Date: Thu, 28 Mar 2024 11:00:34 +0000 (UTC)
Message-ID: <1563243273.111.1711623634172@7db3c92407cd>
Subject: Exported From Confluence
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Tree testing, especially the online version of it, is a fairly recent te=
chnique, much newer than card sorting, for example. Before tree testing, de=
signers used other methods to check the effectiveness of their site structu=
res.
Here=E2=80=99s our take on how does tree testing compares to a few of th=
ese methods.
Closed card sorting<=
/h1>
Before tree testing became established, closed card sorts were a popular way to evaluate a site structure.
In a closed sort, participants are given a =E2=80=9Cpile=E2=80=9D of top=
ic cards and asked to put them into pre-named groups. The group names are t=
ypically the top-level headings in the site tree:
Once enough participants have done the closed sort, we can inspect the r=
esults to see if they put the right cards into the right buckets and (if no=
t) where they disagreed.
While this does help us judge the effectiveness of the top-level heading=
s, the results we get from a closed card sort are not as useful as =
a tree test, because:
- Most closed sorts only test a single set of groups, which only represen=
t a single level of the tree (usually the top level). Tree testing evaluate=
s the full depth of the tree.
- Closed sorts are essentially a filing exercise (=E2=80=9CWhere would yo=
u put this topic?=E2=80=9D). While this is similar to browsing a website, i=
t=E2=80=99s doesn=E2=80=99t mimic the act of browsing as well as tree testi=
ng does.
- Tree-test results are easier to analyze than closed-card-sort results (=
as we=E2=80=99ll see in Chapter 12 - Analyzing resu=
lts).
For more on comparing closed sorts to tree tests, see David Juhl=
in's well-considered article, Is closed=
card sorting an outdated technique for IA?
Usability testing
Usability testing, whether in person or using remote tools, is a powerfu=
l technique, but it differs in some major ways from tree testing:
- Usability testing requires a website (or some kind of prototype =E2=80=
=93 paper or clickable). Tree testing can be done earlier in the process be=
cause all it really requires is a text skeleton of a site tree.
- Tree testing isolates the organization of topics and their labeling. Us=
ability testing, on the other hand, shows the effects of combining these fa=
ctors with others such as navigation, search, actual content, visual design=
, and so on.
Early in the design process, it=E2=80=99s good to simplify things by just =
working on a few factors at a time and getting them right. Tree testing let=
s us do that.
- Tree-testing tools largely automate the analysis of the results. Usabil=
ity testing usually yields rich (but =E2=80=9Canalog=E2=80=9D) results that=
take more time and effort to interpret.
Tree testing certainly does not take the place of usability testing. Think of tree testing rather as a complement to usability testing - a early way of testing structural ideas before we even have a protot=
ype.
It's also good to know that th=
at tree-testing results line up nicely with later usability testing=
, as described in this 2014 academic paper.
Web analytics
Analytics are great because they tell us what our total population of si=
te visitors is actually doing on our site =E2=80=93 where they click, where=
they don=E2=80=99t, and so on.
The traditional weakness of analytics is that, while they can tell us (i=
n detail) what actions our users are taking on the site, they can=
=E2=80=99t tell us why. When we track visitors jumping from our ho=
me page to an intermediate landing page to a content page, we have no idea =
why they=E2=80=99re going there; maybe they=E2=80=99re looking for what we =
intended, maybe they=E2=80=99re not. Maybe they leave because they found th=
e answer they wanted; maybe they leave because they didn=E2=80=99t. We have=
no context, so we don=E2=80=99t know how well the site performed in that s=
ense.
Like a usability test, tree testing gives us context by letting us set s=
pecific tasks for the user to do. When they go down a certain path in our t=
ree, we know if that=E2=80=99s a success or a failure.
Analytics are a great way to see where our users are going, and can reve=
al issues in our site structure, but on their own they=E2=80=99re not enoug=
h.
Next: =
Chapter 3 - key points
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