Experiment board (samples) from Lean Startup Machine

1. Lean Startup
http://goo.gl/lCJ0mm
Lorenzo Dee
VP of Consulting, O&B
October 2014 Learning Session

2. Things we'll cover:
What is a Startup?
What is Lean Startup?
What is the Lean Startup Machine?
#onblearningsession
Board
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Experiment

4. Steve Blank
The Startup Owner's Manual
Photo source: https://learni.st/boards/9484/learnings/73282-the-four-steps-to-the-epiphany-by-steve-blank

5. Paul Graham
Y-Combinator

6. Eric Ries
The Lean Startup

7. Speaking of extreme uncertainty...
Do you understand what customers want from your business?
Do you understand why they choose you?
Do you understand why the like you?
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8. Kate Upton, Model

9. Existing New
Existing
New Here!
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10. Existing New Unknown
Existing
New
Unknown Here!
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12. Lean startup:
is a method for developing businesses and products first proposed in 2011 by
Eric Ries
can shorten product development cycles by adopting a combination of
experimentation, iterative product releases, and "validated learning"
http://en.wikipedia.org/wiki/Lean_startup
Lean Startup is a trademark owned by Eric Ries.
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13. Lean Startup is a trademark owned by Eric Ries.
#onblearningsession
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14. Eric Ries
The Lean Startup
"Measure" nga
naman!?!
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15. a functioning
product
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16. (Think: Minimum Viable Experiment)
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17. of all new products succeed
http://fundersandfounders.com/will-i-succeed-with-my-startup-the-odds-of-making-it/
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18. About three-quarters of venture-backed firms in the
U.S. don't return investors' capital, according to
recent research by Shikhar Ghosh, a senior lecturer
at Harvard Business School
WSJ Online: The Venture Capital Secret: 3 Out of 4 Start-Ups Fail
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19. If failure is defined as failing to see the projected
return on investment—say, a specific revenue growth
rate or date to break even on cash flow—then more
than 95% of start-ups fail, based on Mr. Ghosh's
research.
WSJ Online: The Venture Capital Secret: 3 Out of 4 Start-Ups Fail
#onblearningsession
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21. Intensive 3-day workshop where participants apply Lean Startup methodology to
solve real world problems.
Lean Startup Machine is brought to you by Javelin.
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23. #onblearningsession 23/53

24. #onblearningsession 24/53

25. #onblearningsession 25/53

26. Turning your idea into an experiment:
Form your customer/1. problem hypothesis.
2. Identify your riskiest assumption.
3. Set a success criteria.
4. Run the experiment (e.g. interview, pre-sell, concierge)
If experiment succeeded, then persevere (and repeat until assumptions have
been validated)
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5.
6. Otherwise, pivot (and repeat)
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27. Form your customer/problem hypothesis (or turn your idea to a hypothesis):
Who is your customer?
What is the problem?
(Define the solution you have validated a problem worth solving)
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28. Case Study #1: Developer Skills
Case Study #2: Helping Dreamers
Case Study #3: Food-flavored Cigarettes
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29. Case Study #2: Helping Dreamers
Case Study #3: Food-flavored Cigarettes
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30. #onblearningsession 30/53
Startups
Skilled
Developers
Selecting
Ability to
select and
train
60%

31. #onblearningsession 31/53
Startups
Skilled
Developers
Selecting
Ability to
select and
train
60%
5/5
as problem
Time is
perceived

32. #onblearningsession 32/53
Startups
Skilled
Developers
Selecting
Ability to
select and
train
60%
5/5
as problem
Time is
perceived
Small
companies
Training
Developers
for training
Online
platform
Pay to use
platform
80%

33. #onblearningsession 33/53
Startups
Skilled
Developers
Selecting
Ability to
select and
train
60%
5/5
as problem
Time is
perceived
Small
companies
Training
Developers
for training
Online
platform
Pay to use
platform
80%
6/10
Believe in
internally
selected
online
training

34. #onblearningsession 34/53
Startups
Online
Training for
Skilled
Developers
Selecting
Ability to
select and
train
60%
5/5
as problem
Time is
perceived
Small
companies
Training
Developers
for
evaluating
for training
Online
platform
Pay to use
platform
80%
6/10
Believe in
internally
selected
online
training
Small
companies
Selecting
Developers
Online
platform
MOOC
Pay to use
platform
80%

35. #onblearningsession 35/53
Startups
Online
Training for
Skilled
Developers
Selecting
Ability to
select and
train
60%
5/5
as problem
Time is
perceived
Small
companies
Training
Developers
for
evaluating
for training
Online
platform
Pay to use
platform
80%
6/10
Believe in
internally
selected
online
training
Small
companies
Selecting
Developers
Online
platform
MOOC
Pay to use
platform
80%
5/6
Pain in
verifying
skills

36. #onblearningsession 36/53
Startups
Online
Training for
Skilled
Developers
Selecting
Ability to
select and
train
60%
5/5
as problem
Time is
perceived
Small
companies
Training
Developers
for
verifying
for
evaluating
for training
Online
platform
Pay to use
platform
80%
6/10
Believe in
internally
selected
online
training
Small
companies
Selecting
Developers
Online
platform
MOOC
Pay to use
platform
80%
5/6
Pain in
verifying
skills
Small
companies
Verifying
developer
skills
Online
platform
skills
Use tests to
verify skills
?

