### Q1: What is the basic concept of data-driven decision making, and how does it differ from intuition-based decision making?  
### Q2: How can product managers utilize tools like Google Analytics or Tableau to enhance their data-driven decision-making process?  
### Q3: Describe a challenging scenario where data-driven decision making can significantly impact product development in the fintech industry.  
### Q4: What are some key metrics or KPIs that are essential for measuring product performance in a fintech context?  
### Q5: How can customer lifetime value be calculated and what implications does it have on business strategy?  
### Q6: Discuss a complex case where analyzing churn rate could lead to critical insights for product improvement.  
### Q7: Why is effective communication of data insights important for aligning stakeholders in product development?  
### Q8: How can data storytelling enhance the interpretation of findings from A/B testing results?  
### Q9: Reflect on how you can improve your communication skills to better present data-driven insights to non-technical stakeholders.