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Lazy photos
Original idea
• Compiling photo albums with generic
beautiful photos	

• For people that make ugly photos	

• For people that are too lazy to take photos
on trips
Experimentshe right to start your experiment.
Customer
Problem
Solution
Result &
Decision
Learning
Riskiest
Assumption
Success
Criterion
1 2 3 4 5
Time Limit: 5 Min
s perspective. Time Limit: 5 Min
Time Limit: 5 Min
ypothesis to be true. Time Limit: 10 Min
your experiment.
m a Problem/Solution Hypothesis:
ieve this solution will result
.
ntify your Riskiest Assumption:
assumption with the least
unt of data, and core to the
ility of my hypothesis is...
mine what success looks like:
l run experiment with # of
omers and expect a strong
al from # of customers.
GET OUT OF THE BUILDING!
Tourists with
bad cameras
Photos too
bad/ugly for
albums
People want
to make
beautiful
albums
6/10
Experimentshe right to start your experiment.
Customer
Problem
Solution
Result &
Decision
Learning
Riskiest
Assumption
Success
Criterion
1 2 3 4 5
Time Limit: 5 Min
s perspective. Time Limit: 5 Min
Time Limit: 5 Min
ypothesis to be true. Time Limit: 10 Min
your experiment.
m a Problem/Solution Hypothesis:
ieve this solution will result
.
ntify your Riskiest Assumption:
assumption with the least
unt of data, and core to the
ility of my hypothesis is...
mine what success looks like:
l run experiment with # of
omers and expect a strong
al from # of customers.
GET OUT OF THE BUILDING!
Tourists with
bad cameras
Photos too
bad/ugly for
albums
People want
to make
beautiful
albums
6/10
0/10 :(
PIVOT!
People happy
with their pics.
Problem
organizing
photos
Experimentshe right to start your experiment.
Customer
Problem
Solution
Result &
Decision
Learning
Riskiest
Assumption
Success
Criterion
1 2 3 4 5
Time Limit: 5 Min
s perspective. Time Limit: 5 Min
Time Limit: 5 Min
ypothesis to be true. Time Limit: 10 Min
your experiment.
m a Problem/Solution Hypothesis:
ieve this solution will result
.
ntify your Riskiest Assumption:
assumption with the least
unt of data, and core to the
ility of my hypothesis is...
mine what success looks like:
l run experiment with # of
omers and expect a strong
al from # of customers.
GET OUT OF THE BUILDING!
Tourists with
bad cameras
Photos too
bad/ugly for
albums
People want
to make
beautiful
albums
6/10
0/10 :(
PIVOT!
People happy
with their pics.
Problem
organizing
photos
Young people
taking lots of
photos with
smartphones
Taken photos
not used
anymore
People still
want
to look/find
their
old pics
5/10
Experimentshe right to start your experiment.
Customer
Problem
Solution
Result &
Decision
Learning
Riskiest
Assumption
Success
Criterion
1 2 3 4 5
Time Limit: 5 Min
s perspective. Time Limit: 5 Min
Time Limit: 5 Min
ypothesis to be true. Time Limit: 10 Min
your experiment.
m a Problem/Solution Hypothesis:
ieve this solution will result
.
ntify your Riskiest Assumption:
assumption with the least
unt of data, and core to the
ility of my hypothesis is...
mine what success looks like:
l run experiment with # of
omers and expect a strong
al from # of customers.
GET OUT OF THE BUILDING!
Tourists with
bad cameras
Photos too
bad/ugly for
albums
People want
to make
beautiful
albums
6/10
0/10 :(
PIVOT!
People happy
with their pics.
Problem
organizing
photos
Young people
taking lots of
photos with
smartphones
Taken photos
not used
anymore
People still
want
to look/find
their
old pics
5/10
0/10 :(((
PIVOT!
Not a good
segment/
problem
Too fuzzy
Yeah, it hurts!
The backup plan
Experimentshe right to start your experiment.
Customer
