Remember that you, as a design-er/developer, are operating in
secondary mode, even if only
some of the time. Most people
are operating in primary mode
most of the time. Given that
your intuitions are likely wrong
we need to conduct well-grounded evaluation and have an
experimental mindset. Which
brings me to my next point.
2. Broaden your ideas about
evaluation. This is more than
a numbers game. You don’t
understand social by only looking at your social network, try to
understand what else your users
are using. Research papers usually report data sets from one
social site. Only comparative
studies and studies that look at
behavior across sites can give a
picture of people’s actual social
patterns. Grand “implications”
about human sociality based
on data from one social site are
overblown and should be taken
with a pinch of salt. Start with
the assumption that you are
being biased and myopic, and
from there drill into the data to
see what you might be missing.
And then go and collect more
data from elsewhere.
3. Understand your constituen-
cies. People operate in groups
and communities. I find the word
“community” to be almost as
nebulous as the word “network.”
But, that being said, at least we
have some idea of what draws
people together in a commu-
nity—that is, why they may be
there. We talk about communi-
ties of circumstance, communi-
ties of interest,and communities
of practice; all of these describe
different factors that may draw
people to one another and differ-
ent needs that are perhaps being
met. Thus, we can think about
how these constituencies may
have different needs and design
features that may only be used
by a few but have high value in
that they deepen possibilities for
collaborative engagement. So, fol-
lowing Grudin’s point, don’t only
support features that are most
trafficked. Give some thought to
seldom used but highly valued.
[ 2] Grudin, J.
“Groupware and
Social Dynamics:
Eight Challenges
for Developers.”
Communications of
the ACM 37, 1 (1994):
92–105.
AbOut the AuthOr Elizabeth
Churchill is a principal research scientist at
Yahoo! Research leading research in social
media. Originally a psychologist by training,
for the past 15 years she has studied and
designed technologies for effective social
connection. At Yahoo, her work focuses on
how Internet applications and services are
woven into everyday lives. Obsessed with
memory and sentiment, in her spare time
Churchill researches how people manage
their digital and physical archives. She
rates herself a packrat, her greatest joy is
an attic stuffed with memorabilia.
September + October 2010
DOi: 10.1145/1836216.1836222
© 2010 ACM 1072-5220/10/0900 $10.00