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From YouTube: CHAOSS.Value.November.22.2019
Description
CHAOSS.Value.November.22.2019
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B
B
C
A
This
is
what
the
description
and
the
objective
looked
like
before
you
can
see.
It
was
a
lot
and
from
the
discussion.
This
was
the
one
thing
that
we
needed
to
change,
while
the
other
changes
grows
small
and
we
had
our
endowment
during
the
call,
and
so
now
we
look
at
the
current
version
of
the
pull
request.
It
fits
on
one
page
well,
I'll.
B
B
A
A
Okay,
so
the
description
so
that
the
metric
is
the
social
currency
metric
system.
The
question
is:
how
does
one
measure
the
value
of
community
interactions
and
accurately
gauge
trust
within
a
community
as
evident
from
qualitative
sentiment,
and
so
the
source
current
symmetric
system
is
an
aggregate
or
composite
metric?
The
social
currency
or
social
capital
is
a
social
scientific
theory
and
broadly
considers
how
human
interactions
build
relationships
and
Trust
in
a
community.
Interpersonal
relationships
are
the
social
fabric
of
communities.
This
is
shown
in
the
leaveners
relationship
model
and
the
social
penetration
theory.
A
Community
members
sense
of
personal
and
group
identity
grows
as
they
interact.
Members
build,
shared
values,
accumulate
the
sense
of
trust,
encourage
cooperation
and
garner
a
process
T
through
acts
of
self
disclosure.
These
interactions
build
and
increase
the
measurable
sense
of
connection.
The
measure
of
these
characteristics
is
called
social
currency.
The
social
currency
metric
system
is
a
way
to
sort
through
a
firehose
of
qualitative
data
from
community
interactions.
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A
D
Well,
it
wasn't
there
last
week,
but
we
have
chatted
about
this
and
and
so
roughly
I
think
I've
got
an
idea
about
what
you're
getting
at
here.
D
I
think
it
ought
to
be
a
metric.
I
mean
there's
a
lot
of
material
here
and
I'm
curious
okay.
So
the
idea
of
like
sentiment,
analysis
or
trying
to
put
a
attach
a
number
two
sort
of
intangibles,
or
you
know,
kind
of
work,
interaction,
things
of
that
nature,
I
think
is
really
cool
and-
and
you
know
from
there
I
think
probably
you
know
at
some
point.
Somebody
would
bubble
that
up
and
say:
oh
like
like
what
is
the
business
value
of
that
and
there's
there's
going
to
be
a
business
value.
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A
So
how
do
we
actually
implement
this?
First,
you
set
up
a
data
collection
platform.
So
if
your
choice
is
described
in
a
section
middle,
you
want
to
ensure
it
has
minimum
of
four
dimensions
and
three
communication
channels
once
it
is
set
up.
The
following
method
is
used
to
collect
analyze
and
interpret
results,
and
this
is
the
circle
of
collect,
standardize,
analyze,
share,
benchmark
and
repeat,
and
so
each
of
these
steps
are
described
here
in
broad
strokes
or
collect
communication
traces.
A
A
Then
we
have
standardized
how
communication
traces
should
be
assessed.
You
use
the
Codex
to
define
important
concepts
as
a
tracking
keyword
or
category
in
the
focal
community.
This
unified
codex
of
terms
ensures
consistent
and
analysis
as
different
people
read
and
tag
community
sentiment.
Formalizing.
The
revision
and
addition
structure
to
this
codex
on
a
regular
basis
is
a
must.
A
Then
we
get
to
analyze
the
communication
traces
here.
We
take
the
community
sentiment
analyze
it
in
this
ocean
currents,
metric
system
tool
by
tagging
data
with
critics
terms.
If
the
tagging
is
done
by
a
team
of
people
that
is
recommended
that
everyone
gets
together
regularly
to
discuss
trends
and
ensure
consistent
accus.
However,
the
tagging
is
done
by
an
artificial
intelligence
algorithm.
Then
a
human
team
should
supervise
and
retrain
the
a
necessary.
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B
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B
A
Order,
yes,
we
can
implement
it
as
I
was
talking
with
Samantha
and
Joe,
and
yesterday
the
question
is:
who
wants
to
implement
it?
