User Test I
Description | Test Set-up | Findings | Links to Data
Description
General
After exploring five radically different design concepts, we came to a point where
we needed empirical data to justify consolidation decisions. The five interaction styles of each of the design concepts
have their strengths and weaknesses, and we needed to know if they could be supported by
user data. We also wanted to find out from this test which design was most superior in
terms of navigating through the metric, building graphs and being the most intuitive.
Due to the nature of paper prototypes, it is not easy to test click-and-drag interactions,
as well as the affordances of some widgets (whether a button looks clickable). But they
are sufficient to investigate the users' reaction to the interfaces and general graphing
mental models.
Test Set-up
Goals
- Which interaction style is more intuitive for creating graphs?
- Can the users understand the interface?
- Can the users navigate to a required metric easily?
Scenarios
The scenarios are deliberately set up simple enough for the low-fidelity prototypes. Users
are asked to graph a particular metric in a given time for some divisions. For the
prototypes which allow users to graph metrics in both the x-axis and y-axis (i.e. Mac and
Pivot), the users are asked to do so.
Findings
Overall
- Graph labeling is necessary, e.g. unit of measurements, x-axis and y-axis labels.
- Some form of instructions have to be given to guide users on how to begin.
- A preview of the graph to be created or the graph type provides very good feedback
to the users.
- Some form of instructions have to be given to guide users on how to begin.
- Some categories and metrics are similar enough to cause confusion. It is important
to help distinguish between similar metrics.
Excel+
- Buttons to expand design failed miserably and the user did not understand how
to drag information over.
- There is confusion between what will appear on x-axis and what will on y-axis.
Mac
- Users are not familiar with the 'Mac' interaction method of navigating through
the metric hierarchy using the column view.
- It is frustrating for users to have to go through the entire process of selecting
a metric each time they want to add a new line to a graph.
Pivot
- Users have problems understanding the graph. It needs to be more properly labeled.
- Users could not figure out how to select the metric and create a graph. It is not
very intuitive that those metric labels can be clicked and dragged.
Tabs
- There is confusion to what order to select the graphing options.
- Users did not know that those numbers on the tabs represent divisions instead of
step numbers in a process.
Tree
- The user avoided the tree and clicked elsewhere before attempting to look for
metrics in the tree.
- Users expected a "Create Graph" button after selecting a metric. There is not
enough feedback when graph is automatically created.
Links to Data
Prototypes