37. Case Study #1: Developer Skills
Case Study #3: Food-flavored Cigarettes
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38. #onblearningsession 38/53
(30-55) with
Employee
a dream
Caged in
daily
work
Has a
dream
Interview
21/30

39. #onblearningsession 39/53
(30-55) with
Employee
a dream
Caged in
daily
work
Has a
dream
Interview
21/30
15/22
have
dreams
People

40. #onblearningsession 40/53
(30-55) with
(30-55) with
Employee
a dream
Caged in
daily
work
Has a
dream
Interview
21/30
15/22
have
dreams
People
Employee
a dream
Caged in
daily
work
No
time/money
to live
dream
Interview
14/22

41. #onblearningsession 41/53
(30-55) with
(30-55) with
Employee
a dream
Caged in
daily
work
Has a
dream
Interview
21/30
15/22
dream
depends on
have
dreams
People
Employee
a dream
Caged in
daily
work
No
time/money
to live
dream
Interview
14/22
15/22
Younger
(20-55);
lifetime/age

42. #onblearningsession 42/53
(30-55) with
(30-55) with
(30-55) with
Employee
a dream
Caged in
daily
work
dreams
Happy
Has a
dream
Interview
21/30
15/22
dream
depends on
have
dreams
People
Employee
a dream
Caged in
daily
work
No
time/money
to live
dream
Interview
14/22
15/22
Younger
(20-55);
lifetime/age
Employee
excess cash
? (missed
problem)
for dreams
Crowd
funding
platform
Willing to
sponsor
to find
one!

43. #onblearningsession 43/53
(30-55) with
(30-55) with
(30-55) with
Employee
a dream
Caged in
daily
work
dreams
Happy
Has a
dream
Interview
21/30
15/22
value
proposition;
dream
depends on
have
dreams
People
Employee
a dream
Caged in
daily
work
No
time/money
to live
dream
Interview
14/22
15/22
Younger
(20-55);
lifetime/age
Employee
excess cash
? (missed
problem)
for dreams
Crowd
funding
platform
Willing to
sponsor
to find
one!
0/2
No unique
No pain

44. #onblearningsession 44/53
(30-55) with
(30-55) with
(30-55) with
Employee
a dream
dream;
Help others
Caged in
daily
work
dreams
Happy
Has a
dream
Interview
21/30
15/22
value
proposition;
dream
depends on
have
dreams
People
Employee
a dream
Caged in
daily
work
No
time/money
to live
dream
Interview
14/22
15/22
Younger
(20-55);
lifetime/age
Employee
excess cash
? (missed
problem)
for dreams
Crowd
funding
platform
Willing to
sponsor
to find
one!
0/2
No unique
No pain
Employees
(20-55)
Pursue
pursue
dream
Peer-to-peer
pitch
platform for
dreams
Dreamers
can't do it
alone;
Helpers
available
3/12
mail; 5%
CVR

45. Case Study #1: Developer Skills
Case Study #2: Helping Dreamers
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46. #onblearningsession 46/53
Smokers
Bad-tasting
cigarettes
Don't like
bad-tasting
cigarettes
Interview
4/5

47. #onblearningsession 47/53
Smokers
Bad-tasting
cigarettes
Don't like
bad-tasting
cigarettes
Interview
4/5
0/6
mind
lingering
Smokers
smell
afterwards

48. #onblearningsession 48/53
Smokers
Bad-tasting
cigarettes
remove
lingering
Don't like
bad-tasting
cigarettes
Interview
4/5
0/6
want to
remove
lingering
mind
lingering
Smokers
smell
afterwards
Smokers
Lingering
smell
Want to
smell
Interview
4/5
7/7
Smokers
smell

49. #onblearningsession 49/53
Smokers
Bad-tasting
cigarettes
remove
lingering
Don't like
bad-tasting
cigarettes
Interview
4/5
0/6
want to
remove
lingering
mind
lingering
Smokers
smell
afterwards
Smokers
Lingering
smell
Want to
smell
Interview
4/5
7/7
Smokers
smell
Smokers
Lingering
smell
Spray to
remove
smell
Willing to
pay for
spray-on
4/5

50. #onblearningsession 50/53
Smokers
Bad-tasting
cigarettes
remove
lingering
Don't like
bad-tasting
cigarettes
Interview
4/5
0/6
want to
remove
lingering
mind
lingering
Smokers
smell
afterwards
Smokers
Lingering
smell
Want to
smell
Interview
4/5
7/7
Smokers
smell
Smokers
Lingering
smell
Spray to
remove
smell
Willing to
pay for
spray-on
4/5
10/10
Price
range

51. Dave McClure
500 Startups

52. http://newentrepreneurship.nl/lean-startup-method/
#onblearningsession
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53. info@orangeandbronze.com
g+ gplus.to/lorenzo.dee
twitter @lorenzodee
www lorenzo-dee.blogspot.com
github github.com/lorenzodee