### Q1: What is data product management, and how does it differ from traditional product management?  
### Q2: Can you explain the ideation phase of the data product lifecycle and its importance?  
### Q3: What are the challenges a product manager may face during the maintenance and iteration phase?  
### Q4: How can understanding user needs improve the development of a budgeting app?  
### Q5: In what ways can market trends influence the features of a data-driven product?  
### Q6: Why is it essential for product managers to gather insights from stakeholders during product development?  
### Q7: How can effective communication improve collaboration between product managers and data engineers?  
### Q8: What strategies can be employed to promote a data product effectively during its launch phase?  
### Q9: How important is user feedback in the communication process after a product launch?