Architecture preempts the experiment

1. 1Design a high-level architecture for your project to guide experimentation
2. 2Identify key components and interfaces to test and validate
3. 3Develop a minimal viable product (MVP) to test core assumptions
4. 4Iterate and refine the architecture based on experimental results
5. 5Use architecture to preempt and prioritize experiments, reducing unnecessary testing

Developers, data scientists, and product managers can benefit from understanding how architecture informs experimentation, enabling more effective testing and validation of ideas

💡 A well-designed architecture can focus and optimize experimentation, leading to more efficient and effective development

💡 Architecture guides experimentation: design, test, and refine for better outcomes