How To Experiment With Systems | 07 Jun 2020
When faced with the design of systems, there are many things that can go wrong. The best tool in your kit when designing for a systemic problem is experimentation. As usual, by releasing things in bits and pieces and learning from small, local interactions, you can gather a lot of data to inform iteration and deployment at scale. But systems are weird. You can’t really experiment with them all at once, and sometimes experimenting with them introduces new constraints and challenges that are hard to get around.