Resquinorak – Research Methods and Scenario Analysis Guides
Practical frameworks, research methods and conceptual guides to help you build a more disciplined investment research process.
Understanding the research process
Investment research is not a single activity — it is a sequence of connected steps, each of which depends on the quality of the one before it. It begins with defining a precise question, moves through gathering and organising relevant information, proceeds to examining the assumptions embedded in your current thinking and concludes with a structured comparison of the scenarios that matter. Skipping steps or conflating them is the most common source of weak conclusions.
This section of the knowledge base is designed to help you understand each stage of that process clearly. Whether you are new to structured research or looking to identify where your existing approach has gaps, the material here provides a practical foundation. The goal is not to make research more complicated — it is to make it more reliable.
Working with market signals
A market signal is any piece of information that genuinely changes your assessment of a situation. The difficulty is that most information does not meet that standard — it confirms what you already believe, adds noise without adding meaning or reflects short-term movement rather than structural change. Developing the ability to distinguish between these categories is one of the most valuable skills in investment research.
This section covers the practical methods for evaluating new information: asking what would have to be true for this to matter, considering what the information does not say as well as what it does, and checking whether your response to it reflects genuine analysis or an emotional reaction to movement. These habits do not eliminate uncertainty, but they reduce the risk of acting on the wrong things.
Scenario analysis and assumption testing
Every investment view contains assumptions. Some are explicit and examined; most are implicit and unexamined. The purpose of scenario analysis is to make those assumptions visible, test them against the available evidence and understand which ones your conclusion is most sensitive to. A view that survives that process is genuinely stronger than one that has never been challenged.
This section provides frameworks for building useful scenario comparisons — ones that take each possibility seriously rather than constructing a single favoured outcome with a token alternative. It also covers the specific cognitive biases that make assumption testing difficult, including confirmation bias, anchoring and the tendency to treat familiar scenarios as more probable than unfamiliar ones simply because they are easier to imagine.
Decision discipline and independent thinking
The final stage of a research process is the decision itself — and this is where discipline matters most. The pressure to act, the discomfort of uncertainty and the pull of consensus opinion all create conditions in which well-reasoned analysis can be overridden by impulse. Understanding these pressures in advance is the most effective way to resist them when they arise.
This section addresses the practical habits that support better decision-making: documenting your reasoning before you act, distinguishing between what you know and what you are assuming, and building a consistent review process that lets you learn from past decisions without being distorted by hindsight. Independent thinking is not about being contrarian — it is about ensuring that your conclusions are genuinely yours, built on evidence you have examined rather than opinions you have absorbed.