Data science product_dev_toolkit_20200211
- 1. Making Data Science Part of Your Product Development Toolkit Cherry Ignacio, Senior Product Manager, Capacity Julie Chang, Data Scientist, Capacity February 11, 2020
- 2. Agenda About Us Product Manager Toolkit Overview Data-driven Decision-making and the Product Mindset Common Methods for Product Decision-making Summary and Case Study Questions and Discussion
- 3. About us
- 4. The Product Manager’s Toolkit
- 6. Data and the Product Mindset Should I build a skateboard? Should I turn the skateboard into a scooter? Data science can help product managers decide
- 8. A/B Testing - the Tried and True
- 11. Machine Learning Products Define model requirements Compare against alternative solutions Define use case/problem Design UX for ML model results
- 12. Other Common Metrics Any others in your jobs? User Activity: Active users (DAU/MAU), # of transactions, new users Finance: Annual Recurring Revenue, Annual Contract Value, Total Contract Value Operational: System response time, model run time, load/render time.
- 13. “ What if I don’t have much quantitative data? A Perennial Problem
- 14. Summary
- 15. How data scientists can impact product development Help choose the right methods for testing hypotheses Convey the right interpretation of results Communicate any limitations or pitfalls Deliver insights & recommendations for products
- 16. How product managers can build an effective relationship with data teams Understand data team structures and roles for right points of communication Generate a clear problem definition to solve and/or hypothesis to test Understand common data analysis methods As with all teams, communicate early and often!
- 17. Case Study: The Bioinformatics “skateboard” that sells
- 18. Questions? Experiences You’d like to Share?
- 19. Resources