All A/B tests and data shown in this
presentation are not based on real
experiments. They are made up just for
this presentation.
Slide 7
Bad Evidence
Slide 8
Slide 9
Slide 10
Base
база
Slide 11
Base
Variant
база
вариант
Slide 12
Base
Variant
база
вариант
Slide 13
Base
Variant
база
вариант
Slide 14
Base
Variant
база
вариант
Slide 15
Base
Variant
база
вариант
Slide 16
Base
Variant
вариант
база
Slide 17
Base
Variant
5234 searches
вариант
база
Slide 18
Base
Variant
5234 searches
6252 searches
вариант
база
Slide 19
Base
Variant
5234 searches
6252 searches
+19.45%
вариант
база
Slide 20
Variant
6252 searches
+19.45%
вариант
Base
5234 searches
база
Slide 21
Slide 22
Base
Variant
база
вариант
Slide 23
Base
Variant
Making the search box hotpink will result in more searches
база
вариант
Slide 24
Making the search box hotpink will result in more searches
Slide 25
Making the search box hotpink will result in more searches
6252 searches
+19.45%
Slide 26
Making the search box hotpink will result in more searches
6252 searches
+19.45%
242 bookings
-4.7%
Slide 27
Making the search box hotpink will result in more searches
Slide 28
Making the search box hotpink will result in more searches
?
Slide 29
Slide 30
Slide 31
Slide 32
Slide 33
Slide 34
Slide 35
How much do you want to create
“Bad Evidence”?
Насколько
вы
готовы
получить
доказательство
обратного
?
Slide 36
You don’t want to do something if it is going
to go against your theory of the case.
Вы
не
хотите
делать
что
то
что
повредит
вашей
теории
Slide 37
Rather than trying to get to the truth, what
you’re trying to do is build your case, and
make it the strongest case possible.
Вместо
того
чтобы
докопаться
до
истины
вы
пытаетесь
защитить
свою
версию
,
сделав
ее
доказательство
"
пуленепробиваемым
".
Slide 38
W
h
a
t
d
o
e
s
v
e
r
ific
a
t
i
o
n
b
i
a
s
c
a
u
s
e
y
o
u
t
o
d
o
?
I
g
n
o
r
e
i
t
a
n
d
p
u
s
h
i
t
t
o
t
h
e
s
i
d
e
.
Ч
т
о
в
ы
б
у
д
е
т
е
д
е
л
а
т
ь
с
о
с
в
о
е
й
п
р
е
д
в
з
я
т
о
с
т
ь
ю
?
П
р
о
с
т
о
и
г
н
о
р
и
р
у
й
т
е
е
е
.
Slide 39
Slide 40
Bad Evidence
Slide 41
Verification bias
Slide 42
Slide 43
Because of
(why)
we believe that changing
(what)
for
(who)
will
result into
(outcome)
Slide 44
Why
Objective and based on data
Because of
(why)
we believe
Slide 45
Why
•
Because of a gut feeling, we believe (…)
•
Because I like it better, we believe (…)
•
Because I saw it on another website, we
believe (…)
Bad examples
Objective and based on data
Because of
(why)
we believe
Slide 46
Why
•
Because of research described in article (…), we believe (…)
•
After done user research, we believe
(…)
•
Based on a previous experiment doing (…), we believe
(…)
Objective and based on data
Good examples
Because of
(why)
we believe
Slide 47
What
An accurate, short
description of your change
Because of
(why)
we believe that changing
(what
)
Slide 48
What
An accurate, short
description of your change
•
changing it to pink
•
changing the title that is on the top of the first block on the
home page to 16px Arial #FF0000
Bad examples
Because of
(why)
we believe that changing
(what
)
Slide 49
What
•
changing the background of search box to pink
•
opening pictures in the search page in a lightbox when
clicking on it
Good examples
An accurate, short description of your change
Because of
(why)
we believe that changing
(what
)
Slide 50
Who
A realistic, accurate description of your target group
Because of
(why)
we believe that changing
(what)
for
(who
)
Slide 51
Who
A realistic, accurate description of your target group
•
everyone
•
users booking a hotel in Novosibirsk, named Paul, from
Amsterdam, with a big beard
Bad examples
Because of
(why)
we believe that changing
(what)
for
(who
)
Slide 52
Who
A realistic, accurate description of your target group
•
users visiting the home page
•
users searching for a property in Novosibirsk
•
users who are logged in
Good examples
Because of
(why)
we believe that changing
(what)
for
(who
)
Slide 53
Outcome
measurable, expected changes
Because of
(why)
we believe that changing
(what)
for
(who)
will result into
(outcome)
Slide 54
Outcome
measurable, expected changes
•
users feeling better
•
the site looking prettier
•
an increase in loyalty
Bad examples
Because of
(why)
we believe that changing
(what)
for
(who)
will result into
(outcome)
Slide 55
Outcome
•
an increase in earnings
•
a decrease in returned products
•
an increase in sign-ups
Good examples
Because of
(why)
we believe that changing
(what)
for
(who)
will result into
(outcome)
measurable, expected changes
Slide 56
Because of
(why)
we believe that changing
(what)
for
(who)
will
result into
(outcome)
Slide 57
Because of
user research
we believe that changing
(what)
for
(who)
will result into
(outcome)
Slide 58
Because of
user research
we believe that changing
the
background of the search box to pink
for
(who)
will result into
(outcome)
Slide 59
Because of
user research
we believe that changing
the
background of the search box to pink
for
users that visit the
homepage
will result into
(outcome)
Slide 60
Because of
