Prioritize Your Experiments
When you've accumulated a number of experiment ideas, it can be challenging to decide which to start with. Your first inclination might be to start with something small and easy to implement, but that may not always be the best route; there may be something on your list that would be better to try first. Knowing how to prioritize your experiments will help you create an efficient backlog or roadmap that will give you the best experience with optimization.
In this course, you'll answer the following three questions:
- What are the deciding factors that influence which hypotheses should be tested first?
- How can you reduce the guesswork for prioritizing experiments?
- What resources can help or hinder your capacity to experiment on a particular hypothesis?
Learn how to set up your Optimizely X account for Personalization and build your first campaign!
Once you've interpreted your results, why not share them with others to invest in long-term success for your program?
How can you make more impactful changes to ensure that your next experiment will be statistically significant?
A losing variation can sometimes feel disheartening, but take comfort in knowing you've tapped into something your visitors care about!