So
if
we
have
someone
in
the
community
that
would
like
to
do
great
for
Ramona,
the
church
could
implement
it,
but
as
a
business,
we
would
need
someone
who
is
willing
to
put
money
on
that.
D
E
The
system,
as
far
as
implementation
goes,
we've
built
the
system
in
air
table
in
Google
sheets
in
Google
data
studio,
we've
built
in
smart
sheets,
but
as
far
as
like
larger
sentiment,
analysis
platforms,
go
we've
looked
at
max
qda
and
tag
ads
and
at
what
was
the
name
Medallia.
So
Medallia
is
like
a
Net
Promoter
Score
kind
of
company,
but
they
include
a
whole
bunch
of
other
features
and
we
were
able
to
implement
it
perfectly
fine.
In.
B
B
A
A
E
B
Discussing
on
that
I
know,
I,
like
I'm
very
familiar
with
the
dashboard
term
and
like
I,
can
very
well
sense
it.
But
since
we
are
developing
an
standardised
metric
for
everyone
to
adopt
in
any
situation,
that's
where
I
was
proposing
like
are
we
limiting
a
user
to
stand
trial
yeah?
Maybe
an
example
of
a
poor
will
be
funny.
I.
E
I
definitely
agree
with
you
that
we
don't
really
want
to
pigeonhole
people
into
specific
visualizations
of
the
data.
Thank
you
for
bringing
that
up.
A
C
A
A
There
are
several
filters
by
which
we
can
analyze
this
data.
We
can
analyze
it
by
Channel
and
certified
where
the
data
was
coming
from.
We
can
filter
it
by
tag
and
show
data
based
on
what
codex
tags
were
used
to
identify,
sentiment
and
comments.
We
can
filter
by
time
to
show
trends
and
data
over
time
and
pull
specific
data
sets.
You
can
filter
by
most
impactful
comments.
This
is
what
sorting
and
filtering
by
flax
that
can
be
placed
in
the
data
to
highlight
specific
data
Parnes
and
explain
their
importance.
A
Any
I
versus
human
tag
filtered
by
whether
tags
were
applied
programmatically
or
by
a
person,
and
we
can
also
have
related
currency
or
weight,
is
the
importance
of
certain
comments
based
on
any
one
individually.
Selected
criteria
cannot,
at
the
moment,
support
more
than
one
way
to
locate
for
design
a
resulting
way
to
use
simply
reorder
of
information
based
on
weight.
E
The
concept
that
I'm
trying
to
get
across
here
is,
if
you
start
modifying
the
data
based
on
what
you,
the
person
in
power
in
the
community
think
is
important.
It
defeats
the
purpose
of
the
system,
but
it's
also
really
important
to
be
able
to
do
that,
because
you
know
your
company
best
so
Dylan
and
I
spent
like
days
trying
to
determine
whether
or
not
it
would
be
a
good
idea
to
offer
multidimensional
weighted
currency,
and
we
couldn't
find
a
way
to
offer
that
feature
and
also
not
completely
undermine
the
system.
E
A
Okay,
visualizations
here's
the
sample
of
a
dashboard.
Here's
an
example
of
how
to
target
and
carry
on
a
pivot
table,
show
the
values,
and
then
we
have
here
spending
a
common
view
where
you
can
really
focus
in
on
one
specific
comment
and
then
down
here
we
have
this
section.
We
spend
a
lot
of
time
on
last
time
with
regards
to
how
do
you
set
up
the
tool?
How
do
you
do
the
data
tagging?
What
is
the
data
in
the
spreadsheet?
How
do
we
describe
that
and
so
on?
A
That's
all
implementation
details,
data
collection
strategies
for
work
because
pull
in
the
trace
data.
One
thing
to
consider
is
the
legal
and
regulatory
limitations
are
how
long
you
can
retain.
They
do
them.
So
any
now
that
we
went
through
the
implementation
section,
what
do
you
think
Derek?
What
is
trace
data
trace
data
is
data
that
is
produced
accidentally
like
when
you
write
an
email
and
it's
stored
in
an
archive.
Your
purpose
was
not
to
create
archive
data.
