Building a Data Driven Culture by Microsoft Sr Manager
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Product Management Event at #ProductCon Seattle on Building a Data Driven Culture by Ria Sankar, Senior Manager, Analytics for Ethics & Compliance at Microsoft.
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Building a Data Driven Culture by Microsoft Sr Manager
- 1. www.productschool.com Building a Data Driven Culture by Microsoft Sr Manager
- 2. Join 35,000+Product Managers on Free Resources Discover great job opportunities Job Portal prdct.school/PSJobPortalprdct.school/events-slack
- 3. C O U R S E S Product Management Learn the skills you need to land a Product Manager job
- 4. C O U R S E S Coding for Managers Build a website and gain the technical knowledge to lead software engineers
- 5. C O U R S E S Data Analytics for Managers Learn the skills to understand web analytics, SQL and machine learning concepts
- 6. C O U R S E S Learn how to acquire more users and convert them into clients Digital Marketing for Managers
- 7. C O U R S E S UX Design for Managers Gain a deeper understanding of your users and deliver an exceptional end- to-end experience
- 8. C O U R S E S For experienced Product Managers looking to gain strategic skills needed for top leadership roles Product Leadership
- 9. C O U R S E S Corporate Training Level up your team’s Product Management skills
- 10. Ria Sankar T O N I G H T ’ S S P E A K E R
- 11. Building a Data Driven Culture @SankarRia
- 12. First, 5 lessons learned along the way.
- 13. OXO Good Grips Deep customer empathy brings transformation
- 14. The Law of Unintended Consequences Instrument for leading indicators of failure
- 15. The Placebo effect The importance of hypothesis-driven testing Further Viewing: https://www.ted.com/talks/ben_goldacre_battling_bad_science?language=en#t-839994 Picture Source: https://upload.wikimedia.org/wikipedia/commons/5/55/VariousPills.jpg Source: Wikimedia Commons
- 17. Left-handed Bias Statistics can be sinister without reliable data Further Reading: https://marginalrevolution.com/marginalrevolution/2013/09/sinister-statistics-do-left-handed-people-die-young.html https://www.bbc.com/news/magazine-23988352 https://www.ncbi.nlm.nih.gov/pubmed/2006231 Source: http://en.wikipedia.org/wiki/Handedness If this were true, being left-handed ~= smoking 120 cigarettes a day
- 18. The 6 pillars of a data driven culture.
- 19. Focus on diversity of experience, skills & education Source: https://i.imgflip.com/1w3emg.jpg 1: Diverse Team
- 20. 2. Customer Empathy Understand your customer’s functional, social and emotional needs Social “Give volunteers a way to connect with like-minded friends” Emotional “Instill in veterans a new mission and sense of purpose” Functional “Find the best volunteers for disaster response” Source: TeamRubiconUSA.org
- 21. Understand their: 1. Circumstance 2. Desired Outcome 3. Level of Quality 4. Barriers Source: https://technofaq.org/wp-content/uploads/2016/09/happy-customer.jpg
- 22. • Time to appointment • Time to care • Cost of treatment • Effective treatment • Provider expertise • Complexity of care Case Study: Immediate Clinic From: Yelp.com WHEN my child is hurt, I NEED immediate care SO I CAN relax knowing that she is pain-free
- 23. 3: Business Consequences Source: hubspot.net Define your learning plan with a view of F.A.T.E. principles
- 25. Instrument for cause, effect, and response Cause EffectResponse
- 26. Qual & Quant effective in understanding new or sparse use cases Further reading: https://www.linkedin.com/pulse/user-research-turning-data-delightful-experiences-ria-sankar/
- 27. Customer Empathy High quality Data Business Problem Insight Establish a single source of truth and data dictionary 4: Data Literacy
- 28. Invest in data quality and tiered data access Data Ingestion Data Collection Data Storage Data Access Data Insights Further Reading: https://www.go- fair.org/fair-principles/
- 29. MAP CHART Graphical tools provide practical significance & isolate data issues
- 30. Law of the Vital Few 80% of effects come from 20% of causes Further Reading: The 7 basic quality tools: https://asq.org/quality-resources/seven-basic-quality-tools Source: https://en.wikipedia.org/wiki/Pareto_chart
- 31. 5: Hypotheses Testing Experiments provide an objective view of effect and significance
- 32. Belief Offline Test No Change Online Experiment No Change Significant Difference Ship! Significant Difference Offline metrics, Surveys, Sample data, Panel Studies Online Experimentation with AB or Multi-variate tests Lifecycle of a Belief Customer Interaction, Problem Definition, Data Collection
- 33. Experiment Design 101 Scientific vs. Design thinking
- 35. Establish urgency with a powerful story Authenticity Insight Purpose 6: Storytelling
- 38. www.productschool.com Part-time Product Management, Coding, Data Analytics, Digital Marketing, UX Design, Product Leadership courses and Corporate Training