Systemize your principles and how they will be implemented. If you have good principles that guide you from your values to your day-to-day decisions but you don’t have a systematic way of making sure they’re regularly applied, they’re not of much use. It’s essential to build your most important principles into habits and help others do so as well. Bridgewater’s tools and culture are designed to do just that.
Create great decision-making machines by thinking through the criteria you are using to make decisions while you are making them. Whenever I make an investment decision, I observe myself making it and think about the criteria I used. I ask myself how I would handle another one of those situations and write down my principles for doing so. Then I turn them into algorithms. I am now doing the same for management and I have gotten in the habit of doing it for all my decisions. Algorithms are principles in action on a continuous basis. I believe that systemized, evidence-based decision-making will radically improve the quality of management. Human managers process information spontaneously using poorly thought-out criteria and are unproductively affected by their emotional biases. These all lead to suboptimal decisions. Imagine what it would be like to have a machine that processes high-quality data using high-quality decision-making principles/criteria. Like the GPS in your car, it would be invaluable, whether you follow all of its suggestions or not. I believe that such tools will be essential in the future, and as I write these words, I am a short time away from getting a prototype online.
Remember that a good plan should resemble a movie script. The more vividly you can visualize how the scenario you create will play out, the more likely it is to happen as you plan. Visualize who will do what when and the result they’ll produce. This is your mental map of your machine. Recognize that some people are better or worse at visualization. Accurately assess your own abilities and those of others so you can use the most capable people to create your plans.
Put yourself in the position of pain for a while so that you gain a richer understanding of what you’re designing for. Either literally or vicariously (through reading reports, job descriptions, etc.), temporarily insert yourself into the workflow of the area you’re looking at to gain a better understanding of what it is that you are dealing with. As you design, you’ll be able to apply what you’ve learned, and revise the machine appropriately as a result.
Visualize alternative machines and their outcomes, and then choose. A good designer is able to visualize the machine and its outcomes in various iterations. First they imagine how Harry, Larry, and Sally can operate in various ways with various tools and different incentives and penalties; then they replace Harry with George, and so on, thinking through what the products and people and finances would look like month by month (or quarter by quarter) under each scenario. Then they choose.
Consider second and third-order consequences, not just first-order ones. The outcome you get as a first-order consequence might be desirable, while the second or third-order consequences could be the opposite. So focusing solely on first-order consequences, which people tend to do, can lead to bad decision-making. For example, if you asked me if I’d like to not have rainy days, I probably would say yes if I didn’t consider the second and third-order consequences.
Use standing meetings to help your organization run like a Swiss clock. Regularly scheduled meetings add to overall efficiency by ensuring that important interactions and to-do’s aren’t overlooked, eliminating the need for inefficient coordination, and improving operations (because repetition leads to refinement). It pays to have standardized meeting agendas that ask the same feedback questions in each meeting (such as how effective the meeting was) and nonstandard meeting agendas that include things done infrequently (such as quarterly budget reviews).
Remember that a good machine takes into account the fact that people are imperfect. Design in such a way that you produce good results even when people make mistakes.