Your
purpose
was
to
convey
message
and
the
trace
of
that
interaction
with
someone.
E
Do
want
to
clarify
that
trace
data
is
basically
data,
that's
left
behind,
but
the
system
would
be
more
apps,
and
this
is
the
mark,
you're
speaking
to
say,
passively,
produced
data,
basically
just
data
that
people
are
creating
in
passing
as
they
communicate,
rather
than
actively
being
requested.
So
if
someone
submits
a
survey,
for
instance,
that
is
actively
provided
data,
but
if
it's
a
passive
thing,
where
it's
just
in
a
script
or
in
a
support
ticket,
that
is
sentiment
that
was
acquired
passively.
D
That
sounds
fine
I
mean
the
vocabulary
is
really
interesting
when
you're
trying
to
figure
out
how
to
sort
of
define
and
explain
so
as
an
outsider
would
be
really
handy
to
to
know.
What
exactly
are
the
data
sources
that
you're
thinking
about
you
know
to
say?
Is
it
email?
Is
it?
Is
it
tweets?
Is
it
I.
E
Can
answer
that
I
can
answer
that
very
short,
and
then
we
can
go
into
it
a
little
bit
more.
If
you
really
want
to
Jory
and
I
have
had
a
lot
of
discussions
about
that
data
sources
are
gonna,
be
very
community
specific
and
with
the
social
currency
metric
system,
we
have
found
that
the
larger
in
more
public
the
data,
the
more
difficult
it
is
to
integrate
it
with
the
SEMS.
E
It
is
by
pulling
in
Google
reviews,
Yelp
reviews
various
different
bits
of
third-party
review
systems,
so
they
they
can
easily
process
through
those
reviews
and
that
data
to
find
potential
improvements.
Internal
to
a
community
I
recommend
making
sure
that
any
of
your
internal
communication
with
those
communities
is
being
monitored.
If
your
community
is
like
a
bulletin
board
system,
for
instance,
just
doing
like
a
random
poll
of
comments
every
once
in
a
while
or
creating
a
system
where
administrators
can
say,
okay,
this
comment
was
important
that
will
go
into
the
system.
A
D
Is
and
and
I
have
maybe
one
other
sort
of
suggestion,
and
that
is
for
people
in
the
chaos
community
it'd
be
helpful
to
identify
which
of
these
things
already
exists
within
grimore
and
with
an
auger.
So
you
know,
if
there's
just
data,
that's
there
off
the
shelf.
They
have
to
go
out
and
and
custom
generate
its
new.
That
would
grease
the
skids
well
to
apply
this.
E
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E
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D
I'll
be
fine
without
the
crypto,
that's
okay!
Your.
D
A
D
D
So
what
I'm
planning
on
doing
is
just
writing
a
very
simple
little
UI
that
that
you
know
would
go
into
elasticsearch
yank
out
some
JSON
or
some
CSV,
whatever
you
know
whatever
it
gives
and
then
allow
you
to
enter
in,
for
example,
your
labor
rate
and
let
it
calculate
for
you,
you
know.
For
example,
you
know
a
total
dollar
cost
of
closing
an
issue
or
total
dollar
cost
cost
of
a
request.
Things
of
that
nature.
So
just
very
simple:
yeah.
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E
D
A
A
E
Time
on
Tuesdays,
oh,
so
it's
the
same
as
this
time,
except
on
Tuesdays;
instead,
yes,
sir
okay,
so
what
wrists
work
until
7:00
on
those
days
Tuesdays
and
join
you,
then,
because
this
is
just
basically
a
working
meeting
to
take
care
of
metrics
that
already
existing
right.
This
is
the
call
where
we
take
care.
A
Of
the
value
metrics
like
the
social
currency
metric
system,
we
just
accept
for
today
or
the
labor
cost
or
opportunities,
but
then
chaos
as
a
whole
has
risk.
Metrics
has
diversity.
Inclusion,
metrics
has
evolution
metric
common
metrics,
so
these
are
all
different
working
groups
that
have
their
own
time
where
they
meet
and
viewport.
And
then
this
call
on
Tuesdays
is
where
we
report
out
where
we
get
together
and
talk
about
the
big
picture.
Okay,.