Estimated reading time: 4 minutes
The key to creating a culture of experimentation is to make it as simple as possible for developers.
Driving engineering efficiency, enabling product innovation, and leveraging machine learning on a product all have one thing in common – the better strategies you have to measure the effect of changes on your product, the better your chances of success.
For example, without a proper experimentation strategy, it’s harder to understand the impact machine learning algorithms have on user, business, and product metrics. Similarly, if a product redesign is in the works – it’s better to evaluate different versions on a subset of users before potentially launching a redesign that degrades the entire product experience.
