From Trends to Decisions: How Foresight Helps Companies to be Prepared Before the Future Arrives

Executives today are confronted with a paradox: there is more information about the future than ever before, yet it is increasingly difficult to distinguish what really matters from what merely attracts attention. Every week brings new reports on artificial intelligence, consumer shifts, geopolitical risks, sustainability, regulation or emerging technologies. The challenge is therefore not to “know more trends”. It is to recognise which changes could alter the strategic environment of the organisation. And to turn that knowledge into decisions.

In my experience, the first distinction to make is between a signal, a trend and a strategic implication. A signal is an indication that something may be changing – the goal is to identify it as early as possible. A trend is a pattern that becomes visible across time and indicates a direction of change. A strategic implication emerges when that change can materially affect a company’s assumptions about customers, competition, economics, regulation or capabilities. Of course, a trend can be real without being strategically important, while a weak signal can be strategically important precisely because it may reveal a discontinuity before it becomes a trend.

Executives should therefore assess trends through a small number of disciplined questions: What could this change affect? How persistent could it be? What other developments could reinforce it? Which of our current assumptions would it challenge? And how much time would we need to respond? A useful trend is not simply one that looks large today. It is one that could change the range of plausible futures relevant to the business. Strategic foresight is valuable precisely because it is not about predicting a single future, but about exploring multiple plausible futures and preparing for them.

This also means that trend management should be confined to a strategy department or an annual market-intelligence exercise. Organisations need a distributed sensing system. Product managers, sales teams, engineers, customer-service staff, procurement specialists and partners often encounter emerging signals before they reach senior management. At the same time, it is also essential to deliberately look beyond the boundaries of the industry: demographic changes, new social practices, regulatory developments, scientific research, changes in infrastructure, or innovations in adjacent sectors may ultimately have greater strategic significance than developments among direct competitors.

I recommend combining these perspectives through a structured horizon-scanning process: collect signals broadly, interpret them across disciplines, cluster them into emerging patterns, and then test their possible strategic implications. Horizon scanning is explicitly intended to detect emerging evidence and early signals of change. Scenario planning then helps explore what these changes could mean under different future conditions.

The biggest weakness I see in companies is that they often stop after the scanning stage. They produce attractive trend reports, but the information does not enter the mechanisms through which resources are allocated and decisions are made. Another common mistake is to extrapolate the present linearly: “this trend is growing, therefore it will continue to grow.” A third is the confirmation bias: organisations notice signals that reinforce the strategy and priorities they already prefer and discount signals that create uncomfortable implications.

Senior management and boards therefore need to ask different questions. Instead of asking, “What is the forecast?”, they should ask, “Which assumptions are we making, what could invalidate them, and what evidence would tell us that this is happening?” Product managers should similarly move beyond feature-oriented thinking and examine how customer needs, technologies, business models and ecosystems may interact. The objective is not to make every decision more sophisticated. It is to make important decisions more robust under uncertainty.

This is where scenarios become powerful. Developing scenarios for a company should begin with a clear strategic focal question. For example, “What could our market and competitive environment look like over the next five to ten years?” We then identify the major drivers of change, distinguish relatively predictable trends from genuine uncertainties, and examine the interactions between them. The aim is not only to create a set of attractive stories. It is to construct a small set of internally coherent, challenging and plausible futures that expose different strategic conditions.

A good scenario exercise then moves rapidly from description to implications and options. What happens to our business model in each scenario? Which investments become more or less attractive? Which capabilities become critical? Which products become vulnerable? Which partnerships, technologies, channels or organisational structures would gain importance? Scenario planning is most useful when it is connected directly to strategy and decision-making rather than treated as a purely intellectual exercise. That connection is also central to the way we frame scenarios and foresight work at NOVA SBE: exploring uncertainty, stress-testing strategic choices, and linking scenarios to concrete options and decisions.

Scenario analysis can consequently improve the quality and future-readiness of a wide range of decisions: major capital investments, technology choices, product-platform architecture, capacity expansion, market entry, M&A, supply-chain design, talent and capability development, and the timing of innovation bets, for instance. It is particularly valuable to stress-test decisions that are expensive to reverse or whose consequences will unfold over a long period. A scenario perspective can reveal that the best strategy is not necessarily the one that performs exceptionally well in one future, but the one that remains viable across several plausible futures. Which perhaps will imply a few  “smaller options” that can be scaled when the environment becomes clearer.

Finally, a scenario exercise should not end with a workshop and a set of scenarios and strategies. Each scenario should be accompanied by a set of signposts and early-warning indicators: observable developments that would be more consistent with the development of a specific scenario. These might include changes in customer behaviour, regulatory decisions, price trajectories, adoption rates, investment flows, competitor moves or technological performance. For each indicator, management should define what constitutes a weak, moderate or strong signal, who monitors it, how often it is reviewed, and which strategic assumption it informs.

This creates a practical early-warning system. Instead of saying, “We believe Scenario B is becoming more likely,” management can say, “Five of our seven predefined indicators are now moving in the direction associated with Scenario B, including two that have crossed our action thresholds.” The important point is that the response should also be tested in advance. A threshold might trigger a strategy review, a change in investment priorities, an acceleration of product development, the building of a particular capability, or simply increased monitoring.

In other words, foresight and scenarios should not produce a better prophecy. It should produce a better organisation: one that notices change earlier, challenges its assumptions more systematically, prepares options before they are urgently needed, and knows what evidence should trigger action.

The future remains uncertain. But uncertainty does not mean that companies must wait until certainty arrives (that will not happen, anyway). The real strategic advantage lies in becoming better at recognising change, imagining its consequences, and acting while there is still room to choose.

Gesamtübersicht

Entscheidend | Praxis