Future Savvy: Quality in Foresight

I was struck by this picture

which is produced by a group called Squint/Opera, as part of a set of images of how London population would adapt to raised sea levels. The images, set in the year 2090, are on exhibition at the Medcalf Gallery in Clerkenwell, and the full set can be found here.

The “Flooded London 2090″ images are, of course, a scenario of the future. They evoke a time long after the impact of global warming / a rising sea has past. People have adapted and London is a tranquil utopia. It is not all bad – the rat race gone – swept away with other forms of current (2008) worldly obsessions in a kind of Noah’s flood. The world has become a slower, less complicated place.

As a piece of futures work there are various things to say. First of course, this is a scenario not a prediction. Nobody can predict 2090. Yet, as a scenario, with that intrinsic license to explore the margins of plausibility, it fabulously fulfils one of the primary functions of scenarios: to evoke a mental and possibly even an emotional response. Most scenarios – for example about global warming – are backed up by data and spreadsheets and citations (often necessary and correct) but these images tell the story in a somehow more direct and therefore compelling way, and the old adage a picture is worth 1000 words was never more apt. As all classic scenario analysts, from Pierre Wack to Peter Schwartz to … etc, say: a good scenario should provide a gentle jolt to management – forcing them to consider unexpected events and outcomes and prepare themselves mentally and practically to respond, and these images do that.

Scenarios: the artistic function
Now the question I pose myself – and anyone out there reading – is what is the relationship between scenario’s and art? Is the picture of the future that jolts – whether in a written narrative form or by pictures or film – not jolting in the same way as art does and for the same reason. Isn’t this the classic defamiliarization function of art (possibly mixed with social critique. Here of course it is not merely a warming about global warming that is being communicated, but also commentary about the pace of life, stress, time-crunch, and how this may not be so in the future. Everyone sees the future as more, faster, complexity. But maybe it is not.) Anyway, these images are a scenarios, and they are art, and all good scenarios should work in part “artistically” to defamiliarize the world as art does. (For background on Schklovsky and defamiliarization in art see here)

Squint/Opera is an interestingly multi-disciplinary group. It is a film and media studio that makes visualisations about the built environment, in their terms: “combining humour and narration with imaginative design, innovative visual effects and illustrative techniques.” A scenario firm, in other words, with apologies to the scenario planning traditionalists.

Tweet This Post

Being future savvy – developing quality foresight – starts with going out into the world and looking for clues to change. The lingo for this is “horizon scanning,” or “environmental scanning,” and it’s commonly taken to mean looking and listening out beyond our common patch – to the margins where clues to the future may exist currently, in the form of “weak signals”. (It includes embarking on learning journeys, as discussed in the previous post). If we find them and decode them right, that gives us a competitive jump on planning for the future.

The common view of horizon scanning that it is about seeing what’s “out there” in the world. We look for events and signs and changes in behavior or technology and so on, that suggest the beginning of a larger trend. So far, so good. Many institutions, organizations, and companies practice this, or subcontract this service. But – and this is far less commonly practiced or understood – good scanning should focus equally at what’s going on in people’s heads: their ideas, values, and motivations, because these will determine the choices they make, and these choices aggregated over the population and over time will determine the future. (Internal perceptions and external events are linked of course.)

We can’t look into peoples’ heads. But we can look at what is going into their heads: exposing ourselves to the knowledge and ideas people are getting, or choosing. For some analysts this appears a very “low-brow” experience, too insulting of their intelligence to be worth doing. But there can be no adequate future scanning without it.

Fred
I’m prompted into this discussion by a post on the Foresight Culture blog which flags the importance of scanning inputs such as Fred YouTube videos. As posted: “Fred is the YouTube character of a Nebraska teenager, Lucas Cruikshank. I came across his videos because they kept turning up under Most Viewed or Most Popular on Youtube. Most viewed doesn’t make the content of a video valid or even viewable, but in my view, it makes it important to know about. His 19 videos have a combined view total of over 4 million, and Fred’s YouTube channel has 290,762 subscribers, the 4th highest total on YouTube…. Good scanning includes knowing what the mass of people are watching and liking. That means tv shows you might not like or even approve of… The Fred videos are interesting because, even though they are silly satire, they may represent a modern teen’s ideas about life, family, and society.”
View Fred’s video channel

Tweet This Post

More on the Media Futures Conference – having yesterday got sidetracked into pushing back at misconceptions about citizen journalism (based on lousy forecast filtering) – now I’m actually getting to what I intended to talk about…

Early in the day, as a warmup I think (but for me this was the juice) there was a “Research in the Real World” section. It started with a presentation by Alex McKie reporting on a tour she made across the UK, where she interviewed people asking them what their “three wishes for the future” were. This was followed by Gill Wildman and Nick Durrant of Plot, who presented interviews where consumers were asked where and how they used media, and what they wanted from it.

The research is anthropological, no more or less than a customized field trip: going out, seeing what people do, and how they live, and what’s important and meaningful to them – and then thinking how one’s own area of interest (e.g. product) fits into this, or could fit into it in the future. That gives some clues as to what people will adopt and/or buy – what the market will “pull”.

