How do you work with product hypotheses?

Working with product hypotheses involves several stages:

1. Formulating the hypothesis — clearly define what exactly you want to test (e.g., "Adding button X will increase conversion by 10%").
2. Prioritization — evaluate hypotheses based on importance and likelihood of success to select the most promising ones.
3. Developing an experiment — plan how to test the hypothesis (A/B test, survey, prototype).
4. Launching and data collection — conduct the experiment and gather metrics.
5. Analyzing results — verify whether the hypothesis was confirmed and draw conclusions.
6. Next steps — implement changes if the hypothesis is confirmed, or abandon/reformulate if not.

This approach helps minimize risks and make data-driven decisions.