How can you manage risks in R&D validation?
R&D validation is a crucial step in product development, where you test your assumptions and hypotheses with real customers and users. It helps you avoid wasting time and resources on building something that nobody wants or needs. However, R&D validation also involves risks, such as exposing your ideas to competitors, losing control over your data, or getting biased or unreliable feedback. How can you manage these risks and ensure that your R&D validation is effective and efficient? Here are some tips and best practices.