The futures field lingo for this type of work is “a learning journey,” a process usually omitted in the helter-skelter of tracking new technology capabilities and other apparently more profitable lines of research. There are some good writeups of future learning journeys: one that comes to mind is “The Moen Story” Johnston, R. & Douglas Bate, J., The Power of Strategy Innovation, Amacom Press, 2003, Chapter 5. Another is “Conduct Reconnaissance into the Future,” Sull, D & Wang Y, Made in China, Chapter 3, HBS Press, 2005. I recently saw that Christus CEO Tom Royer said his medical institution had conducted learning journeys (to Canada and India) as part of its Futures Task Force II scenario building process.

Tuning in
No question this type of research is often tedious. You have everyday people umming and aahing inarticulately and often unimaginatively about their preferences and problems, and hopes for the future. In fact the conference audience were impatient about having been presented with the interviews in raw form. But it is precisely in the careful listening that much about the real future is revealed. It is a vital ingredient in thinking about the future, and reigning in poor forecasts.

In the event, the consumers (in Plot’s terms “the people formerly known as … users”) were revealed as media wise, but often their savvy to screen out the information firehose. Although media types were thinking about the cutting edge, real people were articulating the need to be informed in a way they could manage – not too much or too little – and to be able to trust the news source, and be exposed to stories that move or inspire them.

Learning journeys are a very dependable way to think about the future by checking our industry insider preferences against the preferences of real people out there. Any prediction that makes assumptions about the market without this perspective is heading for failure. But there is a wrinkle, and it is this: market research – even this deep market field trip research which is much better than focus groups – is seldom enough to adequately anticipate the next new thing. It tells us what lab fantasies or executive business model fantasies will not fly. But it doesn’t help us make the jump either. Experience is that consumers want what they already have, maybe a bit better, maybe a bit cheaper. Market research did not see the Walkman. And as as Hal Sperling of Chrysler said: “In all the time we spent developing the Minivan, not once did we have a soccer mom come and ask us for one.”

Tweet This Post

I was at the recent Media Futures Conference 2008 in London where a lively cross-section of delegates spent their time – as to be expected, this is the topic-du-jour – pondering the impact of social networking-based “citizen journalism” on the traditional media. In the era where everyone can “publish” all the time, what is the role and purpose of, for example, the BBC? As major news sites are scrambling to allow reader’s views, or eyewitness pictures and so forth, do they become dissolved in a sea of chat, blog, and tweet?

I don’t think so. There are many new communication modes to explore as established media outlets get to grips with the micro-publishing and social networking technological possibilities and consumer preferences, but the fear that traditional journalism or traditional media is “under threat” is, to me, overblown. Yes, anyone can publish news and views anytime, but most strive to put their 2c worth on the media sites associated with the major newspaper and electronic media brands. Why? To benefit from (a) the visibility, that is, presence of many readers, and (b) the editorial quality – the brand promise – of the established media outlet. A submitted picture that is seen, for example, on The Guardian site, is worth a thousand pictures on mynonameblog.com. This is all-the-more true if the publication editors flag readers attention to the citizen journo contribution: giving it an editorial stamp of approval.

The power of hubbing has been talked about a lot, not least by management guru Michael Porter, and there can be no doubting the reinforcing feedback loop at work in hubs. In this case, where more readers are that’s where more writer-contributors want to be, which makes the hub more valuable to readers, etc. What’s most valuable to readers in a world of a billion potential journalists? Little doubt it is what has always been valuable to readers, that is, the activities of editors providing oversight and quality control: filtering, choosing, framing and balancing information and viewpoints. Any content that is not subject to oversight is, well, just someone yapping.

From origination to “hubbing”
What will surely happen to the main media outlets is that the percentage of own-originated content will go down as the percentage of publicly contributed content goes up. They will have to adjust their game to include wider information quality management. In addition to providing what they always have (quality and timely and relevant content) they will need to be able to function less as own-content originators and more as hubs – providing editorial-quality oversight and therefore attracting many readers in the virtuous-cycle spoken of above. But they will still be in business, and still in essentially the same business of information collection, editorial processing and oversight.

The citizen journalist may effect what the media outlets says and does – for example by providing evidence that must be included in a story – but this does not change the balance of power. The value of the editorial oversight and synthesis is higher than ever. This is what branded media providers offer and the citizen journalist cannot. The principle of anticipating the future here is this: where a service provides a value, the service-provider will continue to exist into the future. Nothing has changed in the value of editorial oversight, in fact, it is more valuable than ever. That’s why major media outlets will be part of the future.

This is not to say the current major media brands will survive – they may well miss or mismanage the transition to information quality hub function – and fold, as brands or as companies, as new ones emerge. The general news brands may also, over time give way to narrower topic niche brands. But the concept of a centralized quality-enforcing media hub is not dissolving into citizen yapping any time soon.

Tweet This Post

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.)

Tweet This Post

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.

Tweet This Post

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.

Tweet This Post