Let's summarize
- A/B testing is a good insurance tactic against critical defects in the product.
- Before you run the experiment, you need to decide on which metrics to use.
- There's no guarantee that you will get a viable result in the process of hypothesis testing.
- Make it a rule to run hypotheses through A/B, but also understand that it's better to run them wisely.
Additional useful materials
