Corporate

Conducting User Research With ARGOS Customers

The Argos focus group session

There's a first time for everything, and this was certainly needed.

While working with the developers that built this software, some questions rose amongst the team: should we bring in a focus group of our current users? Would this information help us make more informed future design decisions?


My answer to both questions: Yes.

After everyone came to this conclusion, it was my job to email all users that elected to be part of the Product Advisory Council, a selected group of users who volunteered to be test users.

Oh, and did I mention designing the entire workshop?

That's right - from start to finish, I built the workshop, ensuring that the appropriate channels were set up to collect data during the session. And I shamelessly used Orchestrating Experiences as a reference. (You should read it, it's pretty good.)

But First... What Is ARGOS?

ARGOS is a database-oriented solution designed to help higher education institutions with their data reporting. By inputting specific datasets into components referred to as DataBlocks, ARGOS translates the data into charts and dashboards.

How It Was Done

First, I emailed all 8 participants surveys to gather initial data. 6 responded.

What I Gathered From This Survey

4 of 6 survey participants used Argos daily, and the other 2 used it weekly. Results related to the Argos Web Viewer, an alternate version of Argos, were slightly different - while half of participants admitted to using it once monthly, the other half stated use of Argos once a week. These usage patterns were revealing something interesting.

The Focus Group Session

I provided a space for open discussion, where users could discuss likes, dislikes, and ideas.

EasyRetro was the software of choice for this session. We allowed participants 3 votes for each topic (of 4), then allowed 5 minutes for discussion related to each column.

It's All In The Data

After the 8 participants left their comments on the board, I codified the data into quantitative insights that the development team could later use to make more informed future decisions related to Argos development. My aspiration was to arm them with sufficient knowledge of how the user interacts with our products.

Translating The Data

Using my newly developed understanding of data science, I quickly translated these comments left on the board into real insights.

I created an interactive Excel file detailing results that modified themselves depending on the feature that was studied.

After much data crunching...

LI created a couple of charts that compared comments and issues discussed (whether they were visual or functionality based).

The qualitative and quantitative data acted as a reference tool for the development team to act upon.

In Conclusion...

Performing this research session with Argos customers proved to be insightful for not just the development team. It proved to be insightful for the design & customer support teams as well. And by acting upon these insights, we were able to figure out the next best direction for ARGOS.

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