Post by account_disabled on Jan 23, 2024 10:29:48 GMT
Resources as possible, as quickly as possible, with the greatest possible result The implementation will come later, which we will then track with the Status tag. The implementation requires a time frame say weeks. Preferably in such a way that they do not influence each other. Such a test idea summary document looks roughly like this: Funnel optimization You can also find the sample here: editgid= The first column contains the funnel stage, then the name of the idea Idea and its short description Short Description. Then come the other elements gain, money, man hours, people, time to take effect and potential impact, based on which you can rank.
On, Sean Ellis summarizes very nicely what high tempo Industry Email List testing is and how it should be used : high-tempo-testing-revives-growthhackers-com-growth It is worth listing - ideas here, and then selecting the most promising ones for implementation. And when these tests are completed, they must also be evaluated. Of course, there are times when a test is ineffective. In fact, in most cases they are. If - out of tests come in, it is considered a good result. This is true for us too. We have already spent several days and weeks on optimizations that had no effect. However, the - that worked could be further refined. And these typically make up for the many failed attempts.
And if we have reached the end of a testing cycle, then we can start the process from the beginning. Again, we collect our best ideas, rank them, implement them, evaluate them, and start again. Two things must be taken care of: The goals of the tests should fit into the company's goals. If the monetization needs to be fixed, for example, don't pour free users into the system with the help of - tests. Let's run only as many tests as make sense. If something requires - weeks of development, but its potential effect is only minimal, then think twice about whether it makes sense to start at that time. Over time, of course, as we collect more and more data about the use of the app, we will see how users can be monetized.
On, Sean Ellis summarizes very nicely what high tempo Industry Email List testing is and how it should be used : high-tempo-testing-revives-growthhackers-com-growth It is worth listing - ideas here, and then selecting the most promising ones for implementation. And when these tests are completed, they must also be evaluated. Of course, there are times when a test is ineffective. In fact, in most cases they are. If - out of tests come in, it is considered a good result. This is true for us too. We have already spent several days and weeks on optimizations that had no effect. However, the - that worked could be further refined. And these typically make up for the many failed attempts.
And if we have reached the end of a testing cycle, then we can start the process from the beginning. Again, we collect our best ideas, rank them, implement them, evaluate them, and start again. Two things must be taken care of: The goals of the tests should fit into the company's goals. If the monetization needs to be fixed, for example, don't pour free users into the system with the help of - tests. Let's run only as many tests as make sense. If something requires - weeks of development, but its potential effect is only minimal, then think twice about whether it makes sense to start at that time. Over time, of course, as we collect more and more data about the use of the app, we will see how users can be monetized.