user research
we believe that changing
the
background of the search box to pink
for
users that visit the
homepage
will result into
an increase in bookings
Slide 61
Because of
user research
we believe that changing
the
background of the search box to pink
for
users that visit the
homepage
will result into
an increase in bookings
Slide 62
Because of
user research
we believe that changing
the
background of the search box to pink
for
users that visit the
homepage
will result into
an increase in bookings
Slide 63
You can
never
be 100% confident
that your test is correct
Slide 64
The more you measure, the higher
the chance some things are incorrect
Slide 65
clicks on button
hover over button
bookings
visits on page
scrolled to button
bookings from IE8
bookings from Malaysia
users going to search results
logins
sign ups
clicks on logo
time on page
returning visitors
price of booking
number of rooms booked
language changes
calls to customer service
buys with credit card
Slide 66
visits on page
clicks on button
hover over button
bookings
scrolled to button
bookings from IE8
bookings from Malaysia
users going to search results
logins
sign ups
clicks on logo
time on page
returning visitors
price of booking
number of rooms booked
language changes
calls to customer service
buys with credit card
Slide 67
logins
clicks on button
hover over button
bookings
visits on page
scrolled to button
bookings from IE8
bookings from Malaysia
users going to search results
sign ups
clicks on logo
time on page
returning visitors
price of booking
number of rooms booked
language changes
calls to customer service
buys with credit card
Slide 68
bookings from Malaysia
clicks on button
hover over button
bookings
visits on page
scrolled to button
bookings from IE8
users going to search results
logins
sign ups
clicks on logo
time on page
returning visitors
price of booking
number of rooms booked
language changes
calls to customer service
buys with credit card
Slide 69
clicks on button
hover over button
bookings
visits on page
scrolled to button
bookings from IE8
bookings from Malaysia
users going to search results
logins
sign ups
clicks on logo
time on page
returning visitors
price of booking
number of rooms booked
language changes
calls to customer service
buys with credit card
Slide 70
clicks on button
hover over button
bookings
visits on page
scrolled to button
bookings from IE8
bookings from Malaysia
users going to search results
logins
sign ups
clicks on logo
time on page
returning visitors
price of booking
number of rooms booked
language changes
calls to customer service
buys with credit card
+0.1%
-0.2%
+2.3%
+0.3%
+4.7%
-3.1%
+0.0%
+3.5%
-1.1%
-2.1%
+0.3%
+2.1%
-1.8%
-0.3%
+0.0%
+0.5%
+4.3%
-0.2%
Slide 71
clicks on button
hover over button
bookings
bookings from IE8
bookings from Malaysia
time on page
price of booking
number of rooms booked
language changes
+2.3%
+4.7%
-3.1%
+3.5%
-1.1%
-2.1%
+2.1%
-1.8%
+4.3%
visits on page
scrolled to button
users going to search results
logins
sign ups
clicks on logo
returning visitors
calls to customer service
buys with credit card
+0.1%
-0.2%
+0.3%
+0.0%
+0.3%
-0.3%
+0.0%
+0.5%
-0.2%
Slide 72
bookings
-1.8%
clicks on button
hover over button
visits on page
scrolled to button
bookings from IE8
bookings from Malaysia
users going to search results
logins
sign ups
clicks on logo
time on page
returning visitors
price of booking
number of rooms booked
language changes
calls to customer service
buys with credit card
+0.1%
-0.2%
+2.3%
+0.3%
+4.7%
-3.1%
+0.0%
+3.5%
-1.1%
-2.1%
+0.3%
+2.1%
-0.3%
+0.0%
+0.5%
+4.3%
-0.2%
Slide 73
bookings
price of booking
calls to customer service
-0.2%
-1.8%
+4.3%
clicks on button
hover over button
visits on page
scrolled to button
bookings from IE8
bookings from Malaysia
users going to search results
logins
sign ups
clicks on logo
time on page
returning visitors
number of rooms booked
language changes
buys with credit card
+0.1%
+2.3%
+0.3%
+4.7%
-3.1%
+0.0%
+3.5%
-1.1%
-2.1%
+0.3%
+2.1%
-0.3%
+0.0%
+0.5%
-0.2%
Slide 74
Focus on your
defined metrics
, but also keep an eye
on your
health metrics
Slide 75
Be
honest
with yourself
Slide 76
Metrics that are not in hypothesis
Slide 77
“price is going up, so it must be doing well”
“price is going down, so it must be a false negative”
vs.
Metrics that are not in hypothesis
Slide 78
Newly implemented metrics
Slide 79
“this new metric is positive, it’s working great!”
“this new metric is negative, must be having a bug”
vs.
Newly implemented metrics
Slide 80
Sample size
Slide 81
“it’s positive after 5 days, let’s put it in production”
“it’s negative after 5 days, let’s
run it for another few days”
vs.
Sample size
Slide 82
•
Number of
visitors
•
How
big of a change
you want to measure
•
How
confident
you want to be, that your test is correct
How long should your run your A/B test?
Slide 83
Slide 84
Create a
solid hypothesis
, and stick to it
Slide 85
Make your decision based on
data
Slide 86
There is no such thing as
bad evidence
, just a
bad hypothesis