1. The webinar discusses best practices in analytics for product managers using data to drive product decisions. 2. Looker is presented as a modern analytics platform that provides data insights to all departments and integrates with applications to deliver data directly into decision making. 3. Successful data-driven product management involves identifying goals, finding opportunities, understanding problems, developing and testing solutions, launching changes and monitoring key performance indicators.

1. Products for Product People:
Best Practices in Analytics
Andrew Wynn Hannah Flynn
With: Moderated by:
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2. Looker is a modern analytics platform that offers data analytics and
business insights to every department, and easily integrates into
applications to deliver data directly into the decision-making process.
Looker is powering data-driven cultures at more than 1200 industry-leading
and innovative companies.

3. Click on the Questions panel to
interact with the presenters
www.productmanagementtoday.com/webinar-series/modern-product-data-workflows
www.projectmanagementupdate.com/webinar-series/modern-product-data-workflows
www.businessinnovationbrief.com/webinar-series/modern-product-data-workflows

4. About Andrew Wynn
Andrew Wynn is a Senior Product Manager responsible for Looker's consumer facing product. Andrew joined
Looker in July, 2017 and prior to Looker spent the 3 years at Instacart working on data and catalog products.
When not at work or at home, Andrew can almost certainly be found at the Dolphin Club in San Francisco where
he enjoys swimming long-distance marathon swimming.
About Hannah Flynn
Hannah went to The University of Chicago, where she majored in Environmental Studies with a concentration in
Economics and Policy. She now works with Aggregage on social media strategy and webinar production on sites
such as Product Management Today, B2B Marketing Zone, Supply Chain Brief, and Customer Experience Update.

5. Products for Product People:
Best practices in analytics
Andrew Wynn
Lead Product Manager, Consumer Product

6. Agenda
Why we’re here
1
Data driven
product
management
2
How we do it
at Looker
3
How our
customers do it
4
Q&A
5

7. How familiar are you with Looker?
- Not at all
- Somewhat familiar
- Familiar
- Know it well
Poll #1

8. Looker is the modern analytics platform
Security
Data governance
Git-version history
Looker web app Your apps 3rd-party apps
Business logic
RESTful API
Scalability

9. Better product for your customers
Outcomes: Maximize return on eng. investment
Right experience, right place, right time
Using data in product management

10. What data-driven product management is not:

11. The feature factory

12. Do you feel that you're empowered to make data driven product
decisions?
- Yes
- No
Poll #2

13. Data helps saves you from this trap:
*not made in Looker

14. Product management at Looker

15. Ownership and goals
Administration Consumer Product Data Model Core Services
Administration
Content Org
Content Creation & Consumption
Result Set Generation
Data Delivery
Embedded Analytics
Model Development Core Infrastructure
Ops
Data Engineering
Platform!

16. Administration Consumer Product Data Model Core Services
Administration
Content Org
Content Creation & Consumption
Result Set Generation
Data Delivery
Embedded Analytics
Model Development Core Infrastructure
Ops
Data Engineering
Platform!

17. Administration Consumer Product Data Model Core Services
Administration
Content Org
Content Creation & Consumption
Result Set Generation
Data Delivery
Embedded Analytics
Model Development Core Infrastructure
Ops
Data Engineering
Platform!

18. How do you do data analysis and exploration?
- I know SQL
- I work with an analyst
- I use a tool
- I don't do data analysis or exploration
- Other
Poll #3

19. Most Places - two ways
1. PMs know SQL
OR
2. PMs have an Analyst

20. SQL I know

21. SQL Required

22. Analysts I have

23. How?

24. Answer your own questions

25. … and not for just product usage data

26. A real example: driving user activation

27. 1. Identify the goals
▪ Company Goal: Make non-technical users more successful in Looker.
▪ Product Goal: Improve the product’s ease of use for non-technical users.
▪ KPIs:
▪ Activation: Get more Looker users Active in their 2nd month
▪ Retention: Keep more Looker users Active by their 6th month

28. 2. Look for opportunities

29. 3. Understand the problem

30. 4. Develop a solution

31. 5. Test the solution

32. 6. Launch and monitor

33. 7. Watch your KPIs
*not quite this good but we can all dream

34. Summary
1. Identify the goals
2. Look for opportunities
3. Understand the problem
4. Develop a solution
5. Test the solution
6. Launch & monitor
7. $$$$!!!

35. Summary
1. Identify the goals
2. Look for opportunities
3. Understand the problem
4. Develop a solution
5. Test the solution
6. Launch & monitor
7. $$$$!!!

36. Product teams using Looker

37. Relies on usage data to
understand how product
releases perform

38. Accuracy → Single source of truth, live governed data
Immediacy → True self-service, not relying on SQL/analyst
Exploration → Ask more and better questions
Collaboration → Share KPIs and data with stakeholders
Product-ify → Embed in-app the metrics users care about
Value of Looker to PMs
INTERNALEXTERNAL

39. Q&A
Hannah Flynn
With: Moderated by:
Senior Product Manager, Looker
Linkedin page: linkedin.com/in/wynnandrewj/
Twitter ID: @LookerData
Email: discover@Looker.com
Website: looker.com
Andrew Wynn
Site editor, Product Management Today
Linkedin page: linkedin.com/in/hannahmflynn
Twitter ID: @prodmgmttoday
Email: hannah@aggregage.com
Website: productmanagementtoday.com
www.productmanagementtoday.com/webinar-series/modern-product-data-workflows
www.projectmanagementupdate.com/webinar-series/modern-product-data-workflows
www.businessinnovationbrief.com/webinar-series/modern-product-data-workflows