How do you make product decisions in uncertain conditions?

In conditions of uncertainty when making product decisions, it is important to rely on hypotheses and quick experiments. Main approaches:

• Focus on goals and metrics. Clearly define what problem the product solves and what indicators will signify success.
• Hypotheses and MVP. Formulate hypotheses and test them through a minimally viable product (MVP) or prototypes.
• Gather feedback. Quickly collect data from users and the market to adjust the course.
• Prioritize risks. Identify key uncertainties and work on them first.
• Flexibility and adaptability. Be ready to change strategy based on new data.

For example, if you are launching a new feature, first create a prototype, test it on a small group of users, gather feedback, and only then scale.