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The
Lean
Startup

           #leanstartup

           Eric
Ries
(@ericries)

h7p://startuplessonslearned.blogspot.com

Thank
You!

•  Scholarship
Donors
   •  Customer
Advisory

                            Board

  –  KISSmetrics

                           –  Hiten
Shah

  –  Bill
Braasch

     (@billmelater)
       –  Jared
Goralnick

  –  Bob
Aniello
          –  Siqi
Chen

     (@CornOnTheBob)
      –  Andrew
Meyer


                           –  Simon
Newstead

                           –  Jeffrey
Barman

                           –  Sean
Heywood

Most
Startups
Fail

•  But
it
doesn’t
have
to
be
that
way.
We
can
do

   be7er.
This
talk
is
about
how.

The
Lean
Startup
and
You

•  Thinking
of
starXng
a
new
company,
but

   haven’t
taken
the
first
step

•  In
a
startup
now
and
want
to
iterate
faster

•  Want
to
create
the
condiXons
for
lean

   innovaXon
inside
a
big
company

A
Tale
of
Two
Startups

Startup
#1

A
good
plan?

•  Start
a
company
with
a
compelling
long‐term

   vision.


•  Raise
plenty
of
capital.

•  Hire
the
absolute
best
and
the
brightest.

•  Hire
an
experienced
management
team
with
tons

   of
startup
experience.

•  Focus
on
quality.


•  Build
a
world‐class
technology
pla_orm.

•  Build
buzz
in
the
press
and
blogosphere.

Achieving
Failure

•  Company
failed
u7erly,
$40MM
and
five
years

   of
pain.

•  Crippled
by
“shadow
beliefs”
that
destroyed

   the
effort
of
all
those
smart
people.

Shadow
Belief
#1

•  We
know
what
customers
want.


Shadow
Belief
#2

•  We
can
accurately
predict
the
future.


Shadow
Belief
#3

•  Advancing
the
plan
is
progress.


A
good
plan?

•  Start
a
company
with
a
compelling
long‐term

   vision.


•  Raise
plenty
of
capital.

•  Hire
the
absolute
best
and
the
brightest.

•  Hire
an
experienced
management
team
with
tons

   of
startup
experience.

•  Focus
on
quality.


•  Build
a
world‐class
technology
pla_orm.

•  Build
buzz
in
the
press
and
blogosphere.

Startup
#2

IMVU
New
plan

•  Shipped
in
six
months
–
a
horribly
buggy
beta

   product

•  Charged
from
day
one

•  Shipped
mulXple
Xmes
a
day
(by
2008,
on

   average
50
Xmes
a
day)

•  No
PR,
no
launch

•  Results:
2007
revenues
of
$10MM

Lean
Startups
Go
Faster

•  Commodity
technology
stack,
highly
leveraged

   (free/open
source,
user‐generated
content,

   SEM).

•  Customer
development
–
find
out
what

   customers
want
before
you
build
it.


•  Agile
somware
development
–
but
tuned
to

   the
startup
condiXon.

Commodity
technology
stack

•  Leverage
=
for
each
ounce
of
effort
you
invest

   in
your
product,
you
take
advantage
of
the

   efforts
of
thousands
or
millions
of
others.

•  It’s
easy
to
see
how
high‐leverage
technology

   is
driving
costs
down.

•  More
important
is
its
impact
on
speed.

•  Time
to
bring
a
new
product
to
market
is

   falling
rapidly.


Customer
Development

                           ConXnuous
cycle
of
customer

                       

                           interacXon

                              Rapid
hypothesis

                            

                              tesXng
about
market,

                              pricing,
customers,
…

                             Extreme
low
cost,
low


                              burn,
Xght
focus

                             Measurable
gates
for


                              investors

h7p://bit.ly/tpTtE

A
tale
of
two
startups,
revisited

•  Mirrors
the
changes
in
development

   methodologies
over
the
past
few
years.

•  Let’s
look
at
those
changes
schemaXcally.



•  These
examples
are
drawn
from
somware

   startups,
but
increasingly:

   –  All
products
require
somware


   –  All
companies
are
operaXng
in
a
startup‐like

      environment

TradiXonal
Product
Development

                 Unit
of
progress:
Advance
to
Next
Stage


                                  Waterfall

            Requirements


                        Design

Problem: known                                         Solution: known
                            Implementa2on



                                       Verifica2on


                                              Maintenance

Agile

             Unit
of
progress:
a
line
of
working
code



“Product Owner” or
in-house customer




    Problem: Known                     Solution: Unknown
Product
Development
at
Lean
Startup

Unit
of
progress:
validated
learning
about
customers
($$$)





     Problem: Unknown              Solution: Unknown
Minimize
TOTAL
Xme
through
the
loop


                  IDEAS




 LEARN
                              BUILD





          DATA
              CODE





                  MEASURE

How
to
build
a
Lean
Startup

•  Let’s
talk
about
some
specifics.
These
are
not

   everything
you
need,
but
they
will
get
you

   started




•  ConXnuous
deployment

•  Split‐test
(A/B)
experimentaXon

•  Five
why’s


ConXnuous
Deployment


                                            IDEAS



Learn
Faster
                                                           Code
Faster

                  LEARN
                                       BUILD

Five
Whys
Root
                                                          ConXnuous

Cause
Analysis
                                                         Deployment





                            DATA
                      CODE





                       Measure
Faster

                                            MEASURE

                       Rapid
Split
Tests

Continuous Deployment
•  Deploy new software quickly
   •    At IMVU time from check-in to production = 20 minutes


