This presentation discusses being data driven and making data-driven decisions. It covers key concepts like building a minimum viable product and testing it using metrics like daily active users through A/B testing. This allows companies to learn quickly by reducing uncertainty through iterative testing and measurement. The goal is to become right through science rather than trying to prove you are already right.

1. Warning!
 Participation will be required during this
presentation
 This presentations contains visual content put
together by a person with not graphic design or
photoshop skills.

2. Being Data Driven

4. What?
 Being Data Driven

5. Data Driven Decision
Making
Why?

7. How?
 Reduction of uncertainty
“I have approximate answers, and possible beliefs and
different degrees of certainty about different things, but I
am not absolutely sure of anything…”
Richard Feynman

8. The Lean Startup
 Lean: Light weight

9. Key Concepts
 Build - Measure - Learn
 Minimum Viable Product (MVP)
 Vanity metrics

10. Build - Measure -
Learn (Repeat)

11. Minimum Viable
Product (MVP)
How fast can we learn?

12. Vanity Metrics

13. Vanity metrics

14. Actionable metrics
 Example: Daily Active Users (DAU) > Installs
 Lagging vs Leading indicators

15. A/B Testing

16. You don't use science to show that you're
right, you use science to become right.
A/B Testing

18. Lean analytics (Bonus)
 Stages of a startup
 One metric that matters
 Lines in the sand

19. The 5 stages of a startup
 Empathy
 Stickiness
 Virality
 Revenue
 Scale

20. Questions?

21. Feedback
Thank you :)