Problem
Solution
Result &
Decision
Learning
Riskiest
Assumption
Success
Criterion
1 2 3 4 5
Time Limit: 5 Min
s perspective. Time Limit: 5 Min
Time Limit: 5 Min
ypothesis to be true. Time Limit: 10 Min
your experiment.
m a Problem/Solution Hypothesis:
ieve this solution will result
.
ntify your Riskiest Assumption:
assumption with the least
unt of data, and core to the
ility of my hypothesis is...
mine what success looks like:
l run experiment with # of
omers and expect a strong
al from # of customers.
GET OUT OF THE BUILDING!
Tourists with
bad cameras
Photos too
bad/ugly for
albums
People want
to make
beautiful
albums
6/10
0/10 :(
PIVOT!
People happy
with their pics.
Problem
organizing
photos
Young people
taking lots of
photos with
smartphones
Taken photos
not used
anymore
People still
want
to look/find
their
old pics
5/10
0/10 :(((
PIVOT!
Not a good
segment/
problem
Too fuzzy
Students with
smartphones
Intensive
photo
makers
Validation.
Make some
pocket
money
They want to
sell their
photos
5/10
And…
And…
Experimentshe right to start your experiment.
Customer
Problem
Solution
Result &
Decision
Learning
Riskiest
Assumption
Success
Criterion
1 2 3 4 5
Time Limit: 5 Min
s perspective. Time Limit: 5 Min
Time Limit: 5 Min
ypothesis to be true. Time Limit: 10 Min
your experiment.
m a Problem/Solution Hypothesis:
ieve this solution will result
.
ntify your Riskiest Assumption:
assumption with the least
unt of data, and core to the
ility of my hypothesis is...
mine what success looks like:
l run experiment with # of
omers and expect a strong
al from # of customers.
GET OUT OF THE BUILDING!
Tourists with
bad cameras
Photos too
bad/ugly for
albums
People want
to make
beautiful
albums
6/10
0/10 :(
PIVOT!
People happy
with their pics.
Problem
organizing
photos
Young people
taking lots of
photos with
smartphones
Taken photos
not used
anymore
People still
want
to look/find
their
old pics
5/10
0/10 :(((
PIVOT!
Not a good
segment/
problem
Too fuzzy
Students with
smartphones
Intensive
photo
makers
Validation.
Make some
pocket
money
They want to
sell their
photos
5/10
9/18
YESSS!!!
People have
pics they’re
proud of.
Want to sell.
Privacy issues.
Service to
select and
publish the best
photos on stock
photo markets
Experimentshe right to start your experiment.
Customer
Problem
Solution
Result &
Decision
Learning
Riskiest
Assumption
Success
Criterion
1 2 3 4 5
Time Limit: 5 Min
s perspective. Time Limit: 5 Min
Time Limit: 5 Min
ypothesis to be true. Time Limit: 10 Min
your experiment.
m a Problem/Solution Hypothesis:
ieve this solution will result
.
ntify your Riskiest Assumption:
assumption with the least
unt of data, and core to the
ility of my hypothesis is...
mine what success looks like:
l run experiment with # of
omers and expect a strong
al from # of customers.
GET OUT OF THE BUILDING!
Tourists with
bad cameras
Photos too
bad/ugly for
albums
People want
to make
beautiful
albums
6/10
0/10 :(
PIVOT!
People happy
with their pics.
Problem
organizing
photos
Young people
taking lots of
photos with
smartphones
Taken photos
not used
anymore
People still
want
to look/find
their
old pics
5/10
0/10 :(((
PIVOT!
Not a good
segment/
problem
Too fuzzy
Students with
smartphones
Intensive
photo
makers
Validation.
Make some
pocket
money
They want to
sell their
photos
5/10
9/18
YESSS!!!
People have
pics they’re
proud of.
Want to sell.
Privacy issues.
Service to
select and
publish the best
photos on stock
photo markets
Stock photo
market
places
Can we sell
through
them?
We’ll be able
to sell through
all of them
5/5
6/6
YES
Legal terms
Fees
6 registrations /	

