We set goals
We do this to align on what we define as impactful. We also do it to understand if we are on the right track. We don’t obsess about goals, but it’s an important tool for learning. Sometimes you learn that your goal is wrong, or that you haven’t measured it correctly. Other times, you understand that you didn’t make the right decisions, and must adapt. And sometimes, you win, and should celebrate!We experiment and iterate
We are humble enough to admit that it’s really hard to know what will make an impact. We see every initiative as an experiment, an assumption we need to test. A good experiment is fast, and has clear results. This means that we try to reduce the scope to the minimum that could help us determine if our assumption is correct. If it is, you can do another iteration (which is a new experiment with new assumptions). A good example is the mental framework we use when scoping a new feature. We assume we will end up deleting it, so we better spend as little effort as possible on the first version. If it is successful and we don’t delete - it’s time to iterate and improve.We leverage data
This is pretty straight forward - we set goals, we experiment and try to make an impact, we leverage data to understand what worked and what didn’t. We actively think about what data we now need to answer our questions, and which new learnings we can produce from it.Default to action
As a small startup, we won’t win with resources. We will win with speed and flexibility. When you need to make a decision on how or whether to do something, ask yourself if:- The cost of error is low, or this action is reversible
- It makes a positive impact on our goals or our ability to achieve them