At Slatebox, we understand that making informed decisions is essential to the success of any project or business. That's why we developed the Assumption Grid, a powerful tool that helps you evaluate your assumptions and make better decisions. In this guide, we'll explain how to use the Assumption Grid in Slatebox to improve your decision making.
The Assumption Grid is a decision-making tool that helps you evaluate the level of risk and certainty associated with your assumptions. It's a simple grid with four quadrants, each representing a different level of risk and certainty. By using the Assumption Grid, you can evaluate your assumptions and make informed decisions based on accurate and relevant information.
To use the Assumption Grid in Slatebox, follow these steps:
Here is an example of what kinds of assumptions you can plot:
| Level of Risk | Level of Certainty | Example |
|---|---|---|
| Low | Low | Our social media campaign will result in increased engagement. |
| Low | High | Our product has a large market based on industry reports. |
| High | Low | Our new product feature will be well-received by customers. |
| High | High | Our partnership with a major influencer will significantly boost sales. |
The Assumption Grid works by breaking down your assumptions into four categories based on their level of risk and certainty. This allows you to evaluate each assumption and determine the best method for testing it. By using the Assumption Grid in Slatebox, you can ensure that your decisions are based on accurate and relevant information.
The four quadrants are:
Quadrant 1: Low Risk, Low Certainty
The first quadrant represents assumptions that have low risk and low certainty. These are assumptions that you can test quickly and easily with little to no cost or effort. To evaluate these assumptions, you can use low-cost or free tools like surveys, interviews, or A/B testing.
Quadrant 2: Low Risk, High Certainty
The second quadrant represents assumptions that have low risk but high certainty. These are assumptions that are well-supported by data or research and have a high degree of confidence. To evaluate these assumptions, you can use data analytics, market research, or other research-based methods.
Quadrant 3: High Risk, Low Certainty
The third quadrant represents assumptions that have high risk but low certainty. These are assumptions that require more research or testing to confirm and may have a higher cost associated with them. To evaluate these assumptions, you can use prototypes, simulations, or other testing methods that provide a higher degree of certainty.
Quadrant 4: High Risk, High Certainty
The fourth quadrant represents assumptions that have high risk and high certainty. These are assumptions that are critical to the success of a project or decision but have a high level of risk associated with them. To evaluate these assumptions, you can use rigorous testing methods like pilot programs, beta testing, or other high-risk, high-reward approaches.
The Assumption Grid is a valuable tool that can help you make better decisions and achieve greater success. By evaluating your assumptions and determining
