Ideas to sharpen your research — Cadrivolna

Ideas to sharpen your research

Most investors, whether they manage a small personal portfolio or a more substantial collection of holdings, tend to arrive at a view about a company or sector and then build a single narrative around it. That narrative gets labelled the base case, and from that point forward it quietly shapes every piece of evidence they encounter. Information that supports the view feels confirmatory; information that contradicts it feels like noise. The difficulty is not that having a base case is wrong — it is that a single scenario almost always reflects what you already believe rather than genuinely testing whether your belief is justified. Scenario planning, done properly, is not about forecasting multiple futures and picking the most likely one. It is about constructing genuinely distinct stories, each of which is internally coherent, and then asking yourself what the world would need to look like for each story to come true. When you do that honestly, you often discover that your base case rests on a narrower set of conditions than you had assumed.

The first practical step is to separate your scenarios by their underlying logic rather than simply by degree. A common mistake is to build a base case, then add an optimistic version where everything goes slightly better and a pessimistic version where everything goes slightly worse. These are not really distinct scenarios — they are the same story told at different volumes. Genuinely distinct scenarios require different causal structures. In one scenario, a business might succeed because consumer behaviour shifts in a particular direction; in another, it might succeed because a competitor stumbles; in a third, the entire market dynamic might change in a way that makes your original thesis irrelevant. Each of these requires different conditions to hold, different signals to emerge, and different timescales to unfold. When you force yourself to articulate those conditions explicitly — rather than leaving them as vague background assumptions — you begin to see which parts of your thinking are doing real analytical work and which parts are simply filling in the gaps with optimism.

Once you have built two or three structurally distinct scenarios, the most useful thing you can do is compare them not by asking which is most likely but by asking which conditions are shared across all of them. If a particular assumption appears in every scenario you have constructed — if your thesis only holds regardless of the path taken — that assumption deserves far more scrutiny than anything else in your analysis. Conversely, if a scenario depends on a very specific chain of events that must unfold in a particular sequence, it is worth asking whether you are weighting it appropriately in your thinking. This kind of comparison also helps you identify what researchers sometimes call the load-bearing assumptions in an argument: the ones that, if removed, would cause the entire structure to collapse. Identifying those assumptions does not tell you whether they are correct, but it does tell you where to direct your attention when new information arrives, and it gives you a clearer basis for deciding when your view should genuinely change.

The final and perhaps most underappreciated step is to revisit your scenarios periodically and ask whether the conditions you specified are actually materialising, partially materialising, or quietly failing to appear at all. Many investors update their views in response to price movements or headlines rather than in response to the underlying conditions their thesis required. If your scenario assumed that a particular market would consolidate, and it has not consolidated, that is meaningful — regardless of what the share price has done in the meantime. Keeping a simple written record of the conditions each scenario requires, and checking those conditions against what you observe over time, turns scenario planning from a one-off exercise into a genuine discipline. It also makes it considerably harder to convince yourself that your original thesis is intact when the evidence suggests otherwise. The goal is not to be right about the future — no analytical framework can guarantee that — but to understand, as clearly as possible, what your view is actually depending on.