What can be used to randomly select between two decision components?

Using a Champion Challenger strategy is an effective way to randomly select between two decision components, as this method is designed to evaluate the performance of multiple alternatives, determining which one yields better results over time.

In this context, the Champion refers to the existing decision component that is known to be performing well, while the Challenger represents a new or modified version that is being tested for potential improvement. By implementing this methodology, organizations can conduct comparative analyses to observe how different approaches perform in real-world scenarios.

This approach not only enables the random selection between decision components but also fosters an environment of continuous improvement by systematically measuring and comparing performance outcomes. It allows for data-driven decisions regarding which strategy to continue using, thereby optimizing decision-making processes over time.

In contrast, options like Filter, Switch, and Control do not serve the same purpose of directly comparing the efficacy of two competing decision elements within a randomized framework. Filters are primarily used to include or exclude data based on specific conditions, Switch is typically employed to route decisions based on defined logic rather than random selection, and Control is a broader term that could refer to various governance methodologies rather than a specific technique for decision-making comparison.