3 photos
YouPhoto.co - Lean Startup Machine

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YouPhoto.co - Lean Startup Machine

  • 2. Original idea • Compiling photo albums with generic beautiful photos • For people that make ugly photos • For people that are too lazy to take photos on trips
  • 3. Experimentshe right to start your experiment. Customer Problem Solution Result & Decision Learning Riskiest Assumption Success Criterion 1 2 3 4 5 Time Limit: 5 Min s perspective. Time Limit: 5 Min Time Limit: 5 Min ypothesis to be true. Time Limit: 10 Min your experiment. m a Problem/Solution Hypothesis: ieve this solution will result . ntify your Riskiest Assumption: assumption with the least unt of data, and core to the ility of my hypothesis is... mine what success looks like: l run experiment with # of omers and expect a strong al from # of customers. GET OUT OF THE BUILDING! Tourists with bad cameras Photos too bad/ugly for albums People want to make beautiful albums 6/10
  • 4.
  • 5. Experimentshe right to start your experiment. Customer Problem Solution Result & Decision Learning Riskiest Assumption Success Criterion 1 2 3 4 5 Time Limit: 5 Min s perspective. Time Limit: 5 Min Time Limit: 5 Min ypothesis to be true. Time Limit: 10 Min your experiment. m a Problem/Solution Hypothesis: ieve this solution will result . ntify your Riskiest Assumption: assumption with the least unt of data, and core to the ility of my hypothesis is... mine what success looks like: l run experiment with # of omers and expect a strong al from # of customers. GET OUT OF THE BUILDING! Tourists with bad cameras Photos too bad/ugly for albums People want to make beautiful albums 6/10 0/10 :( PIVOT! People happy with their pics. Problem organizing photos
  • 6. Experimentshe right to start your experiment. Customer Problem Solution Result & Decision Learning Riskiest Assumption Success Criterion 1 2 3 4 5 Time Limit: 5 Min s perspective. Time Limit: 5 Min Time Limit: 5 Min ypothesis to be true. Time Limit: 10 Min your experiment. m a Problem/Solution Hypothesis: ieve this solution will result . ntify your Riskiest Assumption: assumption with the least unt of data, and core to the ility of my hypothesis is... mine what success looks like: l run experiment with # of omers and expect a strong al from # of customers. GET OUT OF THE BUILDING! Tourists with bad cameras Photos too bad/ugly for albums People want to make beautiful albums 6/10 0/10 :( PIVOT! People happy with their pics. Problem organizing photos Young people taking lots of photos with smartphones Taken photos not used anymore People still want to look/find their old pics 5/10
  • 7.
  • 8. Experimentshe right to start your experiment. Customer Problem Solution Result & Decision Learning Riskiest Assumption Success Criterion 1 2 3 4 5 Time Limit: 5 Min s perspective. Time Limit: 5 Min Time Limit: 5 Min ypothesis to be true. Time Limit: 10 Min your experiment. m a Problem/Solution Hypothesis: ieve this solution will result . ntify your Riskiest Assumption: assumption with the least unt of data, and core to the ility of my hypothesis is... mine what success looks like: l run experiment with # of omers and expect a strong al from # of customers. GET OUT OF THE BUILDING! Tourists with bad cameras Photos too bad/ugly for albums People want to make beautiful albums 6/10 0/10 :( PIVOT! People happy with their pics. Problem organizing photos Young people taking lots of photos with smartphones Taken photos not used anymore People still want to look/find their old pics 5/10 0/10 :((( PIVOT! Not a good segment/ problem Too fuzzy
  • 11. Experimentshe right to start your experiment. Customer Problem Solution Result & Decision Learning Riskiest Assumption Success Criterion 1 2 3 4 5 Time Limit: 5 Min s perspective. Time Limit: 5 Min Time Limit: 5 Min ypothesis to be true. Time Limit: 10 Min your experiment. m a Problem/Solution Hypothesis: ieve this solution will result . ntify your Riskiest Assumption: assumption with the least unt of data, and core to the ility of my hypothesis is... mine what success looks like: l run experiment with # of omers and expect a strong al from # of customers. GET OUT OF THE BUILDING! Tourists with bad cameras Photos too bad/ugly for albums People want to make beautiful albums 6/10 0/10 :( PIVOT! People happy with their pics. Problem organizing photos Young people taking lots of photos with smartphones Taken photos not used anymore People still want to look/find their old pics 5/10 0/10 :((( PIVOT! Not a good segment/ problem Too fuzzy Students with smartphones Intensive photo makers Validation. Make some pocket money They want to sell their photos 5/10
  • 13. Experimentshe right to start your experiment. Customer Problem Solution Result & Decision Learning Riskiest Assumption Success Criterion 1 2 3 4 5 Time Limit: 5 Min s perspective. Time Limit: 5 Min Time Limit: 5 Min ypothesis to be true. Time Limit: 10 Min your experiment. m a Problem/Solution Hypothesis: ieve this solution will result . ntify your Riskiest Assumption: assumption with the least unt of data, and core to the ility of my hypothesis is... mine what success looks like: l run experiment with # of omers and expect a strong al from # of customers. GET OUT OF THE BUILDING! Tourists with bad cameras Photos too bad/ugly for albums People want to make beautiful albums 6/10 0/10 :( PIVOT! People happy with their pics. Problem organizing photos Young people taking lots of photos with smartphones Taken photos not used anymore People still want to look/find their old pics 5/10 0/10 :((( PIVOT! Not a good segment/ problem Too fuzzy Students with smartphones Intensive photo makers Validation. Make some pocket money They want to sell their photos 5/10 9/18 YESSS!!! People have pics they’re proud of. Want to sell. Privacy issues. Service to select and publish the best photos on stock photo markets
  • 14. Experimentshe right to start your experiment. Customer Problem Solution Result & Decision Learning Riskiest Assumption Success Criterion 1 2 3 4 5 Time Limit: 5 Min s perspective. Time Limit: 5 Min Time Limit: 5 Min ypothesis to be true. Time Limit: 10 Min your experiment. m a Problem/Solution Hypothesis: ieve this solution will result . ntify your Riskiest Assumption: assumption with the least unt of data, and core to the ility of my hypothesis is... mine what success looks like: l run experiment with # of omers and expect a strong al from # of customers. GET OUT OF THE BUILDING! Tourists with bad cameras Photos too bad/ugly for albums People want to make beautiful albums 6/10 0/10 :( PIVOT! People happy with their pics. Problem organizing photos Young people taking lots of photos with smartphones Taken photos not used anymore People still want to look/find their old pics 5/10 0/10 :((( PIVOT! Not a good segment/ problem Too fuzzy Students with smartphones Intensive photo makers Validation. Make some pocket money They want to sell their photos 5/10 9/18 YESSS!!! People have pics they’re proud of. Want to sell. Privacy issues. Service to select and publish the best photos on stock photo markets Stock photo market places Can we sell through them? We’ll be able to sell through all of them 5/5 6/6 YES Legal terms Fees
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.