![]() I find it helpful to list out any decision-related constraints ahead of time so that I can consider them while I’m trying to figure out what data I need (and again when making the decision). Knowing your constraints will also help you to determine what data will be most valuable to you. The best and most practical decisions are made by combining data with additional information and context, including timing and business constraints, so it’s important to consider these ahead of time as well. Most decisions aren’t made on data alone. ![]() Step 2: Define any additional relevant information and constraints What is your goal in making this decision? What does a ‘good’ outcome look like? Alternatively, are there any outcomes that are unacceptable or must be avoided?īy listing out your goal and important positive or negative outcomes, it should be clear what decision you’ll be making and what you’ll be optimizing for or against.What are your possible choices or options?.What is the decision you’d like to make?.You’ll know that you’ve properly defined your decision when you can answer these questions: A clear definition of the decision can also serve as a reference to save time and deliberation when you’re ready to start looking at data. It sounds simple, but before you think about turning to data to make a decision, it is important to specifically define the decision you’d like to make.ĭefining the decision (including your goals, the available choices, and possible outcomes) upfront provides clarity that is useful for determining how data can help. To help you get started, I’m going to share the five-step process that I follow to make better decisions with data: Step 1: Define the decision to be made Figuring out the nuts and bolts of data-informed decision-making – including how and when to use data, as well as what data to use – can be tricky and unintuitive, but it’s an important skill and one that can be learned. Data can be really helpful in the decision-making process to provide context and reduce uncertainty.
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