Slides from my talk last week @ Berkeley, Haas School of Business.

1. Building a Minimum
Viable Product
a data driven approach
Igal Perelman

2. MVP
The minimum set of features you have to
build in order to learn from early adopters
(*) Lean Startup - Eric Ries, Steve Blank

3. Decisions (assumptions)
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Culture
Core Use Case
Differentiation
Platform(s)
UX
Data
Go To Market
And many others…

4. Goals
• Product Market Fit
• Scale

5. MVP
The minimum set of features you have to build
in order to learn from early adopters

6. Learning from early adopters
• Qualitative (from day 0)
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Feedback channels
Reach out to users
• Quantitative (from day 1)
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What should I measure?

7. Quantitative
• New user acquisition
• New user activation
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Engagement
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Retention
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Revenue
(*) User resurrection

8. New User Acquisition
• Invites
• SEO
• ASO
• PPC
• Social platforms
• And many other channels...

9. ROI
• Investment / Acquisition channel
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UI
Time
$$$
• Return / AC == # of new users
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Activated users
Paying users

10. New User Activation
• Signup flow >> Signup page
• Questions
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Signup funnel conversion
% of new users that complete the core use case
What is the core metric?

11. Voxer

12. Voxer

13. Funnel Analysis
(*) mixpanel, dummy data.

14. Engagement
• Core use case => engagement ‘unit’
• # of these units
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Uniques
Total

15. Pinterest
(*) Internet Marketing Inc, Based on ComScore report.

16. Retention
• % of engaged users after X time
• Cohort analysis
• Core use case
• Viability, reliability, speed and usability

17. Retention
(*) mixpanel, dummy data.

18. Iterate
• Tweak / Remove / Build
• Measure
• Iterate based on learnings
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Metrics
User feedback
Research

19. Create a product that users ♥

20. Q&A
more questions?
@iperelman