Lean startup presentation

1. ENABLING
INNOVATION
using Lean Startup

2. What is Lean Startup ?

3. Why is Startup Product failed ?
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•
•
•
•
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High burn Rate
Swing for the Fences
Full Management Teams
Assume Customer Known
Assume Features Known
Assume Growth by Execution
Traditional Startup Product are fighting yesterday’s War

4. Why should we change ?

5. The Path To Lean Startup
Japan’s Manufacturing Industry
Toyota’s Production System (Taichi Onno , 1978)
The New Product Development (Taichi Onno , 1978)
Agile
Design Pattern (Gang of Four, 1994)
Extreme Programming (Kent Beck, 1999)
Scrum (Sutherland & Schwaber, 1999)
Lean
Lean Software Development (Mary & Tom Popiendeck , 2003)
Kanban (David Anderson, 2010)
Lean Startup
Lean Startup (Eric Reis, 2011)

6. Failed Products – No one Wanted

7. Most Startups don’t Know What
They’ ll be when They Grow up

8. Innovation for Growth

9. What is Lean Startup ?
Customer
Validation
Shorten
Production
Time
Minimum
Viable
Product
Validated
Learning
Measurement

10. • Video

11. 3 Stages of Lean Startup

12. 3 Stages of Lean Startup
Finding Problem
Worth Solving
Customer
Validation
Defining the MVP
Shorten
Production
Time
Minimum
Viable
Product
Maximizing for
Learning
Measurement
Validated
Learning
Have I built something people want ?
Do I have problem worth solving ?
How do I accelerate growth?

13. Customer
Validation
Finding Problem Worth
Solving

14. Problem Worth Solving - Instagram
Example Hypothesis
We believe that creating the ability for people to
share photos on social networks will allow for
greater self-expression and deeper ambient
connection between people based on shared
interest.
- Instagram

15. Customer Development to Build Hypothesis
1.
Who is your customers ?
2.
What pain points to they have ?
3.
How will we solve their pain points ?
4.
What is the most important thing they need ?
5.
What is our differentiation ?
Which you turn into testable hypothesis for your early adopters

16. Steps to Build Hypothesis
3
1
1
5
2
1
Prioritize
4

17. Study Case - Hangscout
Hypothesis
We believe that showing the date and location of
show for the favorite performers and the live
performance nearby will create a greater
connection between fans and their favorite
musicians
- Hangscout

18. Study Case : Persona Development - Hangscout

19. Study Case : Problem Development - Hangscout
Miss a live performance
Doesn’t know the
schedule
Doesn’t know the live
performance was
cancelled
So much work to find the
live performance
schedule
Doesn’t know well about
the place

20. Study Case : Solution- Hangscout
Artist & event Schedule
reminder
Live performance
location information
Artist & event Schedule &
info

21. Study Case : Value Proposition- Hangscout
Live performance
schedule helper
(event & artist schedule and
information in the systemic
use of data)
Helpful location
information (live
performance location)
Time saving for fans
(Providing event and artist
schedule in one trusted
place in mobile app)

22. How To do the Customer Validation

23. Is your Assumption Right ?

24. Shorten
Production
Time
Minimum
Viable
Product
Defining the Minimum
Viable Product

25. Defining the Minimum Viable Product
Lean startups are series of MVPs. Each MVP designed to answer
specific questions (hypothesis) – Eric Reis
The minimum viable product (MVP) is often an ad on google. Or a
power point slide. Or a dialog box. Or a landing page. – Nivi,
Venture Hacks.
Building an MVP is to avoid building product that nobody wants. –
Steve Blank

26. Twttr Minimum Viable Product
http://www.flickr.com/photos/jackdors
ey/182613360/

27. Dropbox Minimum Viable Product

28. Study Case – The Lounge MVP
Based on 13 people interviewed, they (10
people)agree with this kind of choices, with 3
people will only see when they see for new
places in the city they traveled.
We interview 8 people with 7 people consider
review with picture and 1 person considers
review with icon and rating.

29. How can We Make it Work ?

30. Measurement
Validated
Learning
Maximizing for Learning

31. Fail Fast , Success Faster

32. Lean Startup Advocates Experiments and Learning
Learn Faster
Customer Development
Build Faster
Continuous Deployment
Small Batches
Minimum Viable Product
Measure Faster
Split Testing
Actionable Metrics

33. Product / Market Fit

34. AARRR Metrics

35. Pivot

36. Pivot
Cryptography
PDA payment
E-bay web payment

37. How can We Build This Efficiently

39. Lean Startup – First Step
1. Decide on your early adopters
2. Write your hypothesis down
3. Build your minimum viable product
4. Prove it in micro-scale and get out of the building
5. Fact-based culture, built to learn