics of the future, strategic foresight

One of the more alarming mistakes in foresight work is that forecasters don’t see themselves as operating within their own world view, and the preconceptions and priorities of their own time. In fact the very idea of foresight – why do it and how to do it – has changed quite markedly through human history. Knowledge of this historiography is of course important in assessing current forecasts. This is why Oona Strathern’s A Brief History of the Future (Robinson, London, 2007) is an important book.

One doesn’t start reading a “Brief History of” book in a series that includes A Brief History of the Birth of the Nazis and A Brief History of British Kings & Queens, without a certain trepidation. But, in fact, A Brief History of the Future is well-considered and well-written summing up of the characters and concerns that have shaped and continue to shape the future studies field.

Strathern, is a British journalist-turned-futurist, based in Vienna. One of the key attributes she brings is a journalist’s (and sub-editor’s) critical “don’t-bullshit-me” faculties, which is welcome in a field that is often short on common sense.

The book is hardly brief (at 300 pages) so there’s no sense that it’s a potted history. And it’s not compromised by what one – alas – expects of this kind of setup: pandering to all characters in positive or equal terms. In fact a key value of the book is its clear-headed and plucky judgment of who the key figures are (and who are not) and what their contributions have each been (vs what they might have thought they were). It is also unusually even-handed in balancing US and European inputs.

The book follows the obvious structure, starting with the oracles of Ancient Greece, Plato, moving through Leonardo de Vinci, and Thomas Malthus and so on through to the 19th century (Jules Verne, Karl Marx, etc.) and on to the present. In this Strathern argues for and operates with a wide definition of futures work – including in the dreamers, social reformers, and sci-fi writers in addition the more formal analysts and planners.

20th Century Weltanschauung
The book really hits its straps in the 20th century – in discussions of Aldous Huxley, H.G. Wells, George Orwell, Arthur C. Clarke, Herman Kahn, Buckminster Fuller, Alvin Toffler, Isaac Asimov, Margaret Mead and many lesser known figures. What is most interesting here is how the links between foresight approaches and the evolving broader existential and political “weltanschauung” of the century is knitted together, inserting “futurology” into the 20th century world of ideas at each point.

Although the book deals with institutions of foresight pretty well, the one angle I missed was the development of foresight education over the past 40 years. Part or full university degrees in foresight methods are an important part of the evolution of the field. Much has been learned in the debates over what and how and where to teach it. Ironically, the book – as intelligent a summary of the “future studies” field as you will find – would be an ideal text for an introductory course in such a curriculum.

Scenario planning orientation and methods interview

Posted 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.