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From YouTube: Merge Request With No Pipeline Experiment Update
Description
Tim & Jensen review the current status of the MR with no pipeline experiment and share ideas on how to make it better. Feel free to contribute here -- https://gitlab.com/gitlab-org/growth/product/-/issues/1559
A
A
Yeah
looks
good
good
awesome,
alright,
so
a
couple
of
things
the
mr
with
no
pipeline
experiment
has
been
live
now
since
march
30th
and
we've
been
slowly
kind
of
ramping
it
up
right.
Now,
it's
it's
sitting
at
about
thirty
percent
of
users
uncom
only
so
that's
who
we're
showing
it
to,
but
to
give
you
a
a
higher
level
overview
of
what
it
actually
is.
A
Is
we
wanted
to
identify
users
on
the
website
who
have
created
an
mr
that
have
not
created
a
pipeline
and
see
if
we
could
actually
get
them
to
move
through
a
workflow
and
set
up
that
pipeline
and
really
what
we
wanted
to
do
is
a
few
things
really
see
if
we
could
get
them
to
a
not
only
set
up
a
pipeline
which
would
lead
to
see
I'm
minutes
usage
and
potentially
an
add-on
sale.
But
the
second
thing
really
would
be
to
expand
or
increase
stage
adoption
from
create
to
verify.
A
So,
as
of
today
really
were
reset,
is
we've
got
about
five
and
a
half
percent
of
users
who
are
actually
shown
the
first
nudge
that
are
engaging
and
then,
after
they
engage
about
almost
10
percent
nine
and
a
half
percent
of
them
are
actually
completing
the
workflow
and
creating
a
funnel
creating
a
pipeline.
The
success
criteria
that
we
had
for
this
was
15
percent
of
users
that
actually
engaged
were
to
complete
the
flow,
so
we're
going
to
continue
to
kind
of
iterate
on
the
on
the
copy
and
the
designs.
A
A
Cool,
so
what
we're
looking
at
here
is
basically
all
of
the
instrumentation
and
the
events
that
we
had
to
to
create
in
order
to
collect
information
on
the
actual
and
experiment.
So
it's
one
thing
to
to
build
a
workflow.
It's
another
thing
to
actually
capture
the
information
on
it
at
the
top
level.
Here,
what
we're
doing
is
just
capturing
all
the
rock
outs
and
then
down
here.
What
we've
done
is
we've
split
it
into
two
different
views.
The
one
on
the
left
here
are
the
actual
total
events.
A
So
what
we're
looking
at
is
the
event
counts
and
then,
on
the
right
hand,
side
we're
looking
at
the
unique
users.
One
thing
to
just
be
really
clear
about
is
the
events.
Multiple
events
can
be
shown
to
a
user
and
when
we
say
unique
user,
we're
talking
about
unique
user
counts,
we're
not
talking
about
user
ID,
so
it
really
is
just
account.
B
A
So,
just
to
walk
you
through
kind
of
the
funnel
here
we've
got
the
total
user
accounts
on
unique
users.
I
think
the
event
count
is
interesting,
but
I'm
more
curious
about
more
interested
in
the
unique
users,
and
this
is
how
we're
measuring
our
success.
But
we've
shown
this
to
about
35,000
users.
Almost
2,000
of
them
have
engaged
so
about
five
and
a
half
percent,
and
then
once
they
actually
engage
we're
displaying
the
second
nudge
displaying
the
third
nudge
and
then
really
the
the
completion
point
for
us
is
when
they
engage
nudge
number
three.
A
A
The
one
of
the
cool
things
that
I
feel
like
is
really
important
to
call
out
here
is
Derek
from
our
data
team
was
able
to
build
this
out.
So
we
could
see
what
happens
at
a
daily
level.
We've
got
the
counts
here
and
then
we've
actually
got.
We
have
the
conversion
funnel
broken
down
by
day.
So
once
we
start
to
iterate
on
this,
we're
going
to
be
able
to
see
you
know
what
happens
quickly.
So
if
any
new
change
is
updated,
we'll
be
able
to
see
how
it
impacts
the
actual
funnel.
B
A
Then
I
think
the
the
other
thing
that
I
wanted
to
show.
You
was
just
actually
the
clickable
prototype,
so
this
is
what
we're
showing
users
today
by
looking
at
the
data.
We
know
that
only
5%
of
people
are
actually
saying.
Okay.
This
is
interesting.
Show
me
how
so
there
might
be
some
some
opportunities
here
once
we
show
them
how
we
pop
another
message
that
says:
hey
choose
a
template.
I
had
a
request
and
actually
collect
this,
but
it
was
a
little
too
heavy
for
our
team
to
pay
instrument
and
then
B.
A
If
we
were
to
create
a
table
that
just
collected
this
information,
it
was
only
going
to
be
used
by
me,
so
we
decided
to
not
build
it
if
the
experiments
a
success
and
we
want
to
keep
it
around.
It's
probably
something
we'll
take
a
look
at,
but
this
is
what
the
second
nudge
looks
like
once
they
click
this
and
they
actually
go
into
the
the
next
step.
This
is
the
third
nudge.
A
B
A
B
Make
it
a
little
bit
more
active
like
have
them
choose
whether
or
not
like
to
write
it
right
now
or
you
know
copy
it
for
your.
Your
own
code
editor
copy,
a
template
for
your
code
editor
or
something
like
that.
I
don't
know,
but
that's
like
there's
like
a
lot
of
sort
of
ownership
over
what
code
editors
they
use
and
how
that
code
is.
A
B
B
Ide
is
great
it's
great,
mostly
for
like
quick
changes
to
to
your
code,
like
if
you,
if
you've
committed
something
and
you
like,
haven't
:,
that's
causing
failures
or
something
you
can
just
change
it
real,
quick
and
then
merge
it
right,
and
it
provides
like
a
really
quick
way
to
to
make
fixes.
Rather
than
doing
it.
You
know
in
your
own
code
editor
and
then
and
then
get
pushing
it,
but
that
I
would
just
say,
like
that's
probably
why
you're
getting
that
big
drop
off
between
1
and
2
as
people
don't
want
to.
A
B
I
got
got
time
to
learn
about
this
right
now,
so
maybe
like
a
little
bit
more
visual
explanation
of
like
what
a
pipeline
is
and
what
they
would
be
adding
would
be
useful
because
you
know
like
if
you
go
to
learn
about
CI,
it's
pretty
complicated
right,
like
you
have
to
there's
pipelines,
there's
jobs,
yeah,
there's
triggers
there's
runners,
there's
like
there's
all
this
different
stuff
that
you
have
to
sort
of
grok
before
you
know
how
to
use
the
feature
and
I
think
a
lot
of
times.
People
are
like.
Oh,
this
is
too
complicated.