•  Tell a good change from a bad change (quickly)

•  Revert a bad change quickly

•  Work in small batches
   •  At IMVU, a large batch = 3 days worth of work

•  Break large projects down into small batches
Cluster Immune System
What it looks like to ship one piece of code to production:
 •  Run tests locally (SimpleTest, Selenium)
          Everyone has a complete sandbox
     o 


 •  Continuous Integration Server (BuildBot)
     o  All tests must pass or “shut down the line”
          Automatic feedback if the team is going too fast
     o 


 •  Incremental deploy

          Monitor cluster and business metrics in real-time

     o 
          Reject changes that move metrics out-of-bounds
     o 


 •  Alerting & Predictive monitoring (Nagios)

          Monitor all metrics that stakeholders care about

     o 
          If any metric goes out-of-bounds, wake somebody up

     o 
          Use historical trends to predict acceptable bounds
     o 


 When
customers
see
a
failure:

          Fix the problem for customers
     o 
          Improve your defenses at each level

     o 
Rapid
Split
Tests


                                            IDEAS



Learn
Faster
                                                           Code
Faster

                  LEARN
                                       BUILD

Five
Whys
Root
                                                          ConXnuous

Cause
Analysis
                                                         Deployment





                            DATA
                      CODE





                       Measure
Faster

                                            MEASURE

                       Rapid
Split
Tests

Split‐tesXng
all
the
Xme

•  A/B
tesXng
is
key
to
validaXng
your

   hypotheses

•  Has
to
be
simple
enough
for
everyone
to
use

   and
understand
it

•  Make
creaXng
a
split‐test
no
more
than
one

   line
of
code:

          if(
setup_experiment(...)
==
quot;controlquot;
)
{

          



//
do
it
the
old
way

          }
else
{

          


//
do
it
the
new
way

          }

The
AAA’s
of
Metrics

•  AcXonable

•  Accessible

•  Auditable

Measure
the
Macro

•  Always
look
at
cohort‐based
metrics
over
Xme

•  Split‐test
the
small,
measure
the
large

                       Control
Group
(A)
   Experiment
(B)

   #
Registered
       1025
                1099

   Downloads
          755
(73%)
           733
(67%)

   AcXve
days
0‐1
     600
(58%)
           650
(59%)

   AcXve
days
1‐3
     500
(48%)
           545
(49%)

   AcXve
days
3‐10
    300
(29%)
           330
(30%)

   AcXve
days
10‐30
   250
(24%)
           290
(26%)

   Total
Revenue
      $3210.50
            $3450.10

   RPU
                $3.13
               $3.14

Five
Whys


                                               IDEAS



Learn
Faster
                                                             Code
Faster

                  LEARN
                                         BUILD

Five
Whys
Root
                                                            ConXnuous

Cause
Analysis
                                                           Deployment





                            DATA
                        CODE





                       Measure
Faster

                                              MEASURE

                       Rapid
Split
Tests

Five
Whys
Root
Cause
Analysis

•  A
technique
for
conXnuous
improvement
of

   company
process.

•  Ask
“why”
five
Xmes
when
something

   unexpected
happens.

•  Make
proporEonal
investments
in
prevenXon

   at
all
five
levels
of
the
hierarchy.

•  Behind
every
supposed
technical
problem
is

   usually
a
human
problem.
Fix
the
cause,
not

   just
the
symptom.

There’s
much
more…


                                                     IDEAS



Learn
Faster
                                                                                    Code
Faster

                      LEARN
                                                   BUILD

Split
Tests
                                                                                       Unit
Tests

Customer
Interviews
                                                                           Usability
Tests

Customer
Development
                                                                ConXnuous
IntegraXon

Five
Whys
Root
Cause
Analysis
                                                     Incremental
Deployment

Customer
Advisory
Board
                                                   Free
&
Open‐Source
Components

Falsifiable
Hypotheses
                                                                      Cloud
CompuXng

Product
Owner
Accountability
                                                       Cluster
Immune
System

                                     DATA
                            CODE

Customer
Archetypes
                                                                  Just‐in‐Xme
Scalability

Cross‐funcXonal
Teams
                                                                           Refactoring

Semi‐autonomous
Teams
                                                                   Developer
Sandbox

Smoke
Tests




                                 Measure
Faster

                                                    MEASURE

                                 Split
Tests
                      Funnel
Analysis

                                 Clear
Product
Owner
              Cohort
Analysis

                                 ConXnuous
Deployment
         Net
Promoter
Score

                                 Usability
Tests
         Search
Engine
MarkeXng

                                 Real‐Xme
Monitoring
           Real‐Time
AlerXng

                                 Customer
Liaison
           PredicXve
Monitoring

The
Lean
Startup

•  You
are
ready
to
do
this,
whether
you
are:

  –  Thinking
of
starXng
a
new
company,
but
haven’t

     taken
the
first
step

  –  Are
in
a
startup
now
that
could
iterate
faster

  –  Want
to
create
the
condiXons
for
lean
innovaXon

     inside
a
big
company

•  Get
started,
now,
today.

Thanks!


•  Startup
Lessons
Learned
Blog

   –  h7p://startuplessonslearned.blogspot.com/


•  Webcast:
“How
to
Build
a
Lean
Startup,
step‐by‐step”

   –  May
1,
2009
at
10am
PST

   –  h7p://www.oreillynet.com/pub/e/1294 



•  The
Lean
Startup
Workshop 


   –  An
all‐day
event
for
a
select
audience

   –  May
29,
2009
in
San
Francisco

   –  Sign
up
at:
h7p://bit.ly/a5uw8



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