It is easy to imagine that the organization with the most knowledge is also the one best prepared for the future. That is why we subscribe to newsletters, follow reports, read trend analyses, and fill our digital feeds with information. Yet, an organization that knows everything happening around it can still be completely unprepared when a significant change occurs. The problem is that information does not automatically become knowledge, and knowledge does not automatically become insight.
Imagine a radar operator sitting in front of a screen where hundreds of dots are moving. Most are of no interest. Some are aircraft, others are birds, weather phenomena, or interference. A single dot means nothing. But if a dot reappears, changes direction, and begins to move in a pattern resembling something seen before, it starts to take on significance. The radar has not improved simply because it displays more dots; what matters is the ability to determine which dots are worth tracking.
Monitoring the external environment works the same way. The real question is not how much information we can gather, but whether we can transform the noise of information into signals, those signals into insights, and those insights into action.
Information is not, in itself, a reason to act
Information is what surrounds us. A new report is published, a company launches a product, a new law is debated, a behavioral trend emerges, or a technology becomes cheaper. All of this may be relevant, but relevance is not the same as significance.
Information is the raw material. It tells us that something has happened, is happening, or is claimed to be possible. But it does not automatically tell us what that means for us.
This is where many organizations get stuck. They build increasingly sophisticated systems for gathering information but devote less effort to developing the ability to interpret it. The result is an abundance of information but a poverty of strategy. You could almost say that information acts like a vast ocean. The problem isn’t a lack of water; the problem is knowing where to sail.
Effective environmental scanning therefore requires selectivity. It requires the courage to acknowledge that most of what we see isn’t important right now. That doesn’t mean the information is worthless—it might become important later—but if everything is treated as important, nothing truly is.
A signal is something that begins to appear on the radar
A signal differs from mere information. It is an observation that catches our attention because it might herald a change. It could be a behavior adopted by only a few people, a new technology that doesn’t yet work very well, or a regulatory shift that hasn’t yet had major consequences.
A signal doesn’t necessarily mean a major change is coming. That is precisely what makes the work challenging.
A signal is rather like a blip on a radar screen: it is worth tracking, but it is too early to draw sweeping conclusions. This is where curiosity needs to take over from the desire for certainty.
The classic saying: “once is an event, twice is a coincidence, three times is a pattern”—captures something important, even if reality is naturally more complex. Three observations don’t prove a trend exists, but the repetition may be enough to prompt us to investigate what is happening.
Environmental scanning, then, is not about quickly explaining every observation; it is also about knowing which observations warrant further attention.
Insight begins only when the question changes
Insight emerges when information and signals begin to alter our understanding of the situation. That is why insight is distinct from both information and signals. A signal essentially says: “This is happening.”
An insight says: “If this continues, or if we view this differently, we might need to rethink our approach.”
Above all, a genuine strategic insight can lead to action.
A report might contain a hundred pages of information yet yield no insight at all. Conversely, a single sentence can transform a management team’s perspective on their business and prompt them to start experimenting in a new way.
An insight, therefore, need not be larger than the information itself; it can be much smaller. Yet, it changes what we see. It is much like looking at an image where you initially see only a face, only to suddenly discover that the picture depicts something else entirely. The information was there all along; what changed was our ability to perceive the relationship between the parts.
Scanning information requires the power of imagination
This is where the TAIDA framework becomes relevant. TAIDA stands for Tracking, Analysing, Imaging, Deciding, and Acting, and serves as a framework for strategic foresight. “Tracking” involves monitoring changes and signs of potential opportunities and threats. “Analysing” entails understanding consequences and possible future scenarios. “Imaging” is about envisioning possible and desirable futures. This is followed by “Deciding” and “Acting,” stages where the organization makes choices and begins to act.
It is particularly interesting that Imaging sits at the heart of the process.
It is easy to understand why Tracking and Analysis attract so much attention. We want to gather facts and analyze them because it feels rational and safe. Yet, there is a risk involved. If we only analyze what is already visible, we may become very skilled at understanding the past.
Imaging opens a different door. It is about envisioning possibilities and desirable futures. This is where human creativity becomes crucial. We can track events and analyze their implications, but someone must also be able to envision what might emerge.
Imaging is the difference between reactive and proactive scanning
Reactive environmental scanning essentially waits for the future to become clear enough to describe. Consequently, the organization discovers a change only after it has already become visible to many others. The information is easier to verify, and it is simpler to argue that action is required.
However, the price of this security can be high. By the time everyone sees the change, the competitive advantage has often diminished.
Proactive environmental scanning seeks to understand what small signals might evolve into before the trend becomes obvious. This does not require the organization to predict the future; rather, it requires cultivating the ability to envision multiple possible futures.
Future-oriented work is therefore not about guessing correctly. It is about enhancing the organization’s capacity to detect change, envision consequences, and be prepared to act when the situation demands it. Imaging is thus not merely a soft or decorative aspect of strategy work; it is a creative processing phase that helps the organization make sense of what is not yet fully formed. Not All Ideas Need to Be Fully Developed
When working with future opportunities, we do not need to insist that every idea be at the same stage of maturity. On the contrary, there is strength in maintaining multiple ideas at different stages of development simultaneously.
Some ideas may be in their infancy, based merely on a faint signal or an unusual observation. Rather than treating them as finished initiatives, we should allow them to exist as seeds. Other ideas may be gaining momentum; here, various signals begin to coalesce, making it possible to envision a direction for development. At this stage, the organization can begin to experiment and learn. Finally, there are mature ideas—where the change is so evident that others have already begun to act.
It is much like a garden. If every plant had to be ready for harvest, one would only grow what is already proven to work. An innovation-oriented organization needs a mix of seeds, seedlings, and trees. This is not inefficiency; it is a portfolio of future opportunities.
Moving from Trend to Action: the Can, Should, and Want framework
Identifying an interesting trend does not automatically mean we should act on it. This is where the concepts of Can, Should, and Want prove useful.
Should relates to external demands and developments: What must we address, and what changes are on the horizon? Want concerns direction: What do we aim to achieve, and what kind of future do we wish to help create? Can focuses on internal capability: What do we actually have the resources, skills, and opportunities to do?
This same line of reasoning applies to strategic foresight, where external changes are linked to what the organization wants to do and what it is actually capable of doing. Thus, Can, Should, and Want provide a simple framework for distinguishing between an interesting trend and one that the organization truly needs to act upon. A change may be highly significant yet lie far beyond our sphere of influence. Another might be strategically sound but require capabilities we do not yet possess. A third could align perfectly with our capacity and ambition but hold little relevance in the wider world. It is only when these perspectives converge that a potentially strategic opportunity emerges.
A method for moving from noise to action
- Start by gathering information without rushing to interpret its meaning.
Look for changes, anomalies, new behaviors, technologies, and things people are starting to do differently than before. Next, the information must be sorted into signals. Ask which observations recur, which originate from independent sources, and which actually deviate from our previous assumptions. - The next step is analysis.
Try to understand the underlying causes of the signal and the potential consequences if it were to intensify. Move from signals to insights. It is helpful to construct multiple possible scenarios. The goal of the analysis is not to eliminate uncertainty, but to make it intelligible. - Then comes the step most easily overlooked: Imaging.
Do not simply ask, “What will happen?” Ask, “What could happen if this becomes much larger than we anticipate?” and “What would the world look like if this small signal actually changed the game?” This is Imaging, a stage where creativity comes into play. - Only then should the organization ask what it wants to do and what it is capable of doing.
Here, the framework of Can, Should, and Want can help distinguish between what is interesting and what is strategically relevant. Finally, the insight must be linked to a concrete next step. This could be an experiment, an in-depth analysis, a customer conversation, a prototype, or a strategic discussion. If nothing changes following the environmental analysis, the work has likely stopped at the information stage. This is where we move to action.
Perhaps the most important question isn’t what is happening…
The more information we receive, the greater the need for human interpretation. AI can help us find patterns in vast amounts of material. It can summarize, compare, and sort. It can make tracking and parts of the analysis process much more powerful. Yet the strategic question remains: What does this mean for the future we want to create?
That is where imaging becomes so important.
Imagining something that does not yet exist is not the same as predicting the future. Rather, it involves creating a mental model of what might be possible. From there, we can choose which futures to explore, which experiments to conduct, and which capabilities we need to build.
This is also the point where environmental scanning transitions into innovation. Those who merely monitor the world try to understand what is coming. Those who work proactively try to understand what might come, what significance it could hold, and how their organization wishes to relate to it.
And those who truly work strategically go a step further. They do not simply ask, “What future is coming our way?” They also ask:
“What future can we help create?”
That is where information ceases to be noise and begins to provide direction.
