Test Measures
Appendices
Observation
Log Data: Tester
1 | Tester 2 | Tester
3
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Usability
measurement is always a challenging task due to its subjectivity,
competing theories and human factors involved. We make planning
in our test preparation kit to take measurements of user achievements
and satisfaction as long as it is possible and relevant to the
interaction. In detail scale we are aiming at measuring the efficacy
of our design choices on:
- Navigation:
the use of ease leading user to specific pages;
- Instruction
and feedback: the natural information overflow the users;
- Terminology
recognition. This has always been a problem and we have to invest
a considerate propotion of efforts on that with uncertain The
pilot test offers a chance to examine our assumptions..
With only
3 participants to carry out the real test, our measurements may
not be statistics sound enough in evaluating the overall usability,
yet it nonetheless provides feedback to and could serve as a pilot
usability test on a broader audience in a formal experiment.
Our measurements
embraced subjective and objective dimensions, in quantitative
and qualitative forms.
Subjective
vs. Objective: Subjective nature of the user experience is
important part of our measurements. We plan in various part of
our test kit to measure subjective aspect of user satisfaction.
Most of them are in qualitative form, such as survey questions,
observations, or more open ended general questions. We are more
focused on subjective and qualitative data in this regard.
However,
quantitative methods are also employed. Likert scale, for example,
is used to gather user satisfaction data and would find application
for more representative sample. Those data, in a larger pool of
participants, could yield more meaningful results to shed light
on design choices and improvement.
Objective
data includes the quantitative measurement we take during the
test. They are independent from user perception or their claim.
It is very interesting to notice discrepancy between the subjective
and objective results. Specifically, contrary to our assumption,
some complication of the interaction and longer process time does
not always mean negative user experience. More study will be intriguing
in formal experiment.
Quantitative
vs. Qualitative: Both of them can be used to acquire subjective
and objective data. Most of the user feedback we recorded are
in qualitative manner. So are our observation logs.
Quantitative
data are gathered in:
- Time taken
to perform a certain task;
- Number
of wrong clicks user committed before fulfilling the mission;
- Likert
scale on user satisfaction;
- Average
rating of the above Likert scale data.
In our test
preparation kit, we had planned to measure how long it may take
a user to complete the Task 2, related to Registration Process.
In general few seconds were taken in this task.
Under normal
circumstances the first few testers would have been pilot testers
who help us work out bugs in the testing procedures and we would
follow a protocol more closely with a larger sample pool of users.
For this set of tests, we observed and noted difficulties that
users would have and the wrong places where they had "clicked"
to complete a task. Often, testers spoke out loud about the problems
they were having. Notes from those speeches, the task surveys,
and discussions with the user helped us understand how a user
felt about a particular task, the steps it took, and the amount
and quality of information involved.
The user
evaluation is presented at Results,
while the user navigation process and comments can be found at
the Observation
Log Data: Tester
1 | Tester 2 | Tester
3.