### Q1: What is the primary function of prototyping tools like Figma when developing AI/ML products?  
### Q2: How can you effectively utilize the Agile methodologies to enhance the iteration process of your AI/ML product?  
### Q3: What are the key challenges you might face when selecting a prototyping tool for a complex AI/ML project?  
### Q4: How does starting with a Minimum Viable Product (MVP) benefit the overall product development process?  
### Q5: What methods can be employed to conduct regular reviews during the product iteration phase?  
### Q6: In what ways can cross-functional team collaboration improve the outcomes of the product iteration process?  
### Q7: How can user interviews provide qualitative insights that quantitative data may not capture?  
### Q8: What are the important considerations when designing surveys to gather user feedback effectively?  
### Q9: How can analyzing usage data impact future iterations of your AI/ML product?