Pattern languages have become all the rage. Why? Because they help codify best practices and provide a vocabulary to talk about those practices with others. A pattern language provides a conceptual framework for understanding a practice area, explaining it to others and improving performance. Patterns become tested, reusable pieces of knowledge that help people avoid the mistakes of others and increase their chance of success.
So why a pattern language for decision-making? Despite years of research and dozens of techniques in how to make good decisions, most decision-making is still ad-hoc, done by gut feel or with custom processes, with no documentation and little awareness of the best techniques to apply to a given decision. Certainly, some industries have excelled at certain types of decisions. Allocation decisions are well understood in financial services when trying to optimize a portfolio. But without a pattern language to talk about these decisions, it is difficult to share best practices across industries.
I aim to change that. By documenting, naming and classifying types of decisions, the situations surrounding those decisions and the types of analysis used to support those decisions, we can create a pattern language and decision-making framework that can help people learn, track and improve